DESIGN 2022
The 17th INTERNATIONAL DESIGN CONFERENCE - May 23-26, 2022 - Hotel Croatia, Cavtat, CAVTAT - DUBROVNIK, Croatia
Knowledge Base Repository
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.
An AI-Assisted Design Method for Topology Optimization without Pre-Optimized Training Data
Alex Halle, Lucio Flavio Campanile, Alexander Hasse
Type:
Year:
2022
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author:
Series:
DESIGN
Institution:
Chemnitz University of Technology, Germany
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1589-1598
DOI number:
ISSN:
2732-527X (Online)
Abstract:
Engineers widely use topology optimization during the initial process of product development to obtain a first possible geometry design. The state-of-the-art method is iterative calculation, which requires both time and computational power. This paper proposes an AI-assisted design method for topology optimization, which does not require any optimized data. The presented AI-assisted design procedure generates geometries that are similar to those of conventional topology optimizers, but require only a fraction of the computational effort.
Keywords:
