Optimal design of an elastomeric engine mount with desired stiffness using topology optimization

Chih Hsing Liu, Yen Pin Chiang, Yi Yao Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This study presents a density based topology optimization method with prescribed input displacement boundary condition to design an elastomeric engine mount. The required stiffness values for the rubber mount have different requirements in two different loading directions. Various design analysis cases are performed to provide design guideline for investigating the effects of several design parameters on static stiffness of the elastomer mount. Simulation models are developed using the commercial finite element analysis program, LS-DYNA, to analyze the designs. One commercial elastomeric engine mount is selected as the validation example in this study. The analysis results show the simulated stiffness values agree well with experimental data. The design examples and results provided in this study can serve as the design reference for developing elastomer mounts with desired stiffness.

Original languageEnglish
Title of host publicationAIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1003-1008
Number of pages6
ISBN (Print)9781538618547
DOIs
Publication statusPublished - 2018 Aug 30
Event2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, New Zealand
Duration: 2018 Jul 92018 Jul 12

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2018-July

Other

Other2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
CountryNew Zealand
CityAuckland
Period18-07-0918-07-12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

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