Intelligent generation method of 3D machining process based on process knowledge

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.

KEYWORDS:

• Process knowledge
• skeleton process
• process constraint matrix
• genetic algorithm
• machining process

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 51605204, in part by the China Postdoctoral Science Foundation Funded Project under Grant 2018M630536, in part by the Special Funding Project for Key Technologies of Ship Intelligence Manufacturing from the MIIT of China under Grant MC-201704-Z02, and in part by the National Defense Basic Scientific Research Program under Grant JCKY2018414C002. JCKY2018414C015.