A digital-based design methodology for the optimization of high-performance multi-material structures

Research output: Contribution to journalConference articleContributedpeer-review

Contributors

Abstract

A central process in composite lightweight engineering is the design of different fibre-reinforced parts. Certain steps during the design process have the potential that the overall workload can significantly be reduced, by the use of modern software tools. This often means that a compromise between optimization and increasing development costs must be found in order to balance structural complexity, number of design iteration loops and subsequent changes in the requirements. We introduce a computer-driven automation process for a multi-domain, parameter-driven design optimization. The proposed concept was built around the idea that the methodology can be used with different software tools that are already in operation for the design process of lightweight structures and therefore allows an easy implementation into already existing development chains. The developed process was successfully demonstrated by designing high-speed glass fibre rotors with respect to their structural and dynamic performance. The results showed a significant decrease in time spending during the design phase with the benefit to quickly adapt the design to subsequent changes in the optimization goal. Additionally, a wider solution space can be taken into account, which increases the quality of the optimization results.

Details

Original languageEnglish
Article number12078
Number of pages8
JournalIOP Conference Series: Materials Science and Engineering
Volume1226
Issue number1
Publication statusPublished - 15 Feb 2022
Peer-reviewedYes

Conference

Title11th EASN International Conference on "Innovation in Aviation & Space to the Satisfaction of the European Citizens"
Abbreviated titleEASN 2021
Conference number11
Duration1 - 3 September 2021
Website
Degree of recognitionInternational event
Locationonline
CitySalerno
CountryItaly

External IDs

Mendeley 56b6ea92-f9d2-34c1-b159-ff24f90f84dc
ORCID /0000-0003-0311-1745/work/142241460

Keywords