Research on Intelligent Design of Machine Tool Guide Rail Based on Case-based Reasoning. Issue 1 (1st January 2022)

• Record Type: Journal Article
• Authors: Li, Fangzhen; Wang, Pengjia; Peng, Baoying; Yang, Qingdong
• Is Part Of: Journal of physics. Volume 2174:Issue 1(2022)
• Publication Date: 2022-01-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2174/1/012012
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In order to solve the problem of low efficiency of machine tool guide rail design, reduce design cost and shorten design cycle, a guide rail design method based on case-based reasoning is proposed. First, the framework of the intelligent design system for machine tool guide rails is constructed; based on the water injection principle WFT in the communication field, by establishing the rationality index of weight distribution, the Lagrangian function is constructed to optimize the weights, and the convergent water injection distribution algorithm is obtained. Similarity calculation performs case retrieval, and makes corresponding parameterized modifications to similar cases. The research results show that the intelligent design method of the machine tool guide rail can quickly and automatically retrieve similar cases, so as to realize the intelligence and automation of the machine tool guide rail design, speed up the product design process, and improve the design efficiency.