东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2006, Vol. 27 ›› Issue (6): 677-680.DOI: -

• 论著 • 上一篇    下一篇

压气机轮盘疲劳寿命影响参量的灵敏度分析

钱文学;尹晓伟;何雪浤;谢里阳;   

  1. 东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;东北大学机械工程与自动化学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2006-06-15 发布日期:2013-06-23
  • 通讯作者: Qian, W.-X.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50275025)

Sensitivity analysis of influencing parameters on fatigue life of aeroengine compressor disk

Qian, Wen-Xue (1); Yin, Xiao-Wei (1); He, Xue-Hong (1); Xie, Li-Yang (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-06-15 Published:2013-06-23
  • Contact: Qian, W.-X.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

523

摘要： 压气机轮盘的材料参数与所受应力水平等因素对轮盘寿命有重要影响,就轮盘疲劳寿命对各相关参量的灵敏度进行了详细的分析计算,确定了寿命对各相关参量的敏感程度,绘制了相应的疲劳寿命影响参量灵敏度曲线.计算分析表明,轮盘寿命对轮盘疲劳强度参数与应力的灵敏度影响较大,在各参数中对疲劳强度指数的灵敏度影响是最大的,灵敏度达到了10,当疲劳强度指数值发生变化时将引起疲劳寿命值的很大变化.轮盘寿命对疲劳延性参数的灵敏度较小,其中对疲劳延性系数的灵敏度值小于1且变化不大,可以近似认为是一个常数.通过对各参数的灵敏度分析,在设计中就可以根据寿命对各参量灵敏度的不同,合理确定轮盘的材料、结构和加工工艺.这也是进一步进...

关键词: 灵敏度分析, 轮盘, 临界平面法, 差分法, 疲劳寿命

Abstract: The material parameters and stress level have important influence on the fatigue life of aeroengine compressor disk. A detailed calculation was done to determine the sensitivities of fatigue life to related parameters with relevant fatigue life-sensitivity curves given. It was found that the sensitivities to fatigue strength parameters and stress are greater than that to plastic fatigue parameters, among which the sensitivity to fatigue strength exponent is up to 10 as the greatest one. The sensitivity to fatigue ductility coefficient is less than 1, and therefore can be taken as a constant approximately in practical design during which the material, structure and process technology of the disk can all be determined reasonably according to different parameter sensitivities. A reference is thus provided further for the design of reliability and optimization.

中图分类号: