cfd phd

CFD with OpenSource Software

Table of Contents

Basic information

Proceedings and Course Links

2024 , 2023 , 2022 , 2021 , 2020 , 2019 , 2018 , 2017 , 2016 , 2015 , 2014 , 2013 , 2012 , 2011 , 2010 , 2009 , 2008 , 2007

Invited speakers Visitors

This is the official homepage of the PhD course CFD with OpenSource Software. It contains links to the on-going and past courses, and to the published proceedings (collection of tutorials) that are the outcome of the course each year. If you are not attending the course, but find the homepage useful, please write me a couple of words (to [email protected] ) that help me argue that this way of working is acknowledged.

Since 2021, the course consists of two courses (click links for more information):

1.      Basic Usage of OpenFOAM , 2 ECTS

2.      CFD with OpenSource Software, 7.5 ECTS

The first course is a prerequisite for the second course. There is a maximum number of participants in both courses, and passing the first course is not a guarantee to get a seat in the second course. I will pick the students that are most likely to follow instructions, follow deadlines, work independently, share knowledge, and deliver high quality. There is also an opportunity for the students to get a first experience of the work required in these courses, and a chance to decide to only complete the first course.

The course is open and free of charge to PhD students from anywhere. All the course material is available at the course homepages and it is of course free to learn from that material without enrolling the course (without getting any certificate). The participants only have additional access to assignments, supervised project work, and will get a certificate after completion.

Literature and links : It is not required to buy any book for the course. You should be fine with the lecture notes and Internet resources.

Accommodation (for on-site courses) Map for lunches (for on-site course) - not arranged by the course   (there is a restaurant in the same building).

JOIN THE OFGBG MAIL LIST TO STAY INFORMED ABOUT OpenFOAM ACTIVITIES: https://groups.google.com/group/ofgbg . Send a mail to ofgbg1 at gmail.com to get help if needed. You can opt-out any time. (and the LinkedIn group 'OFGBG', which is less sure to get information distributed: https://www.linkedin.com/groups/13544152 )

Acknowledgement: OPENFOAM ®  is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM software.

Impact/citations

At www.scopus.com , use “advanced search” with: “ REFSRCTITLE ( "CFD with OpenSource Software" ) ” ( LINK THAT SHOULD DO THIS FOR YOU )

Find citations through Google Scholar . Let me know if you have search keywords that makes the list more accurate.

I am honored to have received the “ OpenFOAM community contribution award ” during “The 3 rd UCL OpenFOAM Workshop”, 24 th February 2021, with the motivation:

“He has created a free OpenFOAM course at the Chalmers University of Technology. His course is totally free and open for worldwide PhD students. He spent enormous hours preparing and delivering the course, every year since 2007. The course covers deep knowledge of various CFD topics and has practically helped many junior researchers to solve their problems using OpenFOAM . He challenged his students to make a new OpenFOAM function or solver before graduate, which made some of them become pioneering young leaders who continue contributing CFD community in an opensource manner.”

The selection process was (a) nominated by audiences, (b) recommended by UCL OpenFOAM Workshop community (c) approved by international OpenFOAM Workshop community.

A recording is available at https://youtu.be/IYNOZPVl9X8 . It starts with a description of the award. I get the award at 3:10, and it continues to 10:45. After that the award is given also to another person. Note that I have asked them to donate the prize money (£200) to UNHCR.

Proceedings and course links

I will not start thinking about the 2024 course until the 2023 course is finished. I will start a new list of interested 1st February (don’t send applications before that date!). There is a maximum number of participants, and the course quickly fills up. Meanwhile, have a look at the link to information about the course(s) above.

Proceedings 2023: (cite as: Proceedings of CFD with OpenSource Software, 2023, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2023 )

·        Preface (TODO) , Håkan Nilsson

·         

·        Lecture notes:

o    Basic Usage of OpenFOAM (prerequisite course)

§   TODO

o    CFD with OpenSource Software (main course)

·        Student tutorials:

o    Implementing Immersed Boundary Method for particle representation in OpenFOAM-v2112 , Chit Yan Toe, Slides , Report , Files

o    Introducing a hybrid rebound and sticking particle-wall interaction model , Johannes Hansson, Slides , Report , Code , Cases

o    Implementing a non-isothermal interPhaseChangeFoam solver with a thermodynamic cavitation model , Keivan Afshar Ghasemi, Slides , Report , Code , Cases

o    Radiative heat transfer in OpenFOAM and its non-grey implementation , Wei Chen, Slides , Report , Code , Cases

o    Implementation of a Sectional Population Balance Model (SPBM) in laminar combustion model , Sina Kazemi, Slides , Report , Files

o    Title , Name, Slides, Report, Files

Disclaimer: This is a student project work, done as part of a course where OpenFOAM and some other OpenSource software are introduced to the students. Any reader should be aware that it might not be free of errors. Still, it might be useful for someone who would like learn some details similar to the ones presented in the report and in the accompanying files. The material has gone through a review process. The role of the reviewer is to go through the tutorial and make sure that it works, that it is possible to follow, and to some extent correct the writing. The reviewer has no responsibility for the contents

Proceedings 2022: (cite as: Proceedings of CFD with OpenSource Software, 2022, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2022 )

·        Preface , Håkan Nilsson

§   Syllabus

§   Initial preparations

§   OpenFOAM applications and case set-up

§   ParaFoam tutorial

§   Find solver and utility tutorials in the source code and learn how to use them

§   Some utility and functionObject tutorials

§   A quick look at the source code of applications

§   Source code and binary file directory organization, browsing, name conventions, and compilation of installation

§   User directory organization, and compilation as a user

§   High-level programming from scratch in OpenFOAM

§   Implementation of simple solvers File: printOutfvMatrixCoeffs.H

§   The PISO algorithm in icoFoam

§   The unsteady correction term ( ddtCorr )

§   Components of icoFoam (using Doxygen )

§   The PIMPLE algorithm and under-relaxation in OpenFOAM

§   Implement electromagnetic solver Case: rodFoamCase.tgz

§   Implement passive scalar transport solver

§   Implement solid particles in VOF solver

§   Basics of C++ and how it is used in OpenFOAM

§   Object orientation in C++ and OpenFOAM

§   Implement class in library (as in OpenFOAM )

§   A walk through some OpenFOAM code: Vector

§   Doxygen in cylindricalInletVelocity

§   Macro makePatchTypeField in cylindricalInletVelocity Code: myCylindricalInletVelocityFvPatchVectorFieldMacroReplacement

§   Debugging

§   Details of discretization of equations in OpenFOAM Code: icoLduAddressingFoam.tar.gz

§   Details of the divergence term

§   Material that was not checked for the present OpenFOAM version, but still part of the course:

·        Implement a normalizedHelicity functionObject

·        Implement a parabolicVelocity fixedValue boundary condition

·        Implement a turbulence model

o    Complex mesh deformations in OpenFOAM : a custom boundary condition for prescribed mesh deformations , Andre Da Luz Moreira, Slides , Report , Files

o    Turbulence-chemistry interaction in OpenFOAM and how to implement a dynamic PaSR model for LES of turbulent combustion , Arvid Åkerblom, Slides , Report , Files

o    Free surface shape calculation using the interfaceTrackingFvMesh class and considering external pressure and fixed contact angles , Iason Tsiapkinis, Slides , Report , Files

o    Implementation of non-reflecting boundary conditions in OpenFOAM , Leandro Lucchese, Slides , Report , Files

o    Implementation of a Monodisperse Population Balance Model in laminar combustion model , Mo Adib, Slides , Report , Files

o    Implementation of a new heat transfer model in OpenFOAM for lagrangian particle tracking solvers for use in porous media , Örjan Fjällborg, Slides , Report , Files

o    Implementation of FGM model for premixed flames in OpenFOAM , Rafael Meier, Slides , Report , Files

o    Developing a solver to model the photopolymerization process , Roozbeh Salajeghe, Slides , Report , Code , Case

o    Description of interCondensatingEvaporatingFoam and implementation of SGS term into volume fraction equation , Yaquan Sun, Slides , Report , Code , Case

o    Explanation of dynamicRefineFVMesh for adaptive mesh refinement with an extension for independent bulk and interface mesh refinement for two phase simulations , Yatin Darbar, Slides , Report , Files

o    Implementation of growing CCM library to reduce chemistry calculation time , Yuchen Zhou, Slides , Report , Files

