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.
Active-Learning Combined with Topology Optimization for Top-Down Design of Multi-Component Systems
Lukas Krischer, Anand Vazhapilli Sureshbabu, Markus Zimmermann
Type:
Year:
2022
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author:
Series:
DESIGN
Institution:
Technical University of Munich, Germany
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1629-1638
DOI number:
ISSN:
2732-527X (Online)
Abstract:
In top-down design, optimal component requirements are difficult to derive, as the feasible components that satisfy these requirements are yet to be designed and hence unknown. Meta models that provide feasibility and mass estimates for component performance are used for optimal requirement decomposition in an existing approach. This paper (1) extends its applicability adapting it to varying design domains, and (2) increases its efficiency by active-learning. Applying it to the design of a robot arm produces a result that is 1% heavier than the reference obtained by monolithic optimization.
Keywords:
