Çiçek, AdemAslantaş, Kubilay2020-04-302020-04-3020101300-1884https://hdl.handle.net/20.500.12684/4317Aslantas, Kubilay/0000-0003-4558-4516;WOS: 000277980500017Feature recognition is regarded as an ideal solution to integrate the component design and manufacturing processes. Integration of computer aided design (CAD) and computer aided manufacturing (CAM) systems is a vital importance in the building of computer integrated manufacturing (CIM) systems. In this paper, a matrix based feature recognition approach is developed for CAD and CAM integration. In feature recognition system, STEP AP-203 graphic standard is used to obtain geometric and topological data from 3D CAD models. Adjacency relations belonging to all faces on a component are extracted by use of entities represented in the STEP file and represented in a square matrix called as component matrix. Also, machining features are coded into a matrix called feature matrix, which will be located into database. In the developed system, the machining features are recognized by retrieving feature patterns corresponding to feature matrices within the component matrix. The developed algorithm is applied to interacting features, and is used a matrix matching process to recognize the interacting features on the component. The algorithm has been implemented to individual and interacting polyhedral features. The obtained results are very efficient for the implemented feature types.trinfo:eu-repo/semantics/closedAccessFeature recognitionSTEPFeature matricesMatrix matching processArticle251147155WOS:000277980500017Q4