基于修正Sobol灵敏度模型的拨穗授粉机疲劳寿命影响因素分析研究

doi:10.3901/JME.2022.16.189

机械工程学报 ›› 2022, Vol. 58 ›› Issue (16): 189-196.doi: 10.3901/JME.2022.16.189

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基于修正Sobol灵敏度模型的拨穗授粉机疲劳寿命影响因素分析研究

朱林¹, 邱建春¹, 陈敏²

1. 扬州大学机械工程学院扬州 225001;
2. 西交利物浦大学智能工程学院苏州 215123

收稿日期:2021-08-18 修回日期:2022-06-01 出版日期:2022-08-20 发布日期:2022-11-03
通讯作者: 朱林(通信作者)，男，1990年出生，博士，副教授，硕士研究生导师。主要研究方向为机械系统可靠性与寿命预测。E-mail：zhulin157@163.com
基金资助:
国家自然科学基金(51805447)、江苏省自然科学基金青年(K20190911)、江苏省农业自主创新资金(CX(20)3060)和江苏省高等学校自然科学研究(22KJB460010)资助项目

Research on the Influencing Factors of the Plucking Pollinator Fatigue Life Based on Modified Sobol Sensitivity Model

ZHU Lin¹, QIU Jianchun¹, CHEN Min²

1. School of Mechanical Engineering, Yangzhou University, Yangzhou 225001;
2. School of Intelligent Engineering, Xijiao Liverpool University, Suzhou 215123

Received:2021-08-18 Revised:2022-06-01 Online:2022-08-20 Published:2022-11-03

摘要/Abstract

摘要： 针对拨穗授粉机结构疲劳寿命受外界因素影响复杂多样的特点，通过基于修正Sobol灵敏度模型对多工况因素与疲劳寿命之间的影响关系进行分析。首先，通过融合最优多项式响应面函数与Sobol灵敏度算法，推导出基于响应面修正的灵敏度模型。并在此基础上，结合多因素试验设计与极差验证、多体动力学分析、结构静力学分析及疲劳寿命分析等步骤，提出了该拨穗授粉机夹紧装置疲劳寿命与影响因素之间的灵敏度量化分析方法。最后，分析研究了工况影响因素与夹紧装置疲劳寿命之间的灵敏度关系，研究结果表明，风速大小对夹紧装置疲劳寿命的灵敏度影响最大，前进速度的影响最小，且稻田密度与风速大小之间的耦合程度明显。从而为实现结构疲劳寿命精确预测提供了一种思路。

关键词: 多影响因素, 疲劳寿命, 灵敏度模型, 数值仿真, 拨穗授粉机

Abstract: In view of the complex and diverse influence of external factors on the structural fatigue life of ear plucking pollinator, the influence relationship between multi working condition factors and fatigue life was analyzed based on the modified Sobol sensitivity model. Firstly, the sensitivity model based on response surface correction is derived by fusing the optimal polynomial response surface function and Sobol sensitivity algorithm. On this basis, combined with the steps of multi-factor experimental design and range verification, multi-body dynamics analysis, structural statics analysis and fatigue life analysis, a sensitivity quantitative analysis method between the fatigue life and influencing factors of the clamping device of the ear plucking pollinator is proposed. Finally, the sensitivity relationship between the influencing factors of working conditions and the fatigue life of the clamping device is analyzed and studied. The results show that the wind speed has the greatest influence on the fatigue life of the clamping device, the forward speed has the least influence, and the coupling degree between the rice field density and the wind speed is obvious. Thus, an idea is provided for the accurate prediction of structural fatigue life.

Key words: multiple influencing factors, fatigue life, sensitivity model, numerical simulation, ear plucking pollinator

中图分类号:

S224

朱林, 邱建春, 陈敏. 基于修正Sobol灵敏度模型的拨穗授粉机疲劳寿命影响因素分析研究[J]. 机械工程学报, 2022, 58(16): 189-196.

ZHU Lin, QIU Jianchun, CHEN Min. Research on the Influencing Factors of the Plucking Pollinator Fatigue Life Based on Modified Sobol Sensitivity Model[J]. Journal of Mechanical Engineering, 2022, 58(16): 189-196.

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基于修正Sobol灵敏度模型的拨穗授粉机疲劳寿命影响因素分析研究

Research on the Influencing Factors of the Plucking Pollinator Fatigue Life Based on Modified Sobol Sensitivity Model

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