圆柱面过盈连接的力学特性及设计方法

Mechanical Properties and Design Method of Cylindrical Interference Fit

传统的圆柱面过盈连接设计将结合直径、结合宽度等因素视为定量,并且忽略边缘效应所引起的应力集中。为解决此问题,更好地研究圆柱面过盈连接的力学特性,寻求更合理的设计方法,结合有限元法和BP神经网络各自的优势,以ABAQUS为工具分析圆柱面过盈连接接触面的应力特性及结合直径、结合宽度、包容件外径及过盈量等因素对它的影响,将通过分析得到的大量接触边缘最大应力作为神经网络的训练样本,建立接触边缘最大应力的BP神经网络模型。将接触面应力的各种影响因素视为可调变量,结合接触边缘最大应力的BP神经网络模型,提出一种以接触边缘最大应力为优化目标的圆柱面过盈连接设计的BP神经网络动态调整算法。通过实例分析,表明该算法比传统的设计方法更为合理。

Conventional design of cylindrical interference fit treats the joint diameter and joint width as constants and doesn＇t consider the stress concentration caused by edge effect. For the solution of this question and better research of mechanical properties and more suitable design method, based on the advantages of finite element method and BP neural network, the finite element model of cylindrical interference fit is established using ABAQUS, which is used to analyze the properties of contact stress and its influencing factors such as joint diameter, joint width, outer diameter of the container, and interference. The model supplies plenty of training samples for the neural network. Based on that, the BP neural network calculation model for the maximum contact edge stress is established. Accounting for all kinds of factors treated as adjustable variables, a BP neural network dynamic adjusting algorithm for cylindrical interference fit design based on the maximum contact edge stress model which aims at the optimization of the maximum contact edge stress is proposed. The case analysis shows, the algorithm is more reasonable than conventional design method.