| 基于容差模型的发动机悬置系统稳健优化设计 |
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| 引用本文： | 王歆侃.基于容差模型的发动机悬置系统稳健优化设计[J].汽车科技,2012(4):16-19. |
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| 作者姓名： | 王歆侃 |
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| 作者单位： | 合肥工业大学 噪声振动工程研究所,合肥230009;安徽省汽车NVH与可靠性重点实验室,合肥230009 |
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| 基金项目： | 国家863重大科技专项，安徽省科技攻关项目 |
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| 摘 要： | 应用稳健优化设计理论,考虑设计变量的不确定性对结果的影响,建立稳健优化模型。以发动机悬置系统能量解耦为目标,用Pareto遗传算法对系统的刚度参数进行稳健优化,并将优化结果运用Monte Carlo方法进行分析.结果表明,优化方法可以有效提高悬置系统的稳健性。
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| 关 键 词： | 发动机悬置系统 能量解耦 Pareto遗传算法 稳健优化设计 Monte Carlo法 |
Robust Optimal Design of Engine Mounting System Based on Tolerance Model |
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| WANG Xin-kan.Robust Optimal Design of Engine Mounting System Based on Tolerance Model[J].Automobile Science and Technology,2012(4):16-19. |
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| Authors: | WANG Xin-kan |
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| Institution: | WANG Xin-kan ( 1 .Institute of Noise and Vibration Research, Hefei University of Technology, Hefei 230009, China ; 2. Anhui Key Laboratory of Automobile NVH and Reliability, Hefei 230009, China) |
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| Abstract: | Considering the influence of the uncertainty of design variable on the results, the robust optimization design theory is used to build robust model. Pareto Genetic Algorithms is adopted to optimize the stiffness of mounting of engi neer mounting system which takes the decoupling of energy distribution as a target, and the Monte Carlo method is used to analyze the optimized results. The results show that the method can improve the robustness of mounting system. |
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| Keywords: | engine mounting system energy decoupling Pareto genetic algorithms robust optimal design Monte Carlo method |
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