Intelligent generation method of 3D machining process based on process knowledge. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Jing, Xuwen; Zhu, Yuping; Liu, Jinfeng; Zhou, Honggen; Zhao, Peng; Liu, Xiaojun; Tian, Guizhong; Ye, Hua; Li, Qun
• Is Part Of: International journal of computer integrated manufacturing. Volume 33:Issue 1(2020)
• Page Start: 38
• Page End: 61
• Publication Date: 2020-01-02
• Subjects: Process knowledge -- skeleton process -- process constraint matrix -- genetic algorithm -- machining process; Computer integrated manufacturing systems -- Periodicals; 670.427
• DOI: 10.1080/0951192X.2019.1690687
• Languages: English
• ISSNs: 0951-192X

Abstract

ABSTRACT: Intelligent manufacturing has become the trend of global manufacturing industry, and the core of the new industrial revolution and the commanding point of Made in China 2025. Process planning is an important part of intelligent manufacturing. To improve the speed and accuracy of intelligent generation of machining process, a systematic intelligent generation method of machining process based on process knowledge is proposed. Firstly, a method of modelling and management of process knowledge is presented. Secondly, by combining case-based reasoning with rule-based reasoning, accurate process information of machining features is obtained. Then, the skeleton process is formed. Thirdly, through the analysis of the precedence constraints and the processing experience constraints, the precedence relation between machining features is determined. Moreover, the precedence between process operations is formulated by process constraint matrix. Finally, a genetic algorithm (GA) approach is presented to obtain the global optimal process route for the part based on working step with process information. Taking the connecting rod and piston of marine diesel engine and the spindle box shell as the research object, the feasibility of this method is verified.