面向智能制造的数控加工工艺重用关键技术：系统回顾

doi:10.3901/JME.2025.20.301

机械工程学报 ›› 2025, Vol. 61 ›› Issue (20): 301-317.doi: 10.3901/JME.2025.20.301

• 交叉与前沿 • 上一篇

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面向智能制造的数控加工工艺重用关键技术：系统回顾

牛帅¹, 仝晓萌¹, 蔡茂林¹, 李毅波², 岳烜德³

1. 北京航空航天大学自动化科学与电气工程学院北京 100191;
2. 中南大学极端服役性能精准制造全国重点实验室长沙 410083;
3. 中国航空工业集团成都飞机工业(集团)有限责任公司成都 610092

收稿日期:2024-10-25 修回日期:2025-07-02 发布日期:2025-12-03
作者简介:牛帅，男，1997年出生，博士研究生。主要研究方向为智能制造、数字制造。E-mail:niushuai7911@163.com
仝晓萌，男，1989年出生，博士，副教授，硕士研究生导师。主要研究方向为流体轴承、智能制造、人工智能和工业互联网。E-mail:tongxiaomeng@buaa.edu.cn
蔡茂林(通信作者)，男，1972年出生，博士，教授，硕士研究生导师。主要研究方向非标件数字化敏捷智能制造技术。E-mail:caimaolin@buaa.edu.cn
李毅波，男，1981年出生，博士，教授，博士研究生导师。主要研究方向为机械系统与制造工艺过程的数字孪生，轻质混杂材料设计制造一体化。E-mail:liyibo@csu.edu.cn
岳烜德，男，1980年出生，博士。主要研究方向为机械系统的设计及其优化。E-mail:zhangdvv@163.com
基金资助:
国家重点研发计划(2024YFB3409700)和极端服役性能精准制造全国重点实验室开放课题(KFKT2023—10)资助项目。

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

NIU Shuai¹, TONG Xiaomeng¹, CAI Maolin¹, LI Yibo², YUE Xuande³

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191;
2. State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha 410083;
3. Chengdu Aircraft Industrial (Group) Co., Ltd, Aviation Industry Corporation of China, Chengdu 610092

Received:2024-10-25 Revised:2025-07-02 Published:2025-12-03

摘要/Abstract

摘要： 随着数字化制造技术的迅速发展，企业数据库中已积累大量加工工艺实例。基于“几何相似则工艺相似”的基本原理，通过识别和提取相似的三维几何工艺信息，可有效实现工艺知识的重用，进而提升工艺决策系统的智能化水平，缩短产品开发周期。在数控加工工艺重用技术快速发展的背景下，系统把握其发展现状和未来趋势，为工艺设计人员提供全面的文献综述具有重要的理论和实践意义。研究从三个维度系统分析和总结了数控加工工艺重用技术的最新研究进展：首先，宏观工艺重用层面重点探讨产品整体加工路线的重用方法；其次，微观工艺重用层面聚焦于具体加工环节中工艺知识的精确提取与应用技术；最后，基于机器学习的工艺重用技术则聚焦于非结构化CAD模型数据的处理及其与工艺信息之间复杂的映射关系。这些研究成果不仅对提升工艺设计效率具有重要的理论指导价值，同时在促进工艺知识管理体系的完善方面也具有显著的实践价值。

关键词: 智能制造, 加工工艺重用, 数控加工, 工艺规划, 机器学习

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

中图分类号:

TG156

牛帅, 仝晓萌, 蔡茂林, 李毅波, 岳烜德. 面向智能制造的数控加工工艺重用关键技术：系统回顾[J]. 机械工程学报, 2025, 61(20): 301-317.

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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面向智能制造的数控加工工艺重用关键技术：系统回顾

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

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