东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (1): 81-85.DOI: 10.12068/j.issn.1005-3026.2017.01.017

• 机械工程 • 上一篇    下一篇

采煤机牵引部可靠性灵敏度分析及优化设计

周笛， 张旭方， 张义民   

  1. (东北大学 机械工程与自动化学院， 辽宁 沈阳110819)
  • 收稿日期:2015-03-24 修回日期:2015-03-24 出版日期:2017-01-15 发布日期:2017-01-13
  • 通讯作者: 周笛
  • 作者简介:周笛(1989-)，男，辽宁锦州人，东北大学博士研究生; 张义民(1958-)，男，吉林长春人，东北大学教授，博士生导师，教育部“长江学者奖励计划”特聘教授.
  • 基金资助:
    国家重点基础研究发展计划项目(2014CB046303)； 国家自然科学基金资助项目(51405069).

Reliability Sensitivity Analysis and Optimization Design on Tractive Drive System of Shearer Loader

ZHOU Di， ZHANG Xu-fang， ZHANG Yi-min   

  1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.
  • Received:2015-03-24 Revised:2015-03-24 Online:2017-01-15 Published:2017-01-13
  • Contact: ZHANG Yi-min
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摘要： 以MG300/700-WD牵引部传动系统为例，考虑了系统非线性侧隙和时变啮合刚度，建立了传动系统的动力学模型.基于高阶随机响应面方法，构建了牵引部参数与系统最大接触应力的显式关系，并计算了系统参数的可靠性灵敏度.建立了牵引部传动系统最佳可靠性与最小占用空间的优化模型，并分析了优化模型的可靠性灵敏度.结果表明:牵引部传动系统第二级行星轮的参数对于系统可靠性影响较大，太阳轮参数较行星轮参数灵敏.优化模型可以提高牵引部系统的可靠性，在高结构强度区域降低了参数的可靠性灵敏度.

关键词: 可靠性灵敏度, 高阶随机响应面法, 可靠性, 优化设计, 牵引部

Abstract: Traction unit is an important dynamic transmission system of a shearer loader. Considering the nonlinear backlash and time-varying mesh stiffness， the dynamic model was established for the tractive transmission system of MG300/700-WD shearer loader. Based on the high-order stochastic response method， an explicit relationship between the parameters of traction unit and the maximum contact stress was built. Indexes of reliability sensitivity were calculated to analyze the system performance. The maximal reliability model and minimal space model were proposed to optimize the traction unit in shearer loader. The research results show that the second planetary gear system has a great effect on the reliability of traction unit and the parameters of sun gear are more sensitive than those of planet gear. The optimization models can elevate the system reliability and can decrease the indexes of reliability sensitivity in the area of high structural strength.

Key words: reliability sensitivity, high-order stochastic response surface method, reliability, optimization design, traction unit

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