An intelligent process planning system for prismatic parts using STEP features

Date

2007-01-01

Author

Amaitik, Saleh M.
Kilic, S. Engin

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This paper presents an intelligent process planning system using STEP features (ST-FeatCAPP) for prismatic parts. The system maps a STEP AP224 XML data file, without using a complex feature recognition process, and produces the corresponding machining operations to generate the process plan and corresponding STEP-NC in XML format. It carries out several stages of process planning such as operations selection, tool selection, machining parameters determination, machine tools selection and setup planning. A hybrid approach of most recent techniques ( neural networks, fuzzy logic and rule-based) of artificial intelligence is used as the inference engine of the developed system. An object-oriented approach is used in the definition and implementation of the system. An example part is tested and the corresponding process plan is presented to demonstrate and verify the proposed CAPP system. The paper thus suggests a new feature-based intelligent CAPP system for avoiding complex feature recognition and knowledge acquisition problems.

Subject Keywords

Control and Systems Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering, Software, Computer Science Applications

URI

https://hdl.handle.net/11511/64477

Journal

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

DOI

https://doi.org/10.1007/s00170-005-0269-5

Collections

Department of Mechanical Engineering, Article

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Citation Formats

S. M. Amaitik and S. E. Kilic, “An intelligent process planning system for prismatic parts using STEP features,” INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, pp. 978–993, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64477.