Optimization Design of Drum Brake Stability with Mixed Model of Random and Interval Variables-Reference-Cited by-同舟云学术

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Optimization Design of Drum Brake Stability with Mixed Model of Random and Interval Variables

Published:2022-11-22 Issue: Volume: Page:
ISSN:2523-3920
Container-title:Journal of Vibration Engineering & Technologies
language:en
Short-container-title:J. Vib. Eng. Technol.

Author:

Wang Wenzhu,Li Jie^ORCID,Liu Gang,Zhang Zhenwei,Wei Jun,Cheng Mianhong,Gu Xu

Funder

General project of Liaoning Provincial Department of Education

Development Fund of State Key Laboratory for Automobile Simulation of Control

Provincial-University Co-Construction Project

Publisher

Springer Science and Business Media LLC

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Link

https://link.springer.com/content/pdf/10.1007/s42417-022-00777-5.pdf

Reference43 articles.

1. Stender M, Tiedemann M, Spieler D et al (2021) Deep learning for brake squeal: brake noise detection, characterization and prediction. Mech Syst Signal Pr 149:1–39

2. Chen F (2009) Automotive disk brake squeal: an overview. Int J Vehicle Des 51:39–72

3. Wang WZ, Li J, Liu G et al (2022) Robust design for reducing drum brake noise. Ieej T Electr Electr 17:1209–1206

4. Jung T, Hong Y, Park S et al (2018) Numerical study for brake squeal by machining patterns on frictional surface. Int J Auto Tech-KOR 19(2):281–289

5. Poletto JC, Neis PD, Ferreira NF et al (2017) An experimental analysis of the methods for brake squeal quantification. Appl Acoust 122:107–112

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