Fatigue life analysis based on six sigma robust optimization for pantograph collector head support

In this article, a new fatigue life analysis method based on six sigma robust optimization is proposed, which considers the random effects of material properties, external loads, and dimensions on the fatigue life of a pantograph collector head support. Some main random factors are identified through fatigue reliability sensitivity analysis, which are used as input variables during fatigue life analysis. The six sigma optimization model is derived using the second-order response surface method. The response surface is fitted by the Monte Carlo method, the samples are obtained by the Latin hypercube sampling technique, and the proposed model is optimized using the interior point algorithm. Through the optimization, the collector head support weight is reduced, the mean and the standard deviation of fatigue life have been decreased, and the effect of design parameter variation on the fatigue life is reduced greatly. The robustness of fatigue life prediction of collector head support is improved. The proposed method may be extended to fatigue life analysis of other components of electric multiple units.

[1]  Jin-Woo Kim,et al.  Design variable optimization for pantograph system of high-speed train using robust design technique , 2013 .

[2]  Zhiping Qiu,et al.  Fatigue reliability based on residual strength model with hybrid uncertain parameters , 2012 .

[3]  Yaming Fan,et al.  A generalized hysteresis energy method for fatigue and creep-fatigue life prediction of 316L(N) , 2015 .

[4]  G. Kharmanda,et al.  Reliability-based design optimization for fatigue damage analysis , 2015 .

[5]  Chen Ming-guo.  Improvement of pantograph framed structures for metro vehicles based on fatigue strength analysis , 2010 .

[6]  Vinod Yadava,et al.  Electrochemical magnetic abrasive machining of AISI304 stainless steel tubes , 2013 .

[7]  Ke Liang,et al.  A new robust design for imperfection sensitive stiffened cylinders used in aerospace engineering , 2015 .

[8]  Tapabrata Ray,et al.  Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm , 2015, IEEE Transactions on Evolutionary Computation.

[9]  Antoine Tahan,et al.  Influence of load spectrum assumptions on the expected reliability of hydroelectric turbines: A case study , 2014 .

[10]  Hong-Zhong Huang,et al.  Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels , 2015 .

[11]  Yimin Zhang,et al.  Reliability-Based Robust Design of Mechanical Components with Correlated Failure Modes Based on Moment Method , 2014 .

[12]  王剑,et al.  Six Sigma Robust Optimization of Fatigue Life for the Passenger Car Battery Hanging Device , 2016 .

[13]  Zhang Weihua.  Drawing and Application of Goodman-Smith Diagram for the Design of Railway Vehicle Fatigue Reliability , 2005 .

[14]  Dianyin Hu,et al.  Creep-fatigue behavior of turbine disc of superalloy GH720Li at 650 °C and probabilistic creep-fatigue modeling , 2016 .

[15]  Songlin Zheng,et al.  Fatigue life prediction under service load considering strengthening effect of loads below fatigue limit , 2014 .

[16]  Pei Chun-xing.  Research on Anti-Fatigue Performance of Upper-Arm Cross Beam of Pantograph Structure of Electric Multiple Units , 2013 .

[17]  Guangyong Sun.  Sheet Metal Forming Based Six Sigma Robust Optimization Design , 2008 .

[19]  Shun-Peng Zhu,et al.  A generalized frequency separation–strain energy damage function model for low cycle fatigue–creep life prediction , 2010 .

[20]  José A.F.O. Correia,et al.  A probabilistic fatigue approach for riveted joints using Monte Carlo simulation , 2015 .

[21]  Halil Karadeniz.  Uncertainty modeling in the fatigue reliability calculation of offshore structures , 2001, Reliab. Eng. Syst. Saf..

[22]  Hong-Zhong Huang,et al.  Probabilistic Low Cycle Fatigue Life Prediction Using an Energy-Based Damage Parameter and Accounting for Model Uncertainty , 2012 .

[23]  Torgeir Moan,et al.  Reliability-based assessment of deteriorating ship structures operating in multiple sea loading climates , 2008, Reliab. Eng. Syst. Saf..

[24]  Hong-Zhong Huang,et al.  An efficient life prediction methodology for low cycle fatigue–creep based on ductility exhaustion theory , 2013 .

[25]  Jan Vanfleteren,et al.  Impact of geometry on stretchable meandered interconnect uniaxial tensile extension fatigue reliability , 2015, Microelectron. Reliab..

[26]  Lance Manuel,et al.  Fatigue Reliability Analysis for Brace–Column Connection Details in a Semisubmersible Hull , 2015 .

[27]  Shigeo Shimizu,et al.  New data analysis of probabilistic stress-life (P–S–N) curve and its application for structural materials , 2010 .

[28]  John Dalsgaard Sørensen,et al.  Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines , 2015 .

[29]  Weiwen Peng,et al.  Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty , 2016, Reliab. Eng. Syst. Saf..