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精密模具电极智能化设计技术研究现状及展望

李硕 薛斌 赵南阳 许忠斌 周祥 赵卓祥 李小峰

模具技术Issue(1):182-190,9.
模具技术Issue(1):182-190,9.

精密模具电极智能化设计技术研究现状及展望

Research status and prospect of intelligent design technology for precision mold electrodes

李硕 1薛斌 2赵南阳 3许忠斌 1周祥 4赵卓祥 4李小峰4

作者信息

  • 1. 浙江大学能源工程学院,浙江 杭州 310027||浙江大学宁波国际科创中心,浙江 宁波 315100
  • 2. 台州学院智能制造学院,浙江 台州 318000
  • 3. 浙江大学能源工程学院,浙江 杭州 310027
  • 4. 杭州索凯实业有限公司,浙江 杭州 311231
  • 折叠

摘要

Abstract

Electrical Discharge Machining(EDM)is a key process for machining complex cavities and forming fine features in precision molds,with its core lying in the electrode.Promoting the development of electrode design towards automation and intelligence is significant for improving mold manufacturing efficiency,shortening the process cycle,and reducing comprehensive costs.This paper systematically reviews the research status of intelligent design technology for precision mold electrodes oriented to EDM.Firstly,the typical electrode design process is introduced.Then,the machining feature recognition methods from three perspectives:geometric features,machining simulation,and deep learning are summarized.Subsequently,the intelligent design technology of electrodes,specifically encompassing intelligent modeling of electrodes,process compensation and machining simulation,and the integration of the entire electrode design and manufacturing process is analyzed.Through the review and analysis of existing theoretical and technical achievements,the key role of intelligent design in improving the efficiency and quality of electrode design is revealed.Finally,the current technical bottlenecks and prospects for the key development directions in the future are summarized,aiming to provide references for research and applications in related fields.

关键词

精密模具电极/电火花加工/智能化设计/加工区域识别/全流程集成

Key words

precision mold electrodes/electrical discharge machining/intelligent design/machining area recognition/full-process integration

分类

矿业与冶金

引用本文复制引用

李硕,薛斌,赵南阳,许忠斌,周祥,赵卓祥,李小峰..精密模具电极智能化设计技术研究现状及展望[J].模具技术,2026,(1):182-190,9.

基金项目

浙江省高层次人才特殊支持计划(编号:2023R5218) (编号:2023R5218)

校企合作项目(编号:K20241357) (编号:K20241357)

模具技术

1001-4934

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