摘要详情

ID / 提交时间

163 / 2024-08-31 22:37:48

标题

Selective assembly of rolling element bearings based on pointer network

关键字

Rolling element bearings,selective assembly,clearance,point network

主题及专题

lAI Applications in Engineering

状态

终稿

作者

YangZhe / Dongguan University of Technology

摘要

Radial clearance is an important quality indicator for deep groove ball bearings and cylindrical roller bearings. Given a batch of components, including outer rings, inner rings and rolling elements, with different sizes due to the manufacturing error, selective assembly is a critical process to properly combine these components to obtained qualified bearings as many as possible. In this work, a method based on pointer network is proposed to address the precise selective assembly of bearing components. A graph embedding layer is employed to model all the components as graph nodes and their possible relationship as edges. The pointer network is trained to generate a sequence representing the assembly relationship of components, with the objective of maximizing the assembly rate and minimizing the bias with respect to the best clearance. Compared with traditional intelligent optimization method, such as genetic algorithm, which can also be used to approximate solutions for the selective assembly of bearing components, the proposed method outperforms with better generalization capability, it can be trained using a small-batch of data and be applied for a much large batch problem without losing accuracy and significant increasing the computational time.