Robust Optimization Design of Metro Handrails

doi:10.1007/s12204-019-2119-x

Journal of Shanghai Jiao Tong University (Science) ›› 2019, Vol. 24 ›› Issue (5): 628-631.doi: 10.1007/s12204-019-2119-x

Robust Optimization Design of Metro Handrails

LI Yonghua (李永华), ZHANG Xiaodan (张晓丹), ZHI Pengpeng (智鹏鹏)

(a. School of Locomotive and Rolling Stock Engineering; b. School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, Liaoning, China)

出版日期:2019-10-08 发布日期:2019-09-27
通讯作者: LI Yonghua (李永华) E-mail:yonghuali@163.com

Robust Optimization Design of Metro Handrails

LI Yonghua (李永华), ZHANG Xiaodan (张晓丹), ZHI Pengpeng (智鹏鹏)

(a. School of Locomotive and Rolling Stock Engineering; b. School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, Liaoning, China)

Online:2019-10-08 Published:2019-09-27
Contact: LI Yonghua (李永华) E-mail:yonghuali@163.com

摘要/Abstract

摘要： This paper presents the robust design and response surface method (RSM) based on finite element analysis for the optimization design of metro handrails. The response surface can be created for each output parameter. Sequential quadratic programming is used for the optimization of metro handrails. Taguchi design is employed to investigate the sensitive controlling factors for the strength and mass of metro handrails, by taking the material density, the column and cross bar thickness as controlling factors, and the acceleration, the elastic modulus and the fluctuation of material density as uncontrollable factors. Then, the best combination of controlling factors is found. The results by different methods show that the method of Taguchi design can improve the robustness of the structural performance and reduce the mass.

关键词: metro handrail, response surface method (RSM), Taguchi design

Abstract: This paper presents the robust design and response surface method (RSM) based on finite element analysis for the optimization design of metro handrails. The response surface can be created for each output parameter. Sequential quadratic programming is used for the optimization of metro handrails. Taguchi design is employed to investigate the sensitive controlling factors for the strength and mass of metro handrails, by taking the material density, the column and cross bar thickness as controlling factors, and the acceleration, the elastic modulus and the fluctuation of material density as uncontrollable factors. Then, the best combination of controlling factors is found. The results by different methods show that the method of Taguchi design can improve the robustness of the structural performance and reduce the mass.

Key words: metro handrail, response surface method (RSM), Taguchi design

中图分类号:

U 270.2

LI Yonghua (李永华), ZHANG Xiaodan (张晓丹), ZHI Pengpeng (智鹏鹏). Robust Optimization Design of Metro Handrails[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(5): 628-631.

参考文献 9

[7]	LI Y H, HU M G,WANG J. Six sigma robust optimizationof fatigue life for the passenger car battery hangingdevice [J]. Journal of Donghua University (EnglishEdition), 2016, 33(2): 223-226.
[1]	JIANG L K, XIANG Z R, LIU F. Layout design ofhandrails without assistive handles for metro vehicles[J]. Packaging Engineering, 2017, 38(2): 15-20 (inChinese).
[8]	LI Y H, DONG S D. Multi-response robust optimizationdesign method of EMU axle box spring [J]. ChinaRailway Science, 2016, 37(1): 100-107 (in Chinese).
[9]	SREENIVASULU R. Optimization of surface roughnessand delamination damage of GFRP compositematerial in end milling using Taguchi design methodand artificial neural network [J]. Procedia Engineering,2013, 64: 785-794.
[2]	LI Y H, LI W, HE W D. RV reducer backlash analysisbased on robust design [J]. Applied Mechanics andMaterials, 2012, 148/149: 418-421.
[3]	GUEDRI M, LIMA A M G, BOUHADDI N, et al. Robustdesign of viscoelastic structures based on stochasticfinite element models [J]. Mechanical Systems andSignal Processing, 2010, 24(1): 59-77.
[4]	XIE H, LIU X, HONG J C. Robust optimization ofautomotive door structure based on Taguchi method[J]. Chinese Journal of Mechanical Engineering, 2013,24(12): 1676-1681 (in Chinese).
[5]	LI Y H, HU M G, WANG F. Fatigue life analysis basedon six sigma robust optimization for pantograph collectorhead support [J]. Advances in Mechanical Engineering,2016, 8(11): 1-9.
[6]	GOSWAMI S, GHOSH S, CHAKRABORTY S. Reliabilityanalysis of structures by iterative improved responsesurface method [J]. Structural Safety, 2016, 60:55-66.
[7]	LI Y H, HU M G,WANG J. Six sigma robust optimizationof fatigue life for the passenger car battery hangingdevice [J]. Journal of Donghua University (EnglishEdition), 2016, 33(2): 223-226.
[8]	LI Y H, DONG S D. Multi-response robust optimizationdesign method of EMU axle box spring [J]. ChinaRailway Science, 2016, 37(1): 100-107 (in Chinese).
[9]	SREENIVASULU R. Optimization of surface roughnessand delamination damage of GFRP compositematerial in end milling using Taguchi design methodand artificial neural network [J]. Procedia Engineering,2013, 64: 785-794.

Robust Optimization Design of Metro Handrails

Robust Optimization Design of Metro Handrails

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