Proceedings 2021: (cite as: Proceedings of CFD with OpenSource Software, 2021, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2021 )

·        Lecture notes (see 2022 instead)

o    Implementation of a VoF solver with phase change for the simulation of internal cavitation and droplet breakup in injectors , Bjørn Christian Dueholm, Slides , Report , Code , Case

o    Implement a mesh-based particle model for the coalCombustionFoam for solving the biomass combustion , Boyao Wang, Slides , Report , Code , Case

o    Implementation of the FWH aero-acoustic analogy for sector analysis of an axi -symmetric turbomachine , Debarshee Ghosh, Slides , Report , Files

o    Implementation of scale-selective spatial discretization scheme in OpenFOAM , Ilya Morev, Slides , Report , Files

o    Investigating an alternative discretization of the gravitional force when simulating interfacial flows using the interIsoFoam solver , Kasper Møller, Slides , Report , Code , Cases

o    Spatial extension of the advection step of the geometric Volume Of Fluid algorithm isoAdvector , Konstantinos Missios, Slides , Report , Files

o    Implementing shear current theory into the waves2Foam toolbox , Koray Deniz Göral, Slides , Report , Files

o    Baseline for developing a general OpenFOAM solver for magnetohydrodynamic (MHD) flows , Lorenzo Melchiorri, Slides , Report , Code , Cases

o    A continuous forcing immersed boundary approach to solve the VARANS equations in a volumetric porous region , Marco Vergassola, Slides , Report , Files

o    Implementation of a wall boundary condition for the solid phase in a gas-particle flow in twoPhaseEulerFoam solver , Mohsen Zarepour, Slides , Report , Files

o    Non-isothermal fluid density stratification modelling with buoyancy modification based on varRhoTurbVOF , Pengxu Zou, Slides , Report , Files

o    Implementation of Analytical Jacobian and Chemical Explosive Mode Analysis (CEMA) in OpenFOAM , Mahmoud Gadalla, Slides , Report , Files

o    Implementing a new functionObject to improve solution field continuity after using mapFields in a dynamic mesh case , Frida Alenius, Slides , Report , Files

Proceedings 2020: (cite as: Proceedings of CFD with OpenSource Software, 2020, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2020 )

o    Syllabus

o    Initial preparations

o    OpenFOAM applications and case set-up

o    ParaFoam tutorial

o    Find solver and utility tutorials in the source code and learn how to use them

o    Some utility and functionObject tutorials

o    A quick look at the source code of applications

o    Source code and binary file directory organization, browsing, name conventions, and compilation of installation

o    User directory organization, and compilation as a user

o    High-level programming from scratch in OpenFOAM

o    The PISO algorithm in icoFoam

o    Components of icoFoam (using Doxygen )

o    Implement electromagnetic solver Case: rodFoamCase.tgz

o    Implement passive scalar transport solver

o    Implement solid particles in VOF solver

o    Basics of C++ and how it is used in OpenFOAM

o    Object orientation in C++ and OpenFOAM

o    Library and class organization in OpenFOAM

o    A walk through some OpenFOAM code: Vector

o    Debugging

o    Material that was not checked for the present OpenFOAM version, but still part of the course:

§   Implement a normalizedHelicity functionObject

§   Implement a parabolicVelocity fixedValue boundary condition

§   Implement a turbulence model

§   Debugging laplacianFoam /Flange TEqn.solve () function (or: Figure out the path taken by the code)

o    Block-coupled Finite Volume algorithms: A solids4Foam tutorial , Ali Shayegh , Slides , Report , Files

o    Implementing different drag models in a new OpenFOAM solver ( GeN -Foam) , Chirayu Batra, Slides , Report , Files

o    Implementation of quasi-2D magnetohydrodynamic mixed convection solver for incompressible flows in liquid metal channels , Eduardo Iraola de Acevedo, Slides , Report , Files

o    Combining a density-based compressible solver with a multiphase model , Eleanor Harvey, Slides , Report , Files

o    Methods for wheel rotation modelling , Erik Josefsson, Slides , Report , Files

o    Implementation of an incompressible headLossPressure boundary condition , Jonathan Fahlbeck, Slides , Report , Files

o    Implementation of Saha-Abu-Ramadan-Li (SAL) cavitation model in OpenFOAM , Sai Darbha, Slides , Report , Files

Proceedings 2019: (cite as: Proceedings of CFD with OpenSource Software, 2019, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2019 )

o    Debugging laplacianFoam /Flange TEqn.solve () function (or: Figure out the path taken by the code)

o    Qt Creator as an IDE for OpenFOAM development (by a student in the course)

o    Implement a normalizedHelicity functionObject

o    Implement a parabolicVelocity fixedValue boundary condition

o    Implement a turbulence model

o    A NOx model tutorial , Nidal Doubiani , Slides , Report , Files , Movie

o    Topology Optimisation of Fluids Through the Continuous Adjoint Approach in OpenFOAM , Luis Fernando Garcia Rodriguez, Slides , Report

o    Focused Wave generation based on Linear NewWave Theory, using OpenFOAM and waves2Foam toolbox , Eirini Katsidoniotaki, Slides , Report

o    Description of matrix discretization with focus on the Gauss laplacian discretization operator and how to create a modified version , Jesper Roland Kjærgaard Qwist, Slides , Report , Files

o    Inlets, outlets, and post-processing for modelling open-channel flow with the volume of fluid method , Shannon Leakey, Slides , Report , Errata , Files

o    Combination of reactingFoam and chtMultiRegionFoam as a first step toward creating a multiRegionReactingFoam , suitable for solid/gas phase reactions , Seyed Morteza Mousavi, Slides , Report , Code , Case

o    Description of the overset mesh approach in ESI version of OpenFOAM , Petra Tisovská , Slides , Report , Files

o    Implementing the pimpleFoam to oscillating flow solver porousOsciPimpleFoam using volume-averaged kOmega turbulence model , Yanyan Zhai, Slides , Report , Code

o    Implementation of a two-equation soot model for sprayFoam , Min Zhang, Slides , Report , Code

o    Implementation of a mass flux term with thermodiffusion mass transport into the species transport equation in a compressible solver , Jose Lorenzo Alejandro Barba Pina, Slides , Report , Files

o    Modeling free surface thermal flow with relative motion of heat source and drop injector with respect to a liquid pool , Pradip Aryal, Slides , Report , Cases , Codes

o    Implementation of new boundaryconditions for external flow adjoint-based shape optimization , Roberto Mosca, Slides , Report , Code , Case

o    Description of the reacting flow solver FGMFoam , Michael Bertsch, Slides , Report , Files

o    Implementation of a secondary droplet breakup model in OpenFOAM , Constantin Sula, Slides , Report , Files

Disclaimer: This is a student project work, done as part of a course where OpenFOAM and some other OpenSource software are introduced to the students. Any reader should be aware that it might not be free of errors. Still, it might be useful for someone who would like learn some details similar to the ones presented in the report and in the accompanying files. The material has gone through a review process. The role of the reviewer is to go through the tutorial and make sure that it works, that it is possible to follow, and to some extent correct the writing. The reviewer has no responsibility for the contents .

Proceedings 2018: (cite as: Proceedings of CFD with OpenSource Software, 2018, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2018 )

·        Lecture notes at the link below

o    Implementation of Aeroacoustic Solver for weakly compressible flows , Anandh Ramesh Babu, Slides , Report , Files , Movie

o    Coupling OpenFOAM to Serpent2.0 , Ashkhen Nalbandyan, Slides , Report , Files

o    Implementation of library for acoustic sound pressure and spanwise correction , Aya Aihara, Slides , Report , Files

o    A detailed description of reactingTwoPhaseEulerFoam , focusing on the links between mass and heat transfer at the interface , Darren Cappelli, Slides , Report , Files , Movie , Movie

o    Incorporation of Greimann and Holly interparticle stress model to sedFoam , Federico Zabaleta, Slides , Report , Files

o    Modifying coalChemistryFoam for dense gas-solid simulation , Jingyuan Zhang, Slides , Report , Files

o    Implementing a Zwart-Gerber-Belamri cavitation model , Marcus Jansson, Slides , Report , classFiles , caseFiles

o    Improve sheet cavitation inception prediction by taking laminar separation into consideration , Muye Ge, Slides , Report , Code , Case , Movie

o    engineFoam tutorial with different flame wrinkling (Xi) model , Sandip Wadekar, Slides , Report (needs to be updated with study questions before passed)

o    Implementation of an air-entrainment model in interFoam , Silje Kreken Almeland , Slides , Report , Code , Case

o    A low-Mach number solver for variable density flows , William. A. Hay, Slides , Report , Code , Case

o    The implementation of a stochastic reactor ( StoR ) combustion model , Shijie Xu, Slides , Report , Codes , Cases

o    Coupling OpenFOAM and MBDyn with preCICE coupling tool , Mikko Folkesma , Slides , Report , Files , Movie

Disclaimer: This is a student project work, done as part of a course where OpenFOAM and some other OpenSource software are introduced to the students. Any reader should be aware that it might not be free of errors. Still, it might be useful for someone who would like learn some details similar to the ones presented in the report and in the accompanying files. The material has gone through a review process. The role of the reviewer is to go through the tutorial and make sure that it works, that it is possible to follow, and to some extent correct the writing. The reviewer has no responsibility for the contents.

The 2018 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2018

Proceedings 2017: (cite as: Proceedings of CFD with OpenSource Software, 2017, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2017 )

o    Description and validation of the rotorDiskSource class for propeller performance estimation , Alexandre Capitao Patrao, Slides , Report , Files

o    Adapting chtMultiRegionSimpleFoam to include the effects of a rotating frame of reference and heat source term , Bercelay Niebles Atencio, Slides , Report , Files , Files

o    Modifying buoyantPimpleFoam for the Simulation of Solid-Liquid Phase Change with Temperature-dependent Thermophysical Properties , Daniel Hummel, Slides , Report , Files , Files , Files , Files , Files

o    A tutorial to urban wind flow using OpenFOAM , David Segersson , Slides , Report , Files , Files

o    Solvers for Boussinesq shallow water equations , Dimitrios Koukounas , Slides , Report , Files

o    A description of isoAdvector - a numerical method for improved surface sharpness in two-phase flows , Elin Olsson, Slides , Report

o    An openFuelCell tutorial , Henrik Grimler , Slides , Report , Files

o    An opensource solver for wave-induced FSI problems , Luofeng Huang, Slides , Report , Files , Movie

o    Implementation of partially slip boundary conditions , Madhavan Vasudevan, Slides , Report , Files

o    Implementation of decay heat model as a submodel in lagrangian library for reactingParcelFoam solver , Manohar Kampili , Slides , Report , Files

o    Make a fish swim , Sahil Bhagat, Slides , Report , Files , Movie , Movie

o    Evoking existing function objects and creating new user-defined function objects for Post- Processing , Sankar Raju Narayanasamy, Slides , Report , Files

o    Implementation of cavitation models into the multiphaseEulerFoam solver , Surya Kaundinya Oruganti, Slides , Report , Files , Files , Files

o    A Two-equation SGS model tutorial , Yeru Shang, Slides , Report , Files , Files , Movie

The 2017 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2017

Proceedings 2016: (cite as: Proceedings of CFD with OpenSource Software, 2016, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2016 )

o    A hybrid slurry CFD model: Euler-Euler to Euler-Lagrange , Alasdair Mackenzie. Slides , Report , Files

o    Magnetic induction and electric potential solvers for incompressible MHD flows , Alessandro Tassone. Slides , Report , Files

o    Improvement of the VOF-LPT Solver for Bubbles , Ebrahim Ghahramani. Slides , Report , Files

o    Force based motion of a submerged object using immersed boundary method , Elias Siggeirsson . Slides , Report , Files

o    A Thorough Description Of How Wall Functions Are Implemented In OpenFOAM , Fangqing Liu. Slides , Report

o    A membraneFoam tutorial , Fynn Aschmoneit . Slides , Report , Files

o    Discrete multiphase modeling of electrostatic sprays , Ishaan Markale. Slides , Report , Files

o    Modification of Stochastic Model in Lagrangian Tracking Method , Jundi Xu. Slides , Report , Files

o    Couple waves2Foam with Self-Propulsion , Mahish Mohan. Slides , Report , Files , Movie , Movie

o    Acoustic streaming modeling , Milad Setareh. Slides , Report , Files

o    Implement interFoam as a fluid solver in the FSI package , Minghao Li. Slides , Report , Files

o    Implementation of HLLC-AUSM low-Mach scheme in a density-based compressible solver in FOAM-extend , Mohammad Hossein Arabnejad. Slides , Report , Files , Movie

o    Ship hull response in cylBumpInterIbFoam tutorial , Mohsen Irannezhad. Slides , Report , Files , Movie

o    A rigidBodyDynamics tutorial with demostrations , Navdeep Kumar. Slides , Report , Files

o    Description of reactingTwoPhaseEulerFoam solver with a focus on mass transfer modeling terms , Phanindra Prasad Thummala. Slides , Report , Files

o    A weakly coupled FSI approach for calculating sloshing induced stresses . Sampann Arora. Slides , Report , Files , Movie

o    Implementation of a Complete Wall Function for the Standard k-epsilon Turbulence Model in OpenFOAM 4.0 . Shengnan Liu. Slides , Report , Code , Case

o    Coupling 3D Simulations with 1D Simulations (The Water Hammer Effect) , Sudharsan Vasudevan. Slides , Report , Files

o    Conjugate heat transfer in OpenFOAM , Turo Välikangas . Slides , Report , Files

o    Tutorial of convective heat transfer in a vertical slot , Varun Venkatesh. Slides , Report , Files

o    Implementation of multiple time steps for the multi-physics solver based on chtMultiRegionFoam , Yuzhu Pearl Li. Slides , Report , Solvers , Tutorials

The 2016 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2016

Proceedings 2015: (cite as: Proceedings of CFD with OpenSource Software, 2015, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2015 )

o    Viscoelasticity and Constitutive Relations , Amith Balasubramanya . Slides , Report , Files

o    Modelling of chemical batch reactor , Rajukiran Antham . Slides , Report , Files

o    Coupled Level-Set with VOF interFoam , Sankar Menon (2014). Slides , Report , Files , Files , Files

o    How to make a dynamicMotionRefineFvMesh class , Bjarke Eltard-Larsen. Slides , Report , Files

o    Modeling high-pressure die casting: A tutorial , Sebastian Kohlstädt . Slides , Report , Files , Files_Salome , Files_snappyHexMesh . Youtube screencast

o    An ISAT-CK7 tutorial , Daniel Moell. Slides , Report , Files

o    Simplified flow around a propeller , Gonzalo Montero Villar. Slides , Report , Files

o    Implementation of 6-DoF on axialTurbine tutorial case , Barlev Nagawkar . Slides , Report , Files

o    Evaluate the use of cfMesh for the Francis-99 turbine , Jethro Nagawkar . Slides , Report , Files

o    Adaptive Mesh Refinement with a Moving Mesh using sprayDyMFoam , Andreas Nygren. Slides , Report , Files

o    Implementation of soot model for aachenBomb tutorial , Vignesh Pandian. Slides , Report , Files

o    Implementation of Turbulent Viscosity from EARSM for Two Equation Turbulence Model , Thejeshwar Sadananda. Slides , Report

o    Transient simulation of opening and closing guide vanes of a hydraulic turbine , Abhishek Saraf. Slides , Report , Files

o    Solving electric field using Maxwell’s equations and compressibleInterFoam solver , Josefine Svenungsson. Slides , Report

o    Modifying sixDoFRigidBodyMotion library to match eigenfrequency of a spring rod with vortex shedding due to air flow , Johannes Törnell . Slides , Report , Files

o    A tutorial of the sixDofRigidBodyMotion library with multiple bodies , Magnus Urquhart. Slides , Report , Files

o    Coupled motion of two floating objects , Minghao Wu. Slides , Report , Files

The 2015 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2015

Proceedings 2014: (cite as: Proceedings of CFD with OpenSource Software, 2014, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2014 )

o    PANS turbulence model implementation , Guglielmo Minelli. Slides , Report , Movie , Movie , Movie , Movie , Files

o    Simulation of turbulent channel flow over rippled bed with investigation of 4-way coupling for particles , Efstratios Fonias . Slides , Report , Movie , Movie , Files , Files , Files

o    A twophaseEulerFoam tutorial , Sandra Busch. Slides , Report

o    Non-Newtonian Models in OpenFOAM - Implementation of a non-Newtonian model , Naser Hamedi. Slides , Report , Files

o    Implementing Vortex Lattice representation of Propeller sections , Surya Kiran Peravali . Slides , Report , Movie , Movie , Movie , Files

o    Description and modification of subset mesh motion solver for simulation of flow through and around a moving porous media , Hao Chen. Slides , Report , Files , Files , Files

o    Improvement of Lagrangian approach for multiphase flow , Matteo Nobile. Slides , Report , Files , Files , Files

o    Description of an adjoint method for object optimization related to wind noise , Simon Lindberg. Slides , Report , Files , Files

o    Modeling of bed roughness using a geometry function and forcing terms in the momentum equations , Jonatan Margalit. Slides , Report , Files , Files

o    A tutorial on modification of the turboFvMesh class for flow-driven rotation , Erik Krane. Slides , Report , Files

o    Implementation of Transport Model into CavitatingFoam to simulate the Cavitation in Diesel Injector Nozzle , Baris Bicer. Slides , Report , Movie , Files , Files

o    A FSI tutorial on the axialTurbine tutorial case , Erik Karlsson. Slides , Report , Files

Here is a list of the rest of the student reports/tutorials that were presented, but have not been updated after a review.

·        EngineFoam : implementation of a different combustion model and the new Janaf thermo equations , Bartolucci Lorenzo. Slides , Report , Files

·        An introduction to twoPhaseEulerFoam with addition of an heat exchange model , Alessandro Manni. Slides , Report , Files

·        The implementation of interFoam solver as a flow model of the fsiFoam solver for strong fluid-structure interaction , Thomas Vyzikas . Slides , Report , Movie , Movie

The 2014 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2014

Proceedings 2013: (cite as: Proceedings of CFD with OpenSource Software, 2013, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2013 )

o    interPhaseChangeFoam tutorial and PANS turbulence model , Abolfazl Asnagi . Slides Report Files Movie

o    LPT for erosion modeling in OpenFOAM . Differences between solidParticle and kinematicParticle , and how to add erosion modeling , Alejandro Lopez. Slides Report Files

o    Implementation and run-time mesh refinement for the kOmegaSSTDES turbulence model when applied to airfoils , Daniel Lindblad. Slides Report Files

o    Descriptions of adjointShapeOptimizationFoam and how to implement new objective functions , Ulf Nilsson. Slides Report Files

o    interSettlingFoam , Pedram Ramin. Slides Report Files

o    A wave motion class , Ali Al Sam. Slides Report Files

o    Descriptions and comparisons of sprayFoam , reactingParcelFoam , and basicSprayCloud , basicReactingCloud , Salman Arshad. Slides Report Files

o    Description of ReactingParcelFilmFoam , Emil Ljungskog . Slides Report Files blockMeshDict.m4 Movies

o    Descriptions of porousSimpleFoam and adding the Brinkmann model to the porous models , Reza Gooya . Slides Report Files

o    Eulerian- Lagrangian modeling of cavitation , Boxiong Chen. Slides Report Case Code

o    Coupling of Dakota and OpenFOAM for automatic parameterized optimization , Adam Jareteg . Slides Report Files

o    Implementation of Elliptic Blending Reynolds Stress Model in OpenFoam , Ardalan Javadi. Report

The 2013 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2013

Proceedings 2012: (cite as: Proceedings of CFD with OpenSource Software, 2012, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2012 )

o    Implementation for lifting line propeller representation , Florian Vesting. Slides Report Files Movie1 Movie2

o    Implementation of solid body stress analysis in OpenFOAM , Tian Tang. Slides Report Files

o    Connecting OpenFOAM with Matlab , Johannes Palm. Slides Report Files

o    Combination of MRFsimpleFoam and conjugateHeatFoam , Hamed Jamshidi. Slides Report Code Case

o    Descriptions of viscosity models and temperature dependent viscosity model , Mostafa Payandeh . Slides Report Solver Class Case

o    Application of dynamic meshes to potentialFreeSurfaceFoam to solve for 6DOF floating body motions , Guilherme Moura Paredes. Slides Report Code Case

o    Implement the correlation-based gamma- Re_theta transition model , Ayyoob Zarmehri . Slides Report Code Case

o    Implementation of a turbulent inflow boundary condition for LES based on a vortex method , Nina Gall Jørgensen. Slides Report Code Case

o    Generate a wake field using volume forces , Anonymous Student. Slides Report Code Case

o    Block-coupled calculations in OpenFOAM , Klas Jareteg . Slides Report Code Case

The 2012 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2012

Proceedings 2011: (cite as: Proceedings of CFD with OpenSource Software, 2011, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2011 )

o    A buoyantBoussinesqSurfactantFoam Tutorial - an Introduction to FAM , Sam Fredriksson. Slides Report Solver Case

o    A pimpleFoam tutorial for channel flow, with respect to different LES models , Olle Penttinen. Slides Report Case Movie

o    A interphaseChangeFoam tutorial , Martin Andersen. Slides Report Solver Case Movies

o    A simpleFoam tutorial (transitional turbulence modeling) , Hamidreza Abedi. Slides Report Files

o    Projection of a mesh on an stl surface , Christoffer Järpner . Slides Report Code Case

o    A boxTurb16 and dnsFoam tutorial , Martin de Mare. Slides Report Solver Case Movie

o    Impementation of a myinterFoamDiabatic solver with OpenFOAM , Qingming Liu. Slides Report Code Case

An additional tutorial, not peer-reviewed:

·        Making a reactingFOAM solver that calculates the radiative heat transfer , Sajjad Haider. Report Files

The 2011 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2011

Proceedings 2010: (cite as: Proceedings of CFD with OpenSource Software, 2010, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2010 )

o    Implementation of an actuator disk in OpenFOAM , Erik Svenning. Report , Slides , Files

o    Implementation of a multi-region solver for electrical welding , Alireza Javidi. Report , Slides , Files

o    Use the spline functionality in blockMesh to parameterize the shape of a windtunnel , and implement an optimization procedure using Python, PyFoam and m4 , Erwin Adi Hartono. Report , Slides , Files

o    Description and implementation of particle injection in OpenFOAM , Anton Persson. Report , Slides , Files

o    Dynamic mesh refinement in dieselFoam , Anne Kösters . Report , Slides , Files

o    Droplet collisions in dieselSpray and implementations of collisions in solidParticle , Josef Runsten. Report , Slides , Files

o    A tutorial of the premixed turbulent combustion solver ( XiFoam ) , Ehsan Yasari. Report , Slides , Files

o    Implement a mesh motion class for simulating the Vigor wave energy converter. This includes mesh motion and free surface flow , Mattias Olander. Report , Slides , Files

o    Set up a water sprinkler case for the interFoam solver. The water flow should be variable at the inlet, and some utilities/ functionObjects should be implemented for analyzing the distribution of the water in the domain , Martin Hammas . Report , Slides , Files

o    Dynamic mesh refinement, based on solution error , Anton Berce. Report , Slides , Files

o    Tutorial of the interTrackFoam solver , Anders Rynell. Report , Slides , Files

o    Tutorial of the solver, based on damBreak4phase , Patrik Andersson. Report , Slides

o    Tutorial of the solver shallowWaterFoam , Johan Pilqvist . Report , Slides

o    Patch deformation of a divergent-convergent nozzle , Daniel Grönberg . Report , Slides , Files , Movie

o    Implement a new inlet boundary condition that subdivides the inlet into many jets. Also, describe, use, and possibly modify the advective outlet boundary condition , Mohammad Irannezhad. Report , Slides , Files

o    conjugateHeatFoam with explanational tutorial together with a buoyancy driven flow tutorial and a convective conductive tutorial , Johan Magnusson. Report , Slides , Files

The 2010 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2010

Proceedings 2009: (cite as: Proceedings of CFD with OpenSource Software, 2009, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2009 )

o    Mesh motion alternatives , Andreu Oliver Gonzalez. Report , Presentation , Files

o    Tutorial on implementing real gasoline property in liquids library , Chen Huang. Report , Presentation , Files

o    Radiation heat transfer in OpenFoam , Alexey Vdovin. Report , Presentation , Files

o    Lagrangian Particle Tracking , Jelena Andric. Report , Presentation , solidCylinderFoam , solidCylinder , Box

o    A modified version of the reactingFoam tutorial , Piero Iudiciani . Report , Presentation , Case , Files

o    Weakly coupled fluid-structure interaction , Karl Jacob Maus. Report , Presentation , Code , Cases

o    Snowdrift development using mesh deformation approach , Jan Potac . Report , Presentation , Files

o    Adding electric conduction and Joule heating to chtMultiRegionFoam , Niklas Järvstråt . Report , Presentation , Files

o    Forced Roll Motion of a 2D Box and Interaction with Free-Surface , Arash Eslamdoost. Report , Presentation , Files , Movie , Movie , Movie

o    Descriptions and modifications of icoLagrangianFoam , Aurelia Vallier. Report , Presentation , Files

The 2009 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2009

Proceedings 2008: (cite as: Proceedings of CFD with OpenSource Software, 2008, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2008 )

o    Introduction to dieselFoam and reacting flows , Per Carlsson. Report , Presentation , Movie

o    Introduction to ODE solvers and their application in OpenFOAM , Zongyuan Gu. Report , Presentation , Utility

o    A modification of the movingConeTopoFvMesh library , Erik Bjerklund . Report , Presentation , Library , Case , Movie

o    OpenFOAM's basic solvers for linear systems of equations Solvers, preconditioners, smoothers , Tim Behrens. Report , Presentation

o    Point-wise deformation of mesh patches (note that the div( phi,U ) scheme is linear, which causes free-stream oscillations. Try Gauss linearUpwind Gauss .) , Eysteinn Helgason. Report , Presentation , Case and Source Files , Movie

o    A twoPhaseEulerFoam tutorial , Praveen Prabhu Baila. Report , Presentation

o    Porous Media in OpenFOAM , Haukur Elvar Hafsteinsson. Report ( Errata ), Presentation , Case and source files

o    6-DOF VOF-solver without Damping in OpenFOAM , Erik Ekedahl . Report , Presentation , kubmesh.tar.gz , kubtest.tar.gz , my6DOFFoam.tar.gz

o    Modeling Free Surface Flow using multiphaseInterFoam , Annika Gram. Report , Presentation , Case

o    Tutorial for Natural Convection Boundary Layer , Abolfazl Shiri. Report , Slides , Coarse Case , Fine Case

o    Solve Cavitating flow around a 2D hydrofoil using a user modified version of interPhaseChangeFoam , NaiXian LU. Report , Presentation , Case , Source Files , Movie

The 2008 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2008

Proceedings 2007: (cite as: Proceedings of CFD with OpenSource Software, 2007, Edited by Nilsson H. http://dx.doi.org/10.17196/OS_CFD#YEAR_2007 )

o    A tutorial on how to use Dynamic Mesh solver IcoDyMFoam , Pirooz Moradnia . Report , Presentation , Case

o    Implementing third order compressible flow solver for hexahedral meshes in OpenFoam , Martin Olausson. Report , g3dFoam.tar , shockTube.tar

o    icoStructFoam , a Fluid-Structure Interaction Solver , Philip Evegren . Report , Presentation , IcoStructFoam_Rev561.tgz (From openfoam -extend at SourceForge , Revision 561: /trunk/Breeder/solvers/other/ IcoStructFoam )

o    Different ways to treat rotating geometries , Olivier Petit. Report

o    reactingFoam tutorial (simple gas phase reaction) , Andreas Lundström. Report , Test case

o    Free surface tutorial using interFoam and rasInterFoam , Hassan Hemida . Report , Test case , Movie

o    Large Eddy Simulation of a Tilt-rotor wing with Active Flow Control , Mohammad El-Alti. Report , Test case

o    The buoyantFoam solver , Margarita Sass- Tisovskaya . Report , Slides , Test case

The 2007 course material can be found at http://www.tfd.chalmers.se/~hani/kurser/OS_CFD_2007

Invited speakers

·        Coupling of VOF-Based Solver with LPT for Simulation of Cavitating Flows, by Ebrahim Ghahramani. Slides , Code , Case

·         Implementation of HLLC-AUSM low-Mach scheme in a density-based compressible solver in FOAM-extend, by Mohammad Hossein Arabnejad Khanouki. Slides , Code

·        Harmonic Balance in FOAM-extend, by Gregor Cvijetic . Material not available until published in journal papers.

·        Klas Jareteg – Coupled solvers etc. Files

·        Isabelle Choquet – The thermoPhysical library files case

·        Hrvoje Jasak – Discretization best practice , immersed boundary

·        Klas Jareteg – Coupled solvers etc.

·        Huadong Yao – Fluid-structure interaction Files

·        Isabelle Choquet – Thermophysical properties (updated, but some remaining comments to be further updated) Ar_Data_thermalConduct.tgz blockThermoFoamCase.tgz density_Ar_Data.tgz enthalpy_Data.tgz heatCapacitiCp_DATA.tgz

·        SnappyHexMesh , m4 and Python scripting ( files ), by Olivier Petit

·        Coupled solvers etc. , Code Case , by Klas Jareteg

·        Extension of the solidParticle and solidParticleCloud classes (OF16ext) , Files , by Jelena Andric

·        LPT and VOF with OpenFOAM , by Aurelia Vallier, slides , files , final code and case

·        Advanced mesh generation and OpenFOAM usage, by Olivier Petit, turbomachinery , mesh generation , files

·        Advanced OpenFOAM-1.5-dev usage, taught by Olivier Petit: Mesh generation with m4/ blockMesh , snappyHexMesh , and converters OpenFOAM for Turbomachinery applications ( files )

·        Advanced OpenFOAM usage, taught by Olivier Petit Mesh generation ( snappyHexMesh etc.), MRFSimpleFoam , GGI... Mesh generation Case descriptions Files

·        Tommaso Lucchini (Guest from Politechnico di Milano)

·        Federico Piscaglia (Guest from Politechnico di Milano)

·        A description of how to do Conjugate Heat Transfer in OpenFOAM (by Pirooz Moradnia )

·        Electromagnetics of an electric rod and surrounding air (By Margarita Sass- Tisovskaya )

o    The rodFoam solver

o    The rodFoamCase case

·        Introduction to snappyHexMesh (By Olivier Petit)

o    iglooWithFridges (From $FOAM_TUTORIALS/ snappyHexMesh )

o    A disc case

·        Rasmus Hemph : Slides , plotElbow.py

·        Fabian Peng Kärrholm: Slides , Summary

·        Martin Beaudoin: Slides , Examples

Computational Fluid Dynamics

Researchers in this field use numerical analysis and data structures to solve and analyze problems resulting when liquids and gasses flow over surfaces.

Research Area Faculty

The faculty researchers in this area exemplify the collaborative nature of the work done at Cornell Engineering.

John D. Albertson

Jonathan T. Butcher

Lance Collins

Edwin (Todd) Cowen

Ashim Datta

Pete J. Diamessis

David Erickson

Mahdi Esmaily Moghadam

Sarah Hormozi

David Lee Hysell

Perrine Pepiot

Sadaf Sobhani

Lenan Zhang

Research groups.

• albertsonlab.cee.cornell.edu
• Cornell-Cantabria Exchange Program
• Datta Research Group
• Environmental CFD Group
• Erickson Lab
• Esmaily Lab
• http://pepiot.mae.cornell.edu
• Jicamarca Radio Observatory
• Research Gate Archive of Cowen's Publications
• Sobhani Lab
• The Hormozi Laboratory
• Upper Atmospheric Research

Computational Fluid Dynamics Lab

University of California, Berkeley

Available Positions

Prospective graduate students.

Currently, we have openings and funding in our research group to support new students who wish to pursue a PhD.

We encourage you to apply to the University of California at Berkeley and to the Computational Fluid Dynamics Laboratory. You may apply for graduate admission to either the UC Berkeley Department of Mechanical Engineering or the UC Berkeley Graduate Program in Applied Science and Technology. Be sure to note in the online application that you want to work in fluids and in computation. Also check the PhD box (not the Masters Degree box) on the application. To ensure that your application is directed to our Laboratory, please list Professor Philip Marcus as the faculty member with whom you would like to work.

At the present time, our research group uses computational methods to study:

• Internal and inertial gravity waves (in oceans and atmospheres)
• Planet formation
• Star formation
• Long-term climate cycles on Jupiter
• Dynamics of the atmosphere of Saturn
• Water desalination
• Artificial photosynthesis
• Turbulence, waves, and vortices in rotating, stratified flows in the lab, ocean, atmosphere, and astrophysical settings
• Bayesian optimization
• Shape optimization using design by morphing
• Equatorial thermal wind equation
• Spectral methods for flow simulations
• Convolution Neural Networks (CNNs) for physics constrained PDEs
• Vortex dynamics for aero-/hydro-/astrophysics

In writing the essays for your graduate application, please be very specific in specifying what areas of research you wish to pursue and why.

Other Positions

Undergraduate research positions (paid positions for the summer of 2013 and unpaid research positions for upper division Berkeley 199-level courses) for current UC Berkeley undergraduates are available. Send your CV to Professor Marcus at his email address on the homepage with “Intern” in the title. At the current time, we have no available positions for non-Berkeley students.

At the current time, we have no positions for postdoctoral applicants unless they have their own funding. However, qualified applicants are encouraged to apply for  Miller Research Fellowships .

Oxford Thermofluids Institute

Oxford Thermofluids Institute | Research - Research Groups: CFD Group, CFD Method Development

CFD Method Development

Unstructured and multi-block structured mesh solvers, multigrid upwind navier-stokes solver on adaptive unstructured meshes.

An unstructured flow solver with adaptive mesh refinement and multigrid acceleration is developed (Zheng and He 2001) to efficiently compute two-dimensional inviscid and viscous steady flows about complex configurations. High resolution is achieved by using a 2nd order upwind scheme coupled with adaptive mesh refinement. An aspect-ratio adaptive multigrid method originally developed for relaxing the time step restriction in unsteady flow computations on structured meshes (He 1993) is implemented to effectively accelerate the solution convergence of the explicit time-marching in the near wall regions with high aspect mesh ratios. The following numerical examples illustrate the capabilities of the adaptive refinement for capturing high gradient regions with shock waves for a transonic airfoil, and wake and large scale separation for low pressure turbine cascade at large negative incidence.

Fig 2. Computation of Turbulent Flow around Low-Pressure Turbine Blades (large scale flow separation on pressure surface under a negative incidence)

Multi-Block Structured Mesh Solutions of the Navier-Stokes Equations

A multi-block solver has been developed (He, 1996), aimed at taking advantages of both the flexibility of the unstructured mesh in local refinement and he simplicity and efficiency of direct structured mesh. The example of the multi-block mesh for the low-pressure turbine cascade is shown below.

Fig 3. Flow around Low Pressure Turbine Blades (multi-block solver)

Fourier modelling for nonlinear steady and unsteady aerodynamics

Fourier model of nonlinear flows.

The starting point of a Fourier modelling is the recognition that a nonlinear periodic flow distribution (the periodicity can be in time and/or in space) can be expressed by a temporal and/or spatial Fourier series. In many practical engineering situations, very good approximations can be obtained by truncated Fourier series with a very small number of low order harmonics.

Fourier ‘Shape Correction’ for Single–Passage Time-Marching Solution

The Fourier modelling approach to nonlinear flows was proposed in 1990 for time-marching solutions of unsteady turbomachinery flows (He 1990). This was the first Fourier method for turbomachinery. The objective at the time was to enable an unsteady flow solution to be carried out in a single blade passage domain but without requiring a large amount of computer meomory, as in the Erdos’s Direct Store method. The main ingredient is to carry out the temporal Fourier transform at the ‘periodic boundaries of the single blade passage domain. Then the Fourier harmonics (temporal shape) are used to correct the corresponding boundaries according to the phase shift periodicity. The method was then called ‘Shape Correction’. he validity of the single passage Shape-Correction method can be examined by comparing with the direct multi-passage solution. It was shown that the Fourier modelling as implemented in the Shape-Correction can capture flow disturbances and responses with large nonlinearity (e.g. a large scale shock oscillation in fan blade passage under an inlet distortion of long circumferential wave length, Fig.1 (Li and He 2001).

Given only 3-5 harmonics were required for capturing sufficiently accurately the temporal variation, the computer memory requirement is very low compared to the Erdos’s Direct Store approach. A key advantage of splitting flow components represented by Fourier harmonics is the ability in dealing with multiple disturbances with distinctive frequencies (He 1992). The generalised shape correction has been applied to unsteady flows in multi-rows (IGT-rotor-stator) with vibrating rotor blades for optimization of intra-row gap effects on both aerothermal performance and flutter stability, Fig.2 (Li and He 2005).

Fig.1 NASA rotor67 under inlet distortion (stagnation pressure contours)

Pressure contours of IGV-Rotor-Stator Interaction

Time History of Force on Vibrating Rotor blade in IGV-rotor-stator configuration (SP-Single passage, MP-Multi-passage)

Nonlinear Harmonic Approach (frequency domain Fourier model)

A conventional frequency-domain time-linearised solution method offers a significant advantage in solution efficiency compared to the nonlinear time-domain method. The restriction is of course that the unsteady disturbances need to be small perturbations to a steady state with negligible effects on the base steady flow. Consequently with a given steady state, we only need to solve a time-independent harmonic equation for one harmonic unsteady disturbance. The solution to the complex number amplitude field for the amplitude and phase angle of the unsteadiness is equivalent to solving two steady flow fields. To relax the fundamental linear assumption while taking advantage of the high solution efficiency, a nonlinear harmonic method was proposed (Ning and He, 1998). Similarly to the time-domain Fourier model, the unsteadiness is represented by the Fourier series. But now each harmonic will be balanced (‘harmonic balancing’) respectively in the nonlinear flow equations. Consequently, for a Fourier series retaining N harmonics, we will have 2N equations for the complex harmonics. In addition, the time-averaged flow will now be different from the steady flow due to the added deterministic stresses. So in total we have 2N+1 steady-like flow equations, which are solved simultaneously to reflect the interactions between the unsteady harmonics and the time mean flows. The interactions among the harmonics are included in a more complete nonlinear harmonic formulation by Hall’s harmonic balance formulations.

The nonlinear harmonic approach have been extended to effectively solve rotor-rotor/stator-stator interactions in multistage turbomachines (He et al 2002).

Recently efforts have been made to harness nonlinearity to stabilize the harmonic solution at highly loaded conditions with large scale flow separations (He, 2008).

Spatial Fourier Spectral Model for Non-Axisymmetric Flows

In many cases of practical interest, large scale steady and/or unsteady flow disturbances develop in large cylindrical domains (e.g. intake, exhaust ducts, rotor disk cavities). The circumferential domain truncation similar to the single-passage method is difficult without a known circumferential wave length. Thus, a computational domain to cover the whole 360° circumference would be necessary.

In these cases with a large circumferential domain, a circumferential Fourier spectrum can be introduced to achieve an efficient solution. The model can be quite simply implemented in an existing time-marching solver, and the validity has been demonstrated for an intake duct case subject to a cross-wind, and a case of acoustic pressure wave corresponding to fan tone noise propagated in a distorted duct (He, 2005, 2006).

Recently the spatial Fourier model has been applied to analysis of self-excited coherent unsteady flows and convective heat-transfer in rotating disk cavities.

Circumferential flow Angle (exit plane from an intake duct, subject to 10 cross wind)

Multi-scale Method (Block-Spectral Model)

For many problems in aerospace and power generation industries, there are very different length scales. The fine (micro) scale features of a huge number of geometrically largely similar regions collectively interact with globally large (macro) scale phenomena. Examples include flows through porous medium, effusion film-cooling through many holes of a tiny size, acoustical liners for duct noise reduction, and surface mini-scale treatment for flow control (e.g. dimples etc). The traditional treatment of this kind of problems would be to use empirically based models to count for the effects of the small scale features and to solve an up-scaled problem on a coarse mesh. The generality of the solutions following this kind of approaches are of course limited by the very empirical nature of these fine-scale models.

Here we are interested in developing a new multi-scale methodology, called ‘Block-Spectral Method’. The main intended attribute of the new approach is that the same numerical discretization scheme and integration method are used for both the coarse (macro) and fine (micro) scales, so that the numerical resolution is consistently and completely dictated by the mesh scales. A blocking of the fine resolution domain is introduced to facilitate the two basic but competing requirements:

• high resolution for fine scale flow features
• avoidance of having to have fine meshes for a large domain.

The block spectral approach can be simply illustrated by comparing a direct solution and a block spectral solution, as shown in Fig.1. The method has been shown to lead to a significant gain in solving micro-scale problems (up to 102 reduction of degrees of freedom). An important perspective is that the methodology would enable to resolve the kind of the micro-scale problems currently intractable.

Dimpled Surface

Unsteady Effusion Cooling (~1000 micro holes)

Intake Duct with Acoustical Liner (micro cavities)

University of Rochester

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Department of Chemical Engineering

Computational fluid dynamics.

Computational Fluid Dynamics (CFD) is the application of numerical methods to create simulations of systems of interest in many areas of engineering. The general mathematical approach is to discretize the governing equations of fluid flow using finite volume methods to solve the equations of motion numerically via iterative procedures. The discipline exists at the intersection of fluid mechanics, mathematics and computer science. As computer systems have evolved and become more capable, the opportunities to use CFD to simulate complex processes have become more useful, accepted and available. CFD is currently used in many industries to simulate complex processes for understanding and process development. It also enables simulations in design spaces that are either impractical or dangerous to perform physically. CFD is an established technique in many industries and is now being used in medical, environmental and energy systems. It is common to combine other processes such as heat transfer, particle size distribution and electrochemistry with the CFD code to expand what can be learned. CFD also enables the study of complex biological systems in vitro without harming the patient. Researchers at the University of Rochester are fortunate to have access to the state-of-the-art computational resources provided through the University’s Center for Integrated Research Computing , to enable complex CFD calculations.

Active Faculty / Research Areas

D. G. Foster: Fluid Mechanics; Computational Fluid Dynamics; Rheology of Non-Newtonian Fluids; Biological Transport Phenomena

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Computational Fluid Dynamics

Computational Fluid Dynamics (CFD) is an interdisciplinary branch of science which has a broad spectrum of applications. Fluid flows are present almost in every aspect of our life and are of paramount importance across a number of areas - aviation, space, automotive, chemical and process industries, atmospheric sciences, energy, medicine, and micro and nanotechnology.

There has been considerable growth in the development and application of computational modelling of fluid flows, transforming CFD as a standard modelling tool widely utilised within the industrial environment. A recent survey projected that the global market for CFD is projected to grow at 16.5% per year due to increasing computational power and integration of CFD into the design process. Our CFD experts are currently applying their knowledge to areas including:

Thermal Management  – how to increase efficiency and reliability or reduce cost through a better understanding of heat dissipation.

Morphing Wings  – how aircraft wings can adapt during flight so that less energy is consumed, flow separation decreases and the lift to drag ratio increases.

Turbulent Mixing  – reducing the uncertainty of scenarios when the energy in turbulent flows accelerates homogenisation. 

Carbon Capture  – experimental carbon capture through novel nanomaterials.

Aerodynamic Optimisation  – including multi-disciplinary design optimisation of structures and materials.

Vortex Formation  – for example to look at lifting force and aerodynamic drag.

Microfluidic Sensors  – development of sensors which are able to measure fluid concentration levels such as for detection of bio-hazards.

Predicting Explosive Blast Loading  – predicting the forces exerted on a building by the blast wave from a terrorist bomb to help improve the survival of the building and its occupants.

About our research

Our greatest strength is the ability to combine the academic rigour and long-term perspective of a university with the commercial and business focus of industry. Our excellence in strategic and applied research has enabled us to make significant contributions to the world around us for over 60 years. We address real life challenges and focus on research that is of strategic and practical importance. We provide a supportive research community for students and our academic work is regularly published in journal article, book or thesis form.

Working with us

We specialise in both fundamental and applied research using theory, advanced modelling and simulation in conjunction with large-scale parallel computing. We are able to undertake computational studies which can provide analysis and intelligence for decision making quicker than developing costly prototypes and with greater accuracy. We can work with businesses on feasibility and optimisation studies by developing advanced numerical methods and algorithms for different flows including compressible and incompressible. Our expertise is broad and is capable of providing more sophisticated intelligence than traditional commercial software packages. The range of techniques we can apply include: • Large Eddy simulations • High-order and high-resolution schemes • Direct numerical simulations • Reynolds-averaged Navier-Stokes • Structure and Unstructured solvers • Detached Eddy simulations.

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Computational Fluid Dynamics MSc

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Professor Karl Jenkins

Professor of Computational Engineering and Head of Centre for Computational Engineering Sciences

Dr Panagiotis Tsoutsanis

Reader in Computational Fluid Dynamics & Head of Advanced Numerical Methods Group

Dr Laszlo Konozsy

Reader (Associate Professor) in Fluid Mechanics and Computational Engineering

Dr Zeeshan Rana

Senior Lecturer in Aerodynamics

Dr Tom-Robin Teschner

Lecturer in Computational Fluid Dynamics

Principal Investigator

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In the computational and data-driven fluid dynamics group, we investigate a broad range of flow phenomena using numerical simulations. Data and numerical experiments provide key insights into turbulence, instabilities, sources of sound, shock dynamics, and interactions with a disperse phase such as cavitation bubbles or droplets. In addition, we develop and utilize reduced-order models, data assimilation, and control theory in order to predict, manipulate, and optimize flow structure. Current application areas include unsteady and bio-inspired aerodynamics, flow-energy harvesting, and jet noise.

We are also interested in the application of fluid dynamics, particularly ultrasound, shock waves, and cavitation in medical devices and therapies. Applications include lithotripsy, histotripsy, and drug delivery.

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PhD Studentship: Development of advanced CFD tools for offshore renewable energy applications

Project summary This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both Home and Overseas students. Please note that only Home fees will be covered

PhD Studentship: CFD modelling of seals for high-pressure, low-carbon storage technologies

? Join the Department of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a PhD focused on the computational modelling of mechanical seals funded by John Crane Ltd

PhD Studentship: High-fidelity CFD and Data-driven Modelling of Aerodynamic Noise Sources

Applications are invited for one funded 3.5-year PhD studentship for the project titled “High-fidelity CFD and data-driven modelling of aerodynamic noise sources” in the research group of Dr Zhong

PhD in Computational Fluid Dynamics ( CFD ) - Modelling Gas-droplet Interaction and Dispersion for Decontamination Applications

Are you interested in pursuing a PhD in Computational Fluid Dynamics ( CFD ) at the University of Edinburgh? We are currently looking to recruit a talented, hardworking, and passionate PhD student

PhD Studentship: CFD and Data-driven Modelling for Accurate Force and Acoustic Predictions

paramount significance. The novel “Immersed Large Eddy Simulation” (ILES) approach developed will include two main parts: the combination of IB into a CFD solver with a dynamically adaptive grid, and a deep

PhD student in Energy and Environmental Engineering with a focus on Computational fluid dynamics ( CFD ) for agrivoltaic systems

PhD student in energy and environmental engineering, you work within the research directions of Future Energy Center and across several research projects on agrivoltaic systems. In most of the research

studies which corresponds to four years. Position description As a PhD student in energy and environmental engineering, you work within the research directions of Future Energy Center and across several

PhD studentship - Optimizing Pulse-Jet Cleaning for Sustainable Energy: A CFD Approach to Emissions Control

PhD studentship - Optimizing Pulse-Jet Cleaning for Sustainable Energy: A CFD Approach to Emissions Control Award Summary 100% fees (Home & international), a minimum tax-free annual living allowance

PhD Studentship - Optimizing Pulse-Jet Cleaning for Sustainable Energy: A CFD Approach to Emissions Control

between Newcastle University and Durham Filtration offers a unique PhD research opportunity to advance pulse-jet cleaning systems for flue gas treatment emissions control in waste-to-energy and biomass

PhD Studentship: Rapid Production of Hollow Spheres using Coaxial Nozzles: Multiphase CFD

PhD Supervisor: Ivo Peters Supervisory Team: Ivo Peters, John Shrimpton Project description When a gas surrounded by a liquid film flows out of a coaxial nozzle, the stream can spontaneously deform

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Development of an Automated Volume Mesh Generation CFD Framework for Hypersonic Heat Flux Predictions

Speaker: Joel A. McQuaid, University of Maryland, College Park Time: May 30, 2024, 9:00 a.m. PDT

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Speaker: Joel A. McQuaid, University of Maryland, College Park May 30, 2024

Presentation

Seminar Slide Deck (PDF-XXMB)

The workflow of computational fluid dynamics (CFD) solvers traditionally involves a labor-intensive pre-processing stage, which includes case setup and mesh generation, followed by the solver phase and subsequent data post-processing. Particularly in hypersonic applications, mesh generation has predominantly been a manual and cumbersome process, significantly hindering the scalability of large-scale simulations. The time needed for mesh creation escalates with increasing geometric complexity, posing a substantial bottleneck. This research project has developed innovative numerical methods aimed at addressing these challenges to enhance the efficiency and feasibility of complex simulations. This work outlines the creation of the overset CHAMPS near body solver (NBS) and Cartesian-AMR solver framework, called the NBS-Cart solver, and is designed for automatic volume mesh generation. This new approach has been tested over a wide range of hypersonic heating scenarios and fluid-ablation interaction cases. It integrates a Cartesian grid solver with adaptive mesh refinement to effectively track off-body wake and shock structures, while the NBS component accurately captures strong boundary layer gradients. The efficacy of the Cartesian higher order shock-capturing scheme was validated for a canonical 2D hypersonic cylinder flow and a full 3D Mars Science Lander configuration. This testing confirmed the scheme's ability for efficient shock capture on non-aligned grids which is desirable for accurate NBS heat flux predictions within the coupled solver paradigm. Furthermore, the solver was integrated with the external KATS material response solver to simulate both steady-state and transient graphite ablation processes. The fluid-ablation coupling approach was validated against existing numerical models and arc-jet test data, showing excellent agreement in predicted surface heat fluxes, thermal responses within materials, and morphological changes resulting from thermo-chemical ablation processes. The final stage of this work focused on the development of low dissipation, higher-order numerical schemes that leverage the NBS structure targeting scale-resolved turbulence flow simulations. A key application involved simulating the Boundary Layer Transition (BOLT-II) flight vehicle at its Mach 6 descent condition. This simulation served as a cross-validation exercise against other CFD codes and existing flight data. The NBS demonstrates its proficiency in accurately capturing the dominant curved shock-induced vortices at the vehicle's leading edge, as well as the outboard cross-flow vortex structures. The heat flux predictions from the NBS aligns closely with published data, underscoring the effectiveness and robustness of the CHAMPS NBS-Cart solver in complex aero-thermodynamic conditions. This newly developed capability provides users with a fully-automated volume mesh generation CFD platform suitable for both low and high-enthalpy hypersonic flight environments. This advancement represents a significant stride towards enhancing CFD workflow automation, facilitating design and production-level simulations for real-world applications. This innovation not only streamlines processes but also increases the accuracy and reliability of simulations in complex aerodynamic scenarios.

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