叉吊搬运车横梁结构系统6σ稳健优化设计
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摘要
论述某型叉吊搬运车横梁结构系统基于6σ理论的校核分析及优化,以提高其可靠性。传统优化方法在设计过程中大多不考虑设计变量中不确定性因素的波动对设计结果的影响,稳健性较低,容易导致产品性能违反约束条件。文中将Kriging代理模型与蒙特卡洛模拟法、6σ质量设计集成运用,对横梁结构系统进行了6σ稳健优化设计。优化结果表明,结构尺寸分布更加合理,在实现轻量化的同时可使可靠性水平提高至8σ,可靠度增加至接近100%,大大提高了优化结果的稳健性,为全面解决同类非线性隐式工程结构问题提供了一定的理论支持和应用借鉴。
This paper discusses the check analysis and optimization of the beam structure system of a fork lift truck based on the 6σ theory in order to improve its reliability.In design process,most of the traditional optimization methods omit the influence of uncertainty factors in design variables on the design results,which also leads to low robustness and product performance violation to constraint conditions.In this paper,Kriging Surrogate Model,Monte Carlo Simulation and 6σ quality design are integrated together to carry out 6σ robust optimization design on the beam structure system.The optimization results show that the size distribution of the structure is more reasonable,the reliability level can be increased to 8σ and the reliability can be increased to close to 100 % while lightweight is realized,which greatly improves the robustness of the optimization results and provides certain theoretical support and application reference for comprehensively solving structure problems of similar nonlinear concealed engineering.
This paper discusses the check analysis and optimization of the beam structure system of a fork lift truck based on the 6σ theory in order to improve its reliability.In design process,most of the traditional optimization methods omit the influence of uncertainty factors in design variables on the design results,which also leads to low robustness and product performance violation to constraint conditions.In this paper,Kriging Surrogate Model,Monte Carlo Simulation and 6σ quality design are integrated together to carry out 6σ robust optimization design on the beam structure system.The optimization results show that the size distribution of the structure is more reasonable,the reliability level can be increased to 8σ and the reliability can be increased to close to 100 % while lightweight is realized,which greatly improves the robustness of the optimization results and provides certain theoretical support and application reference for comprehensively solving structure problems of similar nonlinear concealed engineering.
引文
[1]刘泽超,许志沛,王玉柱,等.叉吊搬运车承弯抗扭门架的有限元分析与轻量化[J].机械强度,2015,37(6):1130-1134.
[2]李航.门式启闭机门架结构有限元分析及优化设计[D].成都:西南石油大学,2016:47-52.
[3]陈立周.稳健设计[M].北京:机械工业出版社,2000.
[4]GB/T 3811-2008起重机设计规范[S].北京:中国标准出版社,2008.
[5]Huang D,Allen T T,Notz W I.Sequential Kriging optimization using multiple-fidelity evaluations[J].Structural and Multidisciplinary Optimization,2006,32(5):369-382.
[6]朱茂桃,朱彩帆,郭佳欢.基于6σ稳健性的轧制差厚板车门优化设计[J].中国机械工程,2017,28(8):996-1 001.
[7]薛红军,李云峰.结构优化设计的组合优化策略[J].机械强度,2013,35(3):278-282.
[8]Yang R J,Gu L.Design for six sigma through robust optimization[J].Struct Multidist Optimization,2004,26:235-248.
[9]高伟钊,莫旭辉.基于Kriging的泡沫填充锥形薄壁结构耐撞性6σ稳健性优化设计[J].固体力学学报,2012,33(4):370-377.
[2]李航.门式启闭机门架结构有限元分析及优化设计[D].成都:西南石油大学,2016:47-52.
[3]陈立周.稳健设计[M].北京:机械工业出版社,2000.
[4]GB/T 3811-2008起重机设计规范[S].北京:中国标准出版社,2008.
[5]Huang D,Allen T T,Notz W I.Sequential Kriging optimization using multiple-fidelity evaluations[J].Structural and Multidisciplinary Optimization,2006,32(5):369-382.
[6]朱茂桃,朱彩帆,郭佳欢.基于6σ稳健性的轧制差厚板车门优化设计[J].中国机械工程,2017,28(8):996-1 001.
[7]薛红军,李云峰.结构优化设计的组合优化策略[J].机械强度,2013,35(3):278-282.
[8]Yang R J,Gu L.Design for six sigma through robust optimization[J].Struct Multidist Optimization,2004,26:235-248.
[9]高伟钊,莫旭辉.基于Kriging的泡沫填充锥形薄壁结构耐撞性6σ稳健性优化设计[J].固体力学学报,2012,33(4):370-377.