Algorithm for ISO 14649 (STEP-NC) feature recognition

• Autorzy: Pobożniak J.
• Języki publikacji: EN

Abstrakty

EN

The paper focuses on the algorithm for the recognition of manufacturing features defined in ISO 14649 (STEP-NC). First, the features defined in STEP-NC standard are discussed and then commonly used feature recognition methods are presented. Then the developed algorithm for recognition is presented in details starting with the discussion of STEP-NC features from the point of view of their recognition. The steps of the algorithm responsible for the recognition of profile based, transition and group features are presented. The software developed to verify the algorithm is also described. The final part includes the directions for the future research works. This paper adds to the works aimed to strengthen the position and use the full benefits of this new ISO 14649 standard.

Słowa kluczowe

EN

ISO 14649; ISO 10303; machining feature recognition; STEP-NC; CNC machine tool programming; computer aided process planning; CAD/CAPP/CAM integration

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2013
• Tom: Vol. 4, No. 4
• Strony: 50--58
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Pobożniak J.

• Cracow University of Technology, Production Engineering Institute, Jana Pawła II 37, 31-864 Kraków, Poland

Bibliografia

• [1] ISO 6983-1:2009, Numerical Control of Machines - Program Format and Definition of Address Words - Part 1: Data Format for Positioning, Line Motion and Contouring Control Systems, 2009.
• [2] Pobożniak J., STEP-NC: Nowy standard programowania obrabiarek sterowanych numerycznie. Rewolucyjna zmiana?, Mechanik, 5-6, 2013.
• [3] ISO 14649-10, Industrial automation systems and integration - Physical device control - Data model for computerized numerical controllers - Part 10: General process data, 2004.
• [4] Kardoš J., Čuboňová N., Design of the Structure STEP-NC Data Model, Technological Engineering, No. 1/2012, IX., Zilina, Slovak Republic.
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• [9] Świć A., Gola A., Elements of design of production systems - methodology of machine tool selection in casing-class FMS, Management and Production Engineering Review, 1, 2, July 2010.
• [10] ISO 10303-1:1994, Industrial automation systems and integration - Product data representation and exchange - Part 1: Overview and fundamental principles, 1994.
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• [12] Joshi S., Chang T.C., Graph based heuristics for recognition of mechanical features form 3-D solid model, Computer Aided Design, 30 (2), 1988.
• [13] Vandenbrande J.H., Requicha A.A.G., Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models, IEEE Transactions on Pattern Analysis and Machine Intelligence archive, 15, 12, December 1993.