Open AccessDEVELOPMENT OF HOLE RECOGNITION SYSTEM FROM STEP FILE
Author(s) -
Chunlei Tan,
Napsiah Ismail,
Shaw Voon Wong,
Shamsuddin Sulaiman,
Mohd Rasid Osman
Publication year - 2017
Publication title -
asean journal on science and technology for development/asean journal on science and technology for development
Language(s) - English
Resource type - Journals
eISSN - 2224-9028
pISSN - 0217-5460
DOI - 10.29037/ajstd.166
Subject(s) - computer science , feature (linguistics) , process (computing) , cad , feature recognition , simple (philosophy) , pattern recognition (psychology) , two step , product (mathematics) , data file , data mining , engineering drawing , artificial intelligence , database , operating system , engineering , mathematics , philosophy , linguistics , geometry , epistemology
This paper describes the development of Hole Recognition System (HRS) for Computer-Aided Process Planning (CAPP) using a neutral data format produced by CAD system. The geometrical data of holes is retrieved from STandard for the Exchange of Product model data (STEP). Rule-based algorithm is used during recognising process. Current implementation of feature recognition is limited to simple hole feat ures. Test results are presented to demonstrate the capabilities of the feature recognition algorithm.