Current CAE Trends in the Automotive Industry

This paper provides a compact review of the current Computer Aided Engineering (CAE) trends in the automotive industry from the perspective of Volkswagen Group research. CAE has established itself as an integral part of the vehicle engineering design process. Moreover, it provides the foundation for success in a very competitive market. In order to reduce costs and time to market, the number of physical prototypes needs to be reduced. This can only be accomplished through the systematic advancement of virtual methodologies that support the brands to evolve towards a 100% simulation-based prototype-free product development environment. Several relevant areas of vehicle development are considered. Starting with the issue of safety, the topics of finite-element human body modelling for occupant and pedestrian safety evaluation as well as structural vehicle crash simulations are discussed. Other topics such as the usage of computational fluid dynamics methods in the areas of vehicle aerodynamics and aeroacoustics are also considered. Finally, new areas of methods development are briefly discussed by showing novel applications of reduced order modelling and artificial intelligence methods including Big Data analysis. These methodologies will provide the basis for greatly accelerating solver speed and ensure the extraction of more information from simulation results.

• Record URL:
  https://doi.org/10.1007/978-3-030-37752-6
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030377519
• Supplemental Notes:
  • © Springer Nature Switzerland AG 2020.
• Corporate Authors:

  Springer Cham

  Gewerbestrasse 11
  Cham,   Germany 
• Authors:
  • Tsiolakis, Vasileios
  • Bensler, Henry P
• Publication Date: 2020-2

Language

• English

Media Info

• Media Type: Web
• Edition: 1st Edition
• Features: References;
• Pagination: pp 169-179
• Monograph Title: Computation and Big Data for Transport: Digital Innovations in Surface and Air Transport Systems
• Serial:
  • Computational Methods in Applied Sciences
  • Volume: 54
  • Publisher: Springer Cham
  • ISSN: 1871-3033
  • Serial URL: https://www.springer.com/series/6899

Subject/Index Terms

• TRT Terms: Artificial intelligence; Automotive engineering; Computer aided design; Fluid dynamics; Simulation
• Subject Areas: Data and Information Technology; Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01892591
• Record Type: Publication
• ISBN: 9783030377519
• Files: TRIS
• Created Date: Sep 11 2023 11:39AM