A review of automated feature recognition with rule-based pattern recognition
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2008
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Prikaz svih podataka o dokumentuApstrakt
Automated feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. The objective of this paper is to review various approaches for solving three major AFR problems: (i) extraction of geometric primitives from a CAD model; (ii) defining a suitable part representation for form feature identification; and (iii) feature pattern matching/recognition. A novel, detailed classification of developed AFR systems has been introduced. This paper also provides a thorough investigation of methods for geometric feature extraction, emphasizing STEP standard application and, finally, a review of recent research reports in the field of AFR with rule-based feature pattern recognition. We discuss potentials and limitations of these approaches and emphasize directions for further research work.
Ključne reči:
STEP / logic rules / CAPP / B-rep / automated feature recognitionIzvor:
Computers in Industry, 2008, 59, 4, 321-337Izdavač:
- Elsevier, Amsterdam
DOI: 10.1016/j.compind.2007.09.001
ISSN: 0166-3615
WoS: 000254818000001
Scopus: 2-s2.0-39749194535
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Institucija/grupa
Mašinski fakultetTY - JOUR AU - Babić, Bojan AU - Nesić, Nenad AU - Miljković, Zoran PY - 2008 UR - https://machinery.mas.bg.ac.rs/handle/123456789/812 AB - Automated feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. The objective of this paper is to review various approaches for solving three major AFR problems: (i) extraction of geometric primitives from a CAD model; (ii) defining a suitable part representation for form feature identification; and (iii) feature pattern matching/recognition. A novel, detailed classification of developed AFR systems has been introduced. This paper also provides a thorough investigation of methods for geometric feature extraction, emphasizing STEP standard application and, finally, a review of recent research reports in the field of AFR with rule-based feature pattern recognition. We discuss potentials and limitations of these approaches and emphasize directions for further research work. PB - Elsevier, Amsterdam T2 - Computers in Industry T1 - A review of automated feature recognition with rule-based pattern recognition EP - 337 IS - 4 SP - 321 VL - 59 DO - 10.1016/j.compind.2007.09.001 ER -
@article{ author = "Babić, Bojan and Nesić, Nenad and Miljković, Zoran", year = "2008", abstract = "Automated feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. The objective of this paper is to review various approaches for solving three major AFR problems: (i) extraction of geometric primitives from a CAD model; (ii) defining a suitable part representation for form feature identification; and (iii) feature pattern matching/recognition. A novel, detailed classification of developed AFR systems has been introduced. This paper also provides a thorough investigation of methods for geometric feature extraction, emphasizing STEP standard application and, finally, a review of recent research reports in the field of AFR with rule-based feature pattern recognition. We discuss potentials and limitations of these approaches and emphasize directions for further research work.", publisher = "Elsevier, Amsterdam", journal = "Computers in Industry", title = "A review of automated feature recognition with rule-based pattern recognition", pages = "337-321", number = "4", volume = "59", doi = "10.1016/j.compind.2007.09.001" }
Babić, B., Nesić, N.,& Miljković, Z.. (2008). A review of automated feature recognition with rule-based pattern recognition. in Computers in Industry Elsevier, Amsterdam., 59(4), 321-337. https://doi.org/10.1016/j.compind.2007.09.001
Babić B, Nesić N, Miljković Z. A review of automated feature recognition with rule-based pattern recognition. in Computers in Industry. 2008;59(4):321-337. doi:10.1016/j.compind.2007.09.001 .
Babić, Bojan, Nesić, Nenad, Miljković, Zoran, "A review of automated feature recognition with rule-based pattern recognition" in Computers in Industry, 59, no. 4 (2008):321-337, https://doi.org/10.1016/j.compind.2007.09.001 . .