DESIGN 2022
The 17th INTERNATIONAL DESIGN CONFERENCE - May 23-26, 2022 - Hotel Croatia, Cavtat, CAVTAT - DUBROVNIK, Croatia
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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Machine Learning Based Simulation for Design Space Exploration
Oliver Bleisinger (1), Christian Malek (1), Stefan Holbach (2)
Type:
Year:
2022
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author:
Series:
DESIGN
Institution:
1: Fraunhofer IESE, Germany; 2: BorgWarner Turbo Systems Engineering GmbH, Germany
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1521-1530
DOI number:
ISSN:
2732-527X (Online)
Abstract:
Design of software in the automotive domain often involves simulation to allow early software parametrization. Modeling complex systems or components impacted by the software in an analytical way can be time-consuming, require domain knowledge and executing the analytical models can result in high computational effort. In specific applications, these challenges can be overcome by applying machine learning based simulation. This contribution presents results of a case study in which powertrain components are modeled data-driven with artificial neural networks to support design space exploration
Keywords:
