Optimization design of drum brake stability based on Kriging surrogate model

PDF(1235 KB)

Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (11) : 134-138.

WANG Wenzhu1,2, LI Jie2, LIU Gang1, WEI Jun3, ZHANG Zhenwei2, CHENG Mianhong1

Author information +

History +

Abstract

Aiming at the brake noise problem of drum brake, Kriging surrogate model was introduced to do optimization design for the stability of drum brake.The optimal Latin hypercube design (Opt LHD) was used to generate sample point data, they were substituted into the finite element model of drum brake to generate the surrogate model, and the model accuracy test was done.Taking Young moduli of friction lining, brake drum and brake shoe as design variables and weighted instability tendency coefficient as the objective function, the mathematical model for drum brake stability optimization design was established.The multi-island genetic algorithm (MIGA) was adopted to do optimization design.The results showed that introducing surrogate model can greatly improve the solving efficiency of drum brake stability optimization; optimization design can improve the stability of drum brake and suppress braking noise.

Key words

drum brake / stability / Kriging surrogate model / multi-island genetic algorithm (MIGA) / optimization design

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

WANG Wenzhu1,2, LI Jie2, LIU Gang1, WEI Jun3, ZHANG Zhenwei2, CHENG Mianhong1. Optimization design of drum brake stability based on Kriging surrogate model[J]. Journal of Vibration and Shock, 2021, 40(11): 134-138

References

［1］CHEN F.Automotive disk brake squeal: an overview［J］.International Journal of Vehicle Design, 2009, 51(1/2): 39-72.

［2］KINKAID N M, O’REILLY O M, PAPADOPOULOS P.Review of automotive disc brake squeal［J］.Journal of Sound and Vibration, 2003, 267(1): 105-166.
［3］张立军, 刁坤, 孟德建, 等.摩擦引起的振动和噪声的研究现状与展望［J］.同济大学学报(自然科学版), 2013,41(5):765-772.
ZHANG Lijun, DIAO Kun, MENG Dejian, et al.Friction-induced vibration and noise research: the status quo and its prospect［J］.Journal of Tongji University (Nature Science), 2013, 41(5): 765-772.
［4］OUYANG H J, NACK W, YUAN Y B, et al.Numerical analysis of automotive disc brake squeal: a review［J］.International Journal of Vehicle Noise and Vibration, 2005, 1(3/4): 207-231.
［5］OUYANG H J, NACK W, YUAN Y B, et al.On automotive disc brake squeal part Ⅱ: simulation and analysis［R］.［S.1.］: SAE Paper, 2003.
［6］LILES G D.Analysis of disc brake squeal using finite element methods［R］.［S.1.］: SAE Paper, 1989.
［7］DENIMAL E, SINOU J J, NACIVET S, et al.Squeal analysis based on the effect and determination of the most influential contacts between the different components of an automotive brake system［J］.International Journal of Mechanical Sciences, 2019, 151: 192-213.

［8］LEE J M, YOO S M, KIM J H.A study on the squeal of a drum brake which has shoes of non-uniform cross section［J］.Journal of Sound and Vibration, 2001, 240 (5): 789-808.
［9］IOANNIDIS P, BROOKS P C, BARTON D C.Drum brake contact analysis and its influence on squeal noise prediction［R］.［S.1.］: SAE Paper, 2003.
［10］HUANG J C, KROUSGRILL C M, BAJAJ A K.Modeling of automotive drum brakes for squeal and parameter sensitivity analysis［J］.Journal of Sound and Vibration, 2006, 289(1/2): 245-263.
［11］AHMED I, ABOUL-SEOUD S.Drum brake squeal analysis by finite element method［R］.［S.1.］: SAE Paper, 2006.
［12］庞明, 张立军, 孟德建,等.鼓式制动器摩擦尖叫的复模态模型与影响因素研究［J］.振动与冲击, 2014, 33(8): 35-41.
PANG Ming, ZHANG Lijun, MENG Dejian, et al.Complex modal analysis model for frictional squeal of an automotive drum brake and its affect factors［J］.Journal of Vibration and Shock, 2014, 33(8): 35-41.
［13］HOU J, GUO X X, TAN G F.Complex mode analysis on disc brake squeal and design improvement［R］.［S.1.］: SAE Paper, 2009.
［14］JONES D R, SCHONLAU M, WELCH W J.Efficient global optimization of expensive black-box functions［J］.Journal of Global Optimization, 1998, 13(4): 445-492.
［15］GIUNTA A A.Aircraft multidisciplinary design optimization using design of experiments theory and response surface modeling［D］.
Blacksburg: Virginia Polytechnic Institute and State University, 1997.
［16］MATHERON G M.Principles of geostatistics［J］.Economic Geology, 1963, 58(8): 1246-1266.
［17］韩忠华.Kriging模型及代理优化算法研究进展［J］.航空学报, 2016, 37(11): 3197-3225.
HAN Zhonghua.Kriging surrogate model and its application to design optimization: a review of recent progress［J］.Acta Aeronautica et Astronautica Sinica, 2016, 37(11): 3197-3225.
［18］姚雯．不确定性MDO理论及其在卫星总体设计中的应用研究［D］.长沙: 国防科学技术大学, 2007.

［19］赖宇阳, 姜欣,方立桥，等.Isight参数优化理论与实例详解［M］.北京: 北京航空航天大学出版社, 2012.
［20］曾小华, 王振伟, 宋大凤, 等.基于多岛遗传算法的功率分流式双模混合动力客车参数优化［J］.机械工程学报, 2020, 56(2): 98-105.
ZENG Xiaohua, WANG Zhenwei, SONG Dafeng, et al.Parameter optimization of dual-mode power-split hybrid electric bus based on MIGA algorithm［J］.Journal of Mechanical Engineering, 2020, 56(2): 98-105.