Application of genetic algorithm for the synthesis of path-generating compliant mechanisms

Research output: Contribution to journalResearch articleContributedpeer-review

Abstract

This study demonstrates a significant achievement in using the Genetic Algorithms technique to design compliant mechanisms capable of tracking a predetermined non-linear output path. The main objective of this research is to develop a computational optimization framework for generating mechanisms that satisfy the specified input requirements with the highest precision. The authors present a tool that incorporates a Python interface and ANSYS MAPDL software for modeling, solving, and optimizing compliant mechanisms. The optimization objective and algorithm are outlined, followed by a report of the results and recommendations for future research directions.

Details

Original languageEnglish
Article number015023
Number of pages9
JournalSmart materials and structures
Volume33 (2024)
Issue number1
Early online date15 Dec 2023
Publication statusPublished - Jan 2024
Peer-reviewedYes

External IDs

ORCID /0000-0003-2834-8933/work/149081497
ORCID /0000-0002-8854-7726/work/149081672
ORCID /0000-0002-5412-2324/work/149081999
Scopus 85180936774
unpaywall 10.1088/1361-665x/ad0b93
Mendeley 638f89dc-603e-3e92-98ea-e5bc7dcbbc02
WOS 001124322900001

Keywords

Keywords

  • genetic algorithm, compliant mechanisms, optimization