典型零件磨削加工工艺智能决策系统

doi:10.3901/JME.2023.12.126

机械工程学报 ›› 2023, Vol. 59 ›› Issue (12): 126-138.doi: 10.3901/JME.2023.12.126

• 特邀专栏：制造大数据分析与决策 • 上一篇下一篇

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典型零件磨削加工工艺智能决策系统

邓朝晖^1,2, 李重阳^2,3, 葛吉民^2,3, 刘涛^2,3

1. 华侨大学制造工程研究院厦门 361021;
2. 湖南科技大学难加工材料高效精密加工湖南省重点实验室湘潭 411201;
3. 湖南科技大学机电工程学院湘潭 411201

收稿日期:2022-08-30 修回日期:2023-02-15 出版日期:2023-06-20 发布日期:2023-08-15
通讯作者: 李重阳(通信作者),男,1994年出生,博士。主要研究方向为智能制造技术、工程陶瓷材料化学机械抛光等。E-mail:15773206100@163.com
作者简介:邓朝晖,男,1968年出生,教授,博士研究生导师。主要研究方向为高效精密智能制造。E-mail:edeng0080@vip.sina.com
基金资助:
湖南省高新技术产业科技创新引领计划(2020GK2003)和国家自然科学基金-浙江两化融合联合基金(U1809221)资助项目。

Intelligent Decision System for Grinding Process of Typical Parts

DENG Zhaohui^1,2, LI Zhongyang^2,3, GE Jimin^2,3, LIU Tao^2,3

1. Instriute of Manufacturing Engineering, Huaqiao University, Xiamen 361021;
2. Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, Hunan University of Science Technology, Xiangtan 411201;
3. School of Mechanical Engineering, Hunan University of Science Technology, Xiangtan 411201

Received:2022-08-30 Revised:2023-02-15 Online:2023-06-20 Published:2023-08-15

摘要/Abstract

摘要： 磨削作为大多数典型零件终加工方法，开展典型零件磨削加工工艺智能决策是满足其高精、高效的重要手段，因此提出基于6R模型的典型零件磨削加工智能工艺决策系统框架。首先，结合实例推理与置信度计算各实例的综合置信因子开展实例优选。然后，建立异质集成学习与粒子群算法优化的预测模型获得最优工艺方案输出。最后，基于Qt 4.8.7和SQLite 3开发典型零件磨削加工工艺决策系统。以磨床砂轮主轴磨削为例，根据企业应用报告，使用工艺智能决策系统的方案加工后，零件表面质量提高73.25%，工艺方案决策时间从近20 h缩短到2～4 h，零件加工处理时间从10 min缩短到5 min，单个产品的加工效率提高25%以上，最高达47%，工艺决策准确率达到98.2%，实现了典型零件的高效、高精度磨削加工。

关键词: 磨削, 工艺智能决策, 三支决策理论, 异质集成学习

Abstract: Grinding is the final processing method of most typical parts, and the intelligent decision-making of typical parts grinding process is an important means to satisfy its high precision and efficiency. Hence, a framework of intelligent process decision-making system for typical parts grinding based on 6R model is present. Firstly, the comprehensive confidence factor of each case is calculated based on the case-based reasoning and the confidence degree to carry out case retrieval. Then, a hybrid prediction model consisted of heterogeneous integration learning and PSO algorithm is established to obtain the optimal process plan output. Finally, based on Qt 4.8.7 and SQLite 3, a typical part grinding process decision-making system is developed. Taking the grinding of the grinder wheel spindle as an example, after using the proposed grinding process decision-making system, the surface quality of the parts is improved by 73.25%, the grinding process plan decision-making time is shortened from nearly 20 hours to 2-4 hours, and the processing time is shortened from 10 minutes to 5 minutes. The machining efficiency of single product is increased by more than 25%, up to 47%, and the decision-making accuracy rate reaches 98.2%, realizing high-efficiency and high-precision grinding of typical parts.

Key words: grinding, process intelligent decision-making, three-way decisions theory, heterogeneous integrated learning

中图分类号:

TG156

邓朝晖, 李重阳, 葛吉民, 刘涛. 典型零件磨削加工工艺智能决策系统[J]. 机械工程学报, 2023, 59(12): 126-138.

DENG Zhaohui, LI Zhongyang, GE Jimin, LIU Tao. Intelligent Decision System for Grinding Process of Typical Parts[J]. Journal of Mechanical Engineering, 2023, 59(12): 126-138.

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典型零件磨削加工工艺智能决策系统

Intelligent Decision System for Grinding Process of Typical Parts

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