2021-03-08 Introduction to ANSYS Fluid Dynamics on LRZ HPC Systems (hcfd1s21, cancelled)

Due to too low demand the course had to be cancelled.

Contents

The focus of this course with its 20 lectures and about 10 practical exercises is targeted on students, PhD's and researchers with good knowledge in the fundamentals of fluid mechanics and potentially with some first experience in Computational Fluid Dynamics (CFD). The course will focus on the introduction to the ANSYS Fluid Dynamics software packages, i.e. ANSYS CFX and ANSYS Fluent. Further, participants will be familiarized with the main steps of the typical CFD workflow, in particular with CFD preprocessing / CFD setup creation, serial and parallel solver execution and CFD postprocessing in both CFD solver systems CFX and Fluent. Correctness of boundary conditions and CFD setup specifications, solver convergence control, solver monitoring, customization capabilities of the solvers and the post­pro­cessing as well as recommended CFD best practices are covered.

The course further focusses on the usage of the ANSYS CFD software in a typical Linux cluster environment for massively parallel computations. This includes a basic Linux primer, introduction to LRZ HPC systems and network environment, intro to the use of the SLURM scheduler, CFD remote visualization and aspects of successful CFD simulation strategies in such an HPC environment. Finally some aspects of workflow automation using Python as scripting language are targeted as well.

All software components introduced in the ANSYS CFD Short Course are available at LRZ via the ANSYS Multiphysics Campus license.

Course participants are required to install ANSYS Release 2020.R1 on their own computers, accessing the ANSYS Academic Teaching licenses provided by LRZ in the MWN network. Alternatively the ANSYS Free Students Edition 2020.R1 can be used by participants for preparational steps on their own computers at home, if the participant is not a member of either TUM, LMU or HM.

The course combines lectures and hands-on sessions.

What participants will not learn in this course?

• Advanced aspects of Linux and computer network infrastructure
• Geometry creation (CAD, SpaceClaim, DM) and meshing (ANSYS Meshing, ICEM/CFD)
• Advanced topics of CFD simulation, like e.g. acoustics, Eulerian and Lagrangian multiphase flows, combustion, radiation, FSI, etc.
• Advanced topics of CFD solver customization with User FORTRAN or User Defined Functions (UDF’s) written in C language

Prerequisites

This course is addressed to young scientists, PHD students and under-graduate students (Master level) with so far limited to no experience with Computational Fluid Dynamics (CFD), but with the aim to use in future the High-Performance Computing (HPC) resources of the LRZ for their fluid mechanics oriented research. Basic knowledge of Linux and LRZ computer environment is a plus.

Hands-On

The CFD and HPC exercises will be done partially on participants own PC’s (Win-7 Professional or Win-10 Professional required) and on the Linux Clusters (CM2, CoolMUC-3) at LRZ. Files of the practical exercise sessions are made available to participants.

Content Level

The content level of the course is broken down as:

Language

English

Lecturers

Dr.-Ing. habil. Thomas Frank (LRZ), Dr. Nisarg Patel (LRZ)

Prices and Eligibility

The course is open for people from academia in Germany.

• Students without Diploma/Master at German universities: 50 EUR
• Students with Diploma/Master (PhD students) at German universities: 120 EUR
• Members of German universities and public research institutes: 120 EUR
• Others: not permitted to register due to legal ANSYS licensing regulations

Registration

Please register with your official e-mail address to prove your affiliation. Following your successful registration, you will receive an invoice approx. 2 weeks before the course. After paying the invoice, you will not receive a receipt. If you require proof of payment (e.g., for reimbursement) please use a copy of the invoice together with your bank statement indicating the payment.

Withdrawal Policy

See Withdrawal.

Legal Notices

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See Legal Notices.