2nd Automotive CFD Prediction Workshop — Berlin 2021

Archive of the 2nd Automotive CFD Prediction Workshop held in Berlin and online in August 2021, including benchmark resources and presentations.

Past workshop — submissions closed. AutoCFD2 took place in August 2021. This page is retained as a permanent archive of its benchmark resources, agenda, presentations and videos.

Summary

The 2nd Automotive CFD Prediction Workshop was held on 26–27 August 2021 in a hybrid format, virtually and in Berlin, Germany. It was preceded by the Fourth International Conference in Numerical and Experimental Aerodynamics of Road Vehicles and Trains (AEROVEHICLES 4), and both the conference and workshop were held during the same week. Two test cases were studied: the Windsor body and the DrivAer Notchback (detailed underbody with no rolling road or rotating wheels). Meshes were created for all cases in major grid formats, including OpenFOAM, STAR-CCM+, Fluent and CGNS, in addition to geometry and surface meshes. Participants who submitted results were allocated a 15-minute presentation slot; those who wished to present relevant material, such as the wind-tunnel campaign of the DrivAer model, without computing the test cases were also able to speak.

Test cases

Case 1

Case 1 is the Windsor Body, which is a simplified vehicle-like shape in wind-tunnel conditions intended to capture important flow-field structures without the complex geometrical detail found in the second DrivAer case. The Windsor model, developed by Steve Windsor of Jaguar Land Rover, was modified to include a version with wheels. Further details are given in Pavia’s doctoral thesis and the PhD thesis of Varney. These two cases had extensive measurements taken at the Loughborough University wind tunnel at a Reynolds number of approximately 3 million (based on vehicle length). The full Windsor Body experimental aerodynamic dataset is available from Loughborough University’s research repository.

Two CAD definitions were provided for the with-wheels (1A) and without-wheels (1B) geometries. For each case, four standard meshes were provided in a range of grid formats: low-Re wall-resolved RANS (WRRANS), wall-modelled RANS (WMRANS), low-Re wall-resolved Eddy Resolving (WRER) and wall-modelled Eddy Resolving (WMER). For the WRER case, the high aspect ratio near the wall makes this suitable for DES and hybrid RANS-LES approaches, and it is not recommended for classic eddy-resolving LES. The post-processing instructions and example submission files are retained below.

Case 2

Case 2 is the notchback version of the open-cooling DrivAer. A detailed description of the AutoCFD2 DrivAer test case (version 6, 6 July 2021) and SAE Technical Paper 2021-01-0958 by Hupertz et al. provide further information. The workshop focused on a closed-cooling DrivAer configuration with static wheels and a static floor. A comprehensive set of experimental data from the Pininfarina Wind Tunnel (courtesy of Ford), including aerodynamic forces, surface pressure, velocity profiles and 2D flow-field measurements, was available for correlation with the CFD analyses presented at the workshop. The meshes retained below were created using ANSA by BETA-CAE Systems.

Documents

Test case 1 - Windsor body description
Test case 1 kick off presentation
Test case 1 submission instructions
Test case 1 example submission files/template
Test case 1 experimental data
Test Case 2 description
Test Case 2 submission template
Test Case 2 flowfield mapping in ANSA/Nastran format

Grids

Case 1a

Surface grids STL        
Low-Re RANS grid (WRRANS) CGNS OpenFOAM Fluent STAR-CCM+
High-Re RANS grid (WMRANS) CGNS OpenFOAM Fluent STAR-CCM+

Case 2

Case 2 Surface STL ANSA JT Nastran
Case 2 Volume (Wall-function) CGNS CFD++ Fluent OpenFOAM
Case 2 Volume (Low-Re grid) CGNS CFD++ Fluent OpenFOAM

Agenda

Download the final AutoCFD2 workshop agenda.

Presentations

Presentation resources
Workshop kick-off - Neil Ashton (AWS) Slides
Case 1 description and cross-plotting - Gary Page (Loughborough University) Slides Video-Part1 Video-Part2 Video-Part3 Video-Part4
Case 2 description and cross-plotting - Burkhard Hupertz (Ford Motor Company) Slides Video-Part1 Video-Part2 Video-Part3 Video-Part4
Case 2 meshes - Vangelis Skaperdas (BETA-CAE Systems) Slides Video
Statistical error quantification - Charles Mockett (Upstream CFD) Slides
Emmanuel Guilmineau - CNRS - Centrale Nantes Slides Video
Eugen Riegel - Numeric Systems GmbH Slides
Marian Zastawny - Siemens Digital Industries Software Slides Video
Olivier Thiry - Cadence Design Systems Slides
Hendrik Hetmann - Upstream CFD Slides Video
Francesco Fabio Semeraro - Politecnico di Milano Slides
Samuel Gomez - Barcelona Supercomputing Center Slides Video
Walid Hambli - Imperial College London Slides
Date Rentema - DAF Trucks Slides
Christian Taucher - ICON Technology and Process Consulting Ltd. Slides
Astrid Walle - Astrid Walle CFDsolutions Slides
Gary Page - Loughborough University Slides
Neil Lewington - Ford Motor Company Slides
Lian Duan - The Ohio State University Slides
Matthew Kronheimer - TotalSim US Slides
Michael Emory - Cascade Technologies, Inc. Slides Video
Paul Batten - Metacomp Technologies, Inc. Slides Video
Liang Yu - University of Sydney Slides
Arjun Yadav - Digital Solutions Inc. Slides Video
Shijun Chu - Tongji University Slides Video
Krishna Zore - ANSYS Slides
Kaushik Reddy Mallareddygari - SankhyaSutra Labs Ltd. Slides
Ondrej Cavoj - Skoda Auto + Brno University Slides
Neil Ashton - Amazon Web Services Slides Video

Organisers

  • Charles Mockett (Upstream CFD) - Local Organiser
  • Gary Page (Loughborough University)
  • Neil Ashton (Amazon Web Services / University of Oxford)
  • Burkhard Hupertz (Ford)
  • Lian Duan (Ohio State University)
  • Timo Kuthada (FKFS)
  • Simone Sebben (Chalmers University)
  • Charles Ribes (Stellantis)
  • Iraj Mortazavi (CNAM)
  • Vangelis Skaperdas (BETA-CAE Systems)
  • Martin Passmore (Loughborough University)
  • Adrian Gaylard (Jaguar Land Rover)
  • Fabian Rösler (Audi)
  • Marco Kiewat (Audi)
  • Astrid Walle (CFD Solutions)