Enriched machining feature-based reasoning for generic machining process sequencing. (English) Zbl 1128.90468

Summary: This paper presents an enriched machining feature (EMF)-based reasoning approach to generic machining process sequencing for distributed process planning (DPP). An EMF is represented by combining its machining volume with surface, geometric and volume features, as well as other technological information needed to machine the feature. The information embedded in the EMF is retrieved progressively for machining sequence generation. Following an introduction of EMF and its representation scheme, the problems in determining machine-independent feature groups (set-ups) in DPP and their machining sequences to be followed for a given part are investigated. Based on the EMF concept, five reasoning rules are formulated and the algorithms developed. As the set-ups and sequences are generated based on manufacturing constraints and datum references but separated from specific resources, they are generic and applicable to machine tools with varying configurations and capabilities. This approach is further validated through a case study.


90B30 Production models
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[1] DOI: 10.1016/S0166-3615(99)00051-2
[2] DOI: 10.1080/002075499191409 · Zbl 0939.90544
[3] DOI: 10.1016/S0007-8506(07)62732-2
[4] DOI: 10.1007/BF01351324
[5] Cai, N, Wang, L and Feng, H-Y. Adaptive set-up planning of prismatic parts by tool accessibility examination. Proceedings of 2005 ASME IMECE. paper IMECE2005-81055
[6] Chang T-C, Computer-Aided Manufacturing (1991)
[7] DOI: 10.1016/S0261-3069(00)00106-0
[8] Garey MR, Computers and Intractability: A Guide to the Theory of NP-Completeness (1979)
[9] DOI: 10.1080/00207548908942677
[10] DOI: 10.1080/002075497194859 · Zbl 0945.90593
[11] DOI: 10.1016/S0360-8352(98)00161-2
[12] DOI: 10.1023/A:1018589628373
[13] Jung JY, J. Des. Manuf. 3 pp 1– (1993)
[14] DOI: 10.1080/002075498192779 · Zbl 0945.90582
[15] DOI: 10.1016/S0010-4485(01)00058-6 · Zbl 05860874
[16] Kimura F, Computer-Aided Tolerancing – Proceedings of the Fourth CIRP Design Seminar (1995)
[17] DOI: 10.1080/00207540110061922 · Zbl 1114.90356
[18] DOI: 10.1080/00207540410001720412 · Zbl 1082.90028
[19] DOI: 10.1016/0360-8352(94)00191-O
[20] DOI: 10.1016/S0010-4485(01)00156-7 · Zbl 05860936
[21] DOI: 10.1080/00207540010020063 · Zbl 1009.90507
[22] DOI: 10.1007/s001700050054
[23] DOI: 10.1108/09576069910293013
[24] Nieble B, Mechanized Process Selection for Planning New Designs (1965)
[25] DOI: 10.1007/BF00177067
[26] DOI: 10.1080/002075400418261 · Zbl 1094.90540
[27] Rong Y, Int. J. Intell. Automat. Soft Comput. 3 pp 191– (1997)
[28] Rong Y, Computer-Aided Fixture Design (1999)
[29] DOI: 10.1016/S0010-4485(03)00065-4 · Zbl 05861064
[30] DOI: 10.1016/0010-4485(94)90018-3
[31] DOI: 10.1016/S0278-6125(03)90008-2
[32] Wang L, J. Appl. Sys. Stud. 2 pp 106– (2001)
[33] Wang, L, Zhao, W, Ma’ruf, A and Hoshi, T. 1996. Set-up less fabrication technology incorporated with machining feature-based CAD/CAM system for low volume and high product-mix machining center workshop. Proceedings of IMEC’96. 1996. 95–97.
[34] DOI: 10.1007/s00366-003-0260-4 · Zbl 01995197
[35] DOI: 10.1016/S0010-4485(01)00080-X · Zbl 05860884
[36] DOI: 10.1007/BF01304619
[37] DOI: 10.1243/0954405971516121
[38] DOI: 10.1016/S0010-4485(97)00090-0 · Zbl 1084.68888
[39] DOI: 10.1023/A:1008895224256
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