An intelligent process planning system for prismatic parts using STEP features

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 corr...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2007-01, Vol.31 (9-10), p.978-993
Main Authors: Amaitik, Saleh M., Kiliç, S. Engin
Format: Article
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
Feature recognition
Fuzzy logic
Knowledge acquisition
Machine tools
Machining
Neural networks
Prismatic components
Process planning
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Summary: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.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-005-0269-5