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A feature-based approach towards integration and automation of CAD/CAPP/CAM for EDM electrodes
- 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.
- Subjects :
- 0209 industrial biotechnology
Engineering drawing
Computer science
business.industry
Mechanical Engineering
Feature recognition
CAD
02 engineering and technology
Automation
Industrial and Manufacturing Engineering
Computer Science Applications
Domain (software engineering)
020901 industrial engineering & automation
Electrical discharge machining
Machining
Control and Systems Engineering
Feature (computer vision)
0202 electrical engineering, electronic engineering, information engineering
System integration
020201 artificial intelligence & image processing
Industrial and production engineering
business
Software
Subjects
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