Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition
Authorized Users Only
2011
Conference object (Published version)
,
Prof. K.-D. Bouzakis
Metadata
Show full item recordAbstract
Feature technology is considered an essential tool for integrating design and manufacturing. Automatic feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. After a brief review of approaches based on application of artificial neural networks (ANN) for solving major AFR problems, this paper presents an AFR system for prismatic parts with external extraction of geometric information out of a STEP CAD model, part
representation based on B-rep coding and ANN-based pattern recognition.
Keywords:
Artificial neural networks / Automatic feature recognition (AFR) / STEP CAD model / Face coding / Automated CAPP system / B-rep coding / ANN-based pattern recognition / Prismatic partsSource:
Proceedings of the 4th International Conference on Manufacturing Engineering (ICMEN 2011), 2011, 295-304Publisher:
- The Aristotle University of Thessaloniki
Funding / projects:
- An innovative ecologically based approach to implementation of intelligent manufacturing systems for production of sheet metal parts (RS-MESTD-Technological Development (TD or TR)-35004)
Collections
Institution/Community
Mašinski fakultetTY - CONF AU - Babić, Bojan AU - Nešić, Nenad AU - Miljković, Zoran PY - 2011 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4947 AB - Feature technology is considered an essential tool for integrating design and manufacturing. Automatic feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. After a brief review of approaches based on application of artificial neural networks (ANN) for solving major AFR problems, this paper presents an AFR system for prismatic parts with external extraction of geometric information out of a STEP CAD model, part representation based on B-rep coding and ANN-based pattern recognition. PB - The Aristotle University of Thessaloniki C3 - Proceedings of the 4th International Conference on Manufacturing Engineering (ICMEN 2011) T1 - Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition EP - 304 SP - 295 UR - https://hdl.handle.net/21.15107/rcub_machinery_4947 ER -
@conference{ author = "Babić, Bojan and Nešić, Nenad and Miljković, Zoran", year = "2011", abstract = "Feature technology is considered an essential tool for integrating design and manufacturing. Automatic feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. After a brief review of approaches based on application of artificial neural networks (ANN) for solving major AFR problems, this paper presents an AFR system for prismatic parts with external extraction of geometric information out of a STEP CAD model, part representation based on B-rep coding and ANN-based pattern recognition.", publisher = "The Aristotle University of Thessaloniki", journal = "Proceedings of the 4th International Conference on Manufacturing Engineering (ICMEN 2011)", title = "Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition", pages = "304-295", url = "https://hdl.handle.net/21.15107/rcub_machinery_4947" }
Babić, B., Nešić, N.,& Miljković, Z.. (2011). Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition. in Proceedings of the 4th International Conference on Manufacturing Engineering (ICMEN 2011) The Aristotle University of Thessaloniki., 295-304. https://hdl.handle.net/21.15107/rcub_machinery_4947
Babić B, Nešić N, Miljković Z. Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition. in Proceedings of the 4th International Conference on Manufacturing Engineering (ICMEN 2011). 2011;:295-304. https://hdl.handle.net/21.15107/rcub_machinery_4947 .
Babić, Bojan, Nešić, Nenad, Miljković, Zoran, "Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition" in Proceedings of the 4th International Conference on Manufacturing Engineering (ICMEN 2011) (2011):295-304, https://hdl.handle.net/21.15107/rcub_machinery_4947 .