某柱塞偶件的结构非概率可靠性分析
 吕星飞1,段逸凡*,2,吕帆1,张子威1,聂思佳2
(1.中国北方发动机研究所,天津 300400;2.电子科技大学 机械与电气工程学院,四川 成都 611731)
摘要:某型喷油泵内柱塞偶件易发生卡滞故障,导致柴油机的运行存在重大安全隐患。通过对柱塞偶件建模并分析其工作原理,确定了引起卡滞的重点部位,同时结合有限元仿真分析出故障产生原因是工况下偶件的结构变形。基于区间分析方法建立柱塞偶件结构非概率可靠性模型,针对功能函数构建神经网络代理模型,通过遗传算法求出可靠性指标η。研究结果表明,配合间隙为3 μm的原方案对应η为0.97393,结构可能发生失效;若改为3.5 μm,η提升为2.3391,结构处于安全状态,其非概率可靠性得到较大提高。该研究对柱塞偶件的设计改良具有一定的参考作用。
关键词:柱塞偶件;有限元分析;非概率可靠性;区间分析
中图分类号:TK4                文献标志码:A            doi:10.3969/j.issn.1006-0316.2024.05.005
文章编号:1006-0316 (2024) 05-0035-08
Structural Non-Probabilistic Reliability Analysis of Plunger Assembly
LYU Xingfei1,DUAN Yifan2,LYU fan1,ZHANG Ziwei1,NIE Sijia2
( 1. China North Engine Research Institute, Tianjin 300400, China; 2. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China )
Abstract:The plunger assembly in a certain type of fuel injection pump is prone to jamming, which leads to significant safety risks during the operation of the diesel engine. By modeling the plunger assembly and analyzing its working principle, this paper identifies the key parts that cause the jamming. At the same time, through the finite element analysis, it is found that the cause of the failure is the structural deformation of the plunger assembly under the working condition. A structural non-probabilistic reliability model of plunger assembly is established based on interval analysis method in this paper. Then the neural network is used to construct the performance function, and the reliability index η is calculated by genetic algorithm. The results show that when the clearance fit is 3 μm, the corresponding η of the original design is 0.97393, and the structure may fail. When the gap is changed to 3.5 μm, the η increases to 2.3391, which indicates that the structure is safe, and its non-probabilistic reliability is greatly improved. The conclusion provides valuable insights for the design of plunger assembly.
Key words:plunger assembly;finite element analysis;non-probabilistic reliability;interval analysis
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收稿日期:2023-03-27
作者简介:吕星飞(1991-),男,河北张家口人,硕士研究生,助理研究员,主要研究方向为燃油系统集成技术,E-mail:lvxingfei@aliyun.com。
*通讯作者:段逸凡(1999-),男,四川达州人,硕士研究生,主要研究方向为结构系统可靠性,E-mail:duanyifan2020@163.com。


 

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