automotive CAE Grand Challenge 2019

automotive CAE Grand Challenge 2019

Hanau, April 2019
44 presentations, pdf download

In the last 30 years computer simulation has become an indispensable tool of automotive development. Tremendous progress in software and computer technology makes it possible today to assess product and process performance before physical prototypes have been built.

Challenges in virtual vehicle development

Despite of significant progress in simulation technology and impressive results in industrial application there remains a number of challenges.

Grand Challenge as a platform for dialog

The automotive CAE Grand Challenge stimulates the exchange between users, scientists and software developers in order to solve these challenges. Annually the current challenges in automotive CAE are being identified through a survey among simulation experts. In the conference one session is dedicated to each of the most critical challenges, the “Grand Challenges”.

 

Presentations

MULTI-SIMULATION: SIMULATING BATTERY AND ELECTRICAL ENGINE COOLING

  • Industry Requirements – Designing a Battery-Electric Powertrain needs Predictive CAE Models
    Mark Gevers - TECOSIM Technische Simulation GmbH
  • Determination of ageing effects of Li-Ion Batteries and implications for system design
    Claudius Jehle - Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI
  • Rapid Estimations of Conjugate Heat Transfer – From Simplistic CFD Models to GPU-Accelerated Lattice Boltzmann Kernels
    Dr. Wojciech Regulski, Bartosz Gorecki - QuickerSim
  • Holistic Simulation of Electrified Powertrains – Towards Closing Gaps between Different Approaches of Virtual Engineering
    Christian Kehrer - Altair Engineering GmbH
  • Maximizing Performance and Lifetime via Cooling Optimization of Battery HV-Path and E-Engine
    Dr. Bernhard Brunnsteiner, Dr. Daniele Suzzi - AVL LIST GmbH
  • Software-Based Optimization of E-Machine Spray Cooling Systems
    Ludwig Berger - CFD Schuck Ingenieurgesellschaft mbH

MATERIALS: MATERIAL AND FAILURE MODELS
FOR METALS

  • Material and Failure Models as a Prerequisite for a Robust Prediction of IIHS Small Overlap Impact Load Cases
    Christian Cremer, Dr. Robert Schilling - Ford-Werke GmbH, Köln
  • Modeling of Deformation and Damage Behavior of Extruded Aluminum Profiles
    Dr. Dong-Zhi Sun, Dr. Florence Andrieux - Fraunhofer-Institut für Werkstoffmechanik IWM
  • New Material Models and Failure Criteria in Altair RADIOSS
    Marian Bulla - Altair Engineering GmbH
  • Failure Prediction Based on Material Model MF GenYld+CrachFEM – Focus on Metals with Orthotropy of Necking and Fracture
    Dr.-Ing. Helmut Gese, Prof. Harry Dell, Matthias Reißner, Felix Brenner - MATFEM - Partnerschaft Dr. Gese & Oberhofer
  • Latest Developments in Plasticity, Damage and Failure Modelling for Metals in LS-DYNA
    Dr.-Ing. David Koch, Dr.-Ing. André Haufe, Dr. Filipe Andrade - DYNAmore GmbH - Gesellschaft für FEM Ingenieurdienstleistungen
  • VALIMAT – A Smart Solution for Generating and Managing Material Cards
    Tobias Schaffranek, Artur Fertschej - 4a engineering GmbH
  • Reducing testing activities for High-Strength Steel Material Characterization devoted to Crash related design
    Eduardo Martín - Applus IDIADA Group

SPECIALSESSION: VIRTUAL TESTING OF AUTONOMOUS DRIVING VEHICLES

  • Virtual Testing of Autonomous Driving – Industrial Requirements
    Dr.-Ing. Axel Hänschke - Ford-Werke GmbH, Dipl.-Ing Alexander F. Walser - Köln Automotive Simulation Center Stuttgart
  • Virtual Testing of Infrastructure Measures for Automated Road Transport
    Stefan Kirschbichler, Peter Wimmer - VIRTUAL VEHICLE Research Center
  • Simulation Driven Innovation for Autonomous Driving – From Sensor Analysis to Virtual Test Drive
    Dr. Markus Schick - Altair Engineering GmbH
  • Competing to Develop the best Autonomous Vehicles: Working together on Digital Development
    Aniruddha Reddy - IPG Automotive GmbH
  • Smart Testing of Autonomous Systems
    Dr. rer. nat. Michael Schlenkrich - MSC Software GmbH
  • Next steps in simulating advanced autonomous mobility
    Thomas Reimer - Dassault Systemes Deutschland GmbH


NVH: SOUND DESIGN FOR ELECTRIC VEHICLES

  • CAE in Sound Design for Electric Vehicles
    Dr.-Ing. Dirk Ulrich - carhs.training GmbH
  • Virtual and experimental methods for NVH optimization – Current activities at Fraunhofer LBF
    Jonathan Millitzer, Georg Stoll, Jan Hansmann, Heiko Atzrodt - Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF
  • Virtual Sound Design of Electric Powertrains Using MANATEE Software Combined with OROS NVH Acquisition Software
    Dr. Jean Le Besnerais, Karine Degrendele - EOMYS ENGINEERING
  • Optimization of Acoustic Warning Pedestrian Safety System Using Simulation
    Arnaud Caillet, Massimiliano Calloni, Oussama Fatmi, A. Castel - ESI Group
  • NVH Optimized Vehicle Structure via Methods of DoE for the Integration of HV-Battery and E-Engin
    Dr. Martin Schwab, Mehdi Mehrgou - AVL LIST GmbH
  • CAE Solutions To Overcome EV Sound Quality Barriers
    Eberhard Erb, Romain Baudson - Free Field Technologies FFT

CRASH: MODELING OF POINT CONNECTIONS FOR MULTI-MATERIALS

  • Modeling of Multi Material Joints in Crash Simulation: State of the Art, Risks, Conditions and Opportunities
    Tony Porsch, Dr. Carsten Brüggemann, Dr. Helge Liebertz - Volkswagen AG
  • Modelling of the Deformation and Failure Behavior of Point Connections in Multi-Materials for Crash Simulation
    Dr.-Ing. Silke Sommer, Lila Schuster, Philip Rochel, Philipp Bähr - Fraunhofer-Institut für Werkstoffmechanik IWM
  • Virtual Testing Methodology for Bolts
    Dr. Vicky Iliopoulou, Willian de Carvalho, Isabel Van de Weyenberg - Flanders Make
  • A Nonlocal Approach for Modeling Crack Initiation at Point Connections
    Dr. Thomas Heubrandtner, Stefan Kirschbichler - VIRTUAL VEHICLE Research Center et al.
  • Current Modeling Strategies for Point Connections in LS-DYNA
    Dr. Filipe Andrade, Dr. Tobias Graf, Dr.-Ing. André Haufe, Guido Pietsch - DYNAmore GmbH - Gesellschaft für FEM Ingenieurdienstleistungen
  • An Overview of Connector Modelling for Multi-Material Structures CAE in ESI Virtual Performance Solution
    Alexandre Dumon, Alain Tramecon, Dr.-Ing. Sebastian Müller, Jean-Christophe Allain - ESI Group, ESI Software GmbH

FATIGUE: INFLUENCE OF MANUFACTURING ON DURABILITY

  • Fatigue simulation on car body structures – current approach and future demands to consider the influence of manufacturing
    Dr.-Ing. Boris Künkler - Opel Automobile GmbH
  • Fatigue Analysis of Additive Manufactured Components
    Prof. Dr.-Ing. Udo Jung - Technische Hochschule Mittelhessen
  • Integration of Manufacturing Process Simulations in the Design Loop
    Prof. Dr.-Ing. Axel Schumacher - University of Wuppertal
  • Challenges in the Fatigue Strength Analysis of Additively Manufactured Metallic Components based on Finite-Element Simulations
    Kai Schnabel, Dr.-Ing. Jörg Baumgartner, Matilde Scurria - Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF
  • Efficient Subsequent Chaining of Manufacturing Steps Like Stamping and Welding for Further Durability Assessment
    Dr. Oliver Goy - ESI Engineering System International GmbH; Willem van Hal, Yannick Vincent - ESI Group
  • We Close the Simulation Chain from Production to Service Cycle
    Klaus Hofwimmer, Wolfgang Hübsch, Axel Werkhausen - Magna Powertrain ECS Steyr GmbH & Co. KG


CAE GENERAL: AI PROCESS AUTOMATION AND QUALITY ASSURANCE

  • Practical Challenges on the Battlefield of CAE Machine Learning
    Constantin Diez - LASSO Ingenieurgesellschaft mbH
  • Virtual Product Development assisted by Machine Learning
    Prof. Dr. Jochen Garcke, Dr. Rodrigo Iza-Teran - Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
  • AI Applications for Crash Simulation Results
    Dr. Lennart Jansen, Clemens-August Thole, Dominik Borsotto - SIDACT GmbH
  • Empowering the Application of Machine Learning Techniques through Simulation Data Management
    Marko Thiele - SCALE GmbH; Akhil Pillai - TU Dresden; Prof. Dr.-Ing. habil. Uwe Reuter - Technische Universität Dresden
  • Machine Learning of Crash Events Based on FEM Simulations
    Dr. André Backes - TECOSIM Technische Simulation GmbH
  • Applications for AI-Based Geometry Understanding
    Dr. Stefan Suwelack, Steffen Slavetinsky - Renumics GmbH
  • Machine Learning application to Rapid/Batch CAE Meshing of large complex parts
    Prakash „Krish“ Krishnaswamy - Xitadel Group; Umesh Mallikarjunaiah - Xitadel CAE Technologies India Pvt. Ltd.
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