A novel pumping magnetorheological damper: Design, optimization, and evaluation. (October 2017)
- Record Type:
- Journal Article
- Title:
- A novel pumping magnetorheological damper: Design, optimization, and evaluation. (October 2017)
- Main Title:
- A novel pumping magnetorheological damper: Design, optimization, and evaluation
- Authors:
- Zhang, Xinjie
Li, Zhihua
Guo, Konghui
Zheng, Fumiao
Wang, Zhong - Abstract:
- Magnetorheological damper has been widely used for improving vehicle ride comfort and handling because of its excellent performance. Numerous reinforced structures of magnetorheological dampers have been developed to enhance their dynamic performance and heat dissipation. This article presents a novel pumping magnetorheological damper with one-way pumping flow and dual-stage coil-in-cylinder magnetic system. Its dynamic model and inductive time constant are derived. Then, the structural parameters are optimized via a fast multi-objective genetic algorithm. Furthermore, a pumping magnetorheological damper prototype is tested and evaluated. The proposed pumping magnetorheological damper is able to perfectly balance the dynamic performance, heat dissipation efficiency, and structure flexibility via one-way pumping flow and coil-in-cylinder magnetic system, which has a promising application prospect in semi-active suspensions.
- Is Part Of:
- Journal of intelligent material systems and structures. Volume 28:Number 17(2017)
- Journal:
- Journal of intelligent material systems and structures
- Issue:
- Volume 28:Number 17(2017)
- Issue Display:
- Volume 28, Issue 17 (2017)
- Year:
- 2017
- Volume:
- 28
- Issue:
- 17
- Issue Sort Value:
- 2017-0028-0017-0000
- Page Start:
- 2339
- Page End:
- 2348
- Publication Date:
- 2017-10
- Subjects:
- Magnetorheological damper -- one-way pumping flow -- dynamic modeling -- optimization -- experiment
Smart materials -- Periodicals
Intelligent control systems -- Periodicals
Artificial intelligence -- Periodicals
Matériaux intelligents -- Périodiques
Commande intelligente -- Périodiques
Intelligence artificielle -- Périodiques
620.11 - Journal URLs:
- http://jim.sagepub.com/ ↗
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http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=1045-389x;screen=info;ECOIP ↗ - DOI:
- 10.1177/1045389X17689937 ↗
- Languages:
- English
- ISSNs:
- 1045-389X
- Deposit Type:
- Legaldeposit
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