| 基于可行域贡献量的多点力值减振器优化设计 |
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| 引用本文： | 税永波,马逸飞,丁渭平.基于可行域贡献量的多点力值减振器优化设计[J].液压与气动,2018,0(11):24-28. |
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| 作者姓名： | 税永波 马逸飞 丁渭平 |
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| 作者单位： | 1. 重庆工商职业学院智能制造与汽车学院， 重庆401520；
2. 长安福特汽车有限公司， 重庆401120；
3. 先进驱动节能技术教育部工程研究中心， 四川成都610031；
4. 西南交通大学机械工程学院， 四川成都610031 |
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| 基金项目： | 国家自然科学基金（51775451）；重庆市教委科学技术研究项目（KJ1603801） |
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| 摘 要： | 为规避传统优化设计流程中灵敏度分析未考虑影响因素的实际取值区间而造成的风险，提出了基于可行域贡献量的影响程度的排序方法。该方法将设计参数的工程取值范围与灵敏度分析有机结合，同时考虑其他边界条件，对多点力值减振器的设计因素的影响程度进行了定量计算，完成了优化变量的选择和多点力值的多目标优化设计，且开发了相应的优化设计软件。优化样件台架试验结果表明：设计结果与目标值差异较小，进一步验证了所提方法及优化思路的有效性。
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| 关 键 词： | 可行域贡献量 多点力值 减振器 多目标优化 |
| 收稿时间： | 2018-07-17 |
Optimal Design Based on Feasible Region Contribution for Multi-point Force Value Shock Absorber |
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| SHUI Yong-bo,MA Yi-fei,DING Wei-ping.Optimal Design Based on Feasible Region Contribution for Multi-point Force Value Shock Absorber[J].Chinese Hydraulics & Pneumatics,2018,0(11):24-28. |
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| Authors: | SHUI Yong-bo MA Yi-fei DING Wei-ping |
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| Affiliation: | 1. College of Intelligent Manufacturing and Automobile, Chongqing Technology & Business Institute, Chongqing401520;
2. Chang'an Ford Automobile Co., Ltd., Chongqing401120;
3. Engineering Research Center of Advanced Driving Energy-saving Technology, Ministry of Education, Chengdu, Sichuan610031；
4. College of Mechanical Engineering, Souhtwest Jiaotong University, Chengdu, Sichuan610031 |
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| Abstract: | In order to avoid that actual value interval of influence factors is not taken into account for sensitivity analysis in traditional optimization design process, a ranking method based on feasible region contribution is proposed. This method combines engineering value range of design parameters with sensitivity analysis, and considers other boundary conditions at the same time. The method is used to quantitatively calculate the influence degree of design factors for multi-point force value shock absorber. Based on the result, the selection of optimization variables and multi-objective optimization design of multi point force value are completed, and the corresponding optimization design software is developed. The bench test results of optimized sample show that the difference between the design result and the target value is small, and the effectiveness of the proposed method and the optimization idea are further verfied. |
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