Enriched machining feature-based reasoning for generic machining process sequencing

References

• Arezoo , B , Ridgway , K and Al-Ahmari , AMA . 2000 . Selection of cutting tools and conditions of machining operations using an expert system . Comput. Ind. , 42 : 43 – 58 .
   Web of Science ®Google Scholar
• Bhaskara Reddy , SV , Shunmugam , MS and Narendran , TT . 1999 . Operation sequencing in CAPP using genetic algorithms . Int. J. Prod. Res. , 37 : 1063 – 1074 .
   Google Scholar
• Boerma , JR and Kals , HJJ . 1989 . Fixture design with FIXES: the automated selection of positioning, clamping and support features for prismatic parts . Ann. CIRP , 38 : 399 – 402 .
   Google Scholar
• Boogert , RM , Kals , HJ and Van Houten , FJ . 1996 . Tool paths and cutting technology in computer-aided process planning . Int. J. Adv. Manuf. Tech. , 11 : 186 – 197 .
   Web of Science ®Google Scholar
• 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
   Google Scholar
• Chang , T-C , Wysk , RA and Wang , H-P . 1991 . Computer-Aided Manufacturing , Englewood Cliffs, NJ : Prentice Hall .
   Google Scholar
• Edalew , KO , Abdalla , HS and Nash , RJ . 2001 . A computer-based intelligent system for automatic tool selection . Mat. Des. , 22 : 337 – 351 .
   Web of Science ®Google Scholar
• Garey , MR and Johnson , DS . 1979 . Computers and Intractability: A Guide to the Theory of NP-Completeness , San Francisco, CA : W. H. Freeman .
   Google Scholar
• Gindy , NNZ . 1989 . A hierarchical structure for form features . Int. J. Prod. Res. , 27 : 2089 – 2103 .
   Web of Science ®Google Scholar
• Gu , Z , Zhang , YF and Nee , AYC . 1997 . Identification of important features for machining operations sequence generation . Int. J. Prod. Res. , 35 : 2285 – 2307 .
   Web of Science ®Google Scholar
• Hashmi , K , El Baradie , MA and Ryan , M . 1998 . Fuzzy logic based intelligent selection of machining parameters . Comput. Ind. Eng. , 35 : 571 – 574 .
   Google Scholar
• Hwang , J-S and Miller , WA . 1997 . Using mixed-type reasoning in computer-aided process planning for feature interactions . J. Intell. Manuf. , 8 : 297 – 306 .
   Google Scholar
• Jung , JY and Ahluwalia , RS . 1993 . Prismatic part feature extraction and feature-based tool path selection . J. Des. Manuf. , 3 : 1 – 19 .
   Google Scholar
• Kim , I-T and Suh , H-W . 1998 . Optimal operation grouping and sequencing technique for multistage machining systems . Int. J. Prod. Res. , 36 : 2061 – 2081 .
   Web of Science ®Google Scholar
• Kim , YS and Wang , E . 2002 . Recognition of machining features for cast then machined parts . Comput.-Aided Des. , 34 : 71 – 87 .
   Web of Science ®Google Scholar
• Kimura , F , ed. 1995 . Computer-Aided Tolerancing — Proceedings of the Fourth CIRP Design Seminar , London : Chapman & Hall .
   Google Scholar
• Lee , D , Kiritsis , D and Xirouchakis , P . 2001 . Search heuristics for operation sequencing in process planning . Int. J. Prod. Res. , 39 : 3771 – 3788 .
   Web of Science ®Google Scholar
• Lee , D-H , Kiritsis , D and Xirouchakis , P . 2004 . Iterative approach to operation selection and sequencing in process planning . Int. J. Prod. Res. , 42 : 4745 – 4766 .
   Web of Science ®Google Scholar
• Lee , KY and Jung , MY . 1995 . Flexible process sequencing using Petri net theory . Comput. Ind. Eng. , 28 : 279 – 290 .
   Web of Science ®Google Scholar
• Li , WD , Ong , SK and Nee , AYC . 2002 . Recognizing manufacturing features from a design-by-feature model . Comput.-Aided Des. , 34 : 849 – 868 .
   Web of Science ®Google Scholar
• Lim , T , Corney , J , Ritchie , JM and Clark , DER . 2001 . Optimizing tool selection . Int. J. Prod. Res. , 39 : 1239 – 1256 .
   Web of Science ®Google Scholar
• Ma , W , