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A feature-based approach towards integration and automation of CAD/CAPP/CAM for EDM electrodes

Authors :
Hengyuan Ma
Chuipin Kong
Xionghui Zhou
Junjie Li
Qiang Niu
Wei Liu
Source :
The International Journal of Advanced Manufacturing Technology. 98:2943-2965
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

Electrical discharge machining (EDM) is widely used in mold manufacturing to form the intricate geometric features which are difficult to be produced by the conventional machining process. Owing to the use of a large number of electrodes, the cost and time consumption for electrode design and NC programming has become a bottleneck in boosting productivity of mold enterprises. Although computer-aided design (CAD)/computer-aided manufacturing (CAM) systems are widely used, because of the complex shapes and diversity of electrodes, manual operations are commonly employed to generate process plans and tool paths for electrode manufacturing, which is cumbersome and error-prone. In order to realize the intelligent manufacturing of electrodes in such a knowledge-intensive domain, this paper presents a feature-based integration approach of CAD/computer-aided process planning (CAPP)/CAM. A hierarchical taxonomy of electrode features is introduced and a hybrid feature recognition method is proposed to build multi-level feature tree. Then, feature knowledge and domain know-how based process planning and optimization are achieved followed by automatic tool path generation which aim to machining the electrode precisely and economically. In the framework of system integration, a structured product model is established to capture and encapsulate geometric entities, machining features, technical information, process plans, and measurement data of machining error to realize seamless flow of information among CAD/CAPP/CAM systems. The effectiveness and efficiency of the proposed approach are demonstrated by case studies and industry implementation.

Details

ISSN :
14333015 and 02683768
Volume :
98
Database :
OpenAIRE
Journal :
The International Journal of Advanced Manufacturing Technology
Accession number :
edsair.doi...........4ef682df021092234b7d4eba65ef0664
Full Text :
https://doi.org/10.1007/s00170-018-2447-2