Key Technologies for CNC Machining Process Reuse for Intelligent Manufacturing: A Systematic Review

doi:10.3901/JME.2025.20.301

Abstract

Abstract: With the rapid development of digital manufacturing technology, a large number of machining process instances have accumulated in enterprise databases. Based on the basic principle that “geometric similarity likely leads to process similarity”, effective reuse of process knowledge can be achieved through identifying and extracting similar three-dimensional geometric process information, thereby enhancing the intelligence level of process decision-making systems and significantly shortening product development cycles. Against the background of rapid development in NC machining process reuse technology, systematically grasping its current status and future trends and providing comprehensive literature reviews for process designers has important theoretical and practical significance. The research systematically analyzes and summarizes the latest research progress of NC machining process reuse technology from three dimensions: first, at the macro process reuse level, methods for reusing the overall processing route of products are discussed; second, at the micro process reuse level, focus is placed on the precise extraction and application technology of process knowledge in specific processing links; finally, process reuse technology based on machine learning concentrates on the processing of unstructured CAD model data and the complex mapping relationship between them and process information. These research results not only have important theoretical guiding value for improving process design efficiency, but also show significant application prospects in promoting the improvement and optimization of enterprise process knowledge management systems.

Key words: intelligent manufacturing, process knowledge reuse, CNC machining, process planning, machine learning

CLC Number:

TG156

NIU Shuai, TONG Xiaomeng, CAI Maolin, LI Yibo, YUE Xuande. Key Technologies for CNC Machining Process Reuse for Intelligent Manufacturing: A Systematic Review[J]. Journal of Mechanical Engineering, 2025, 61(20): 301-317.

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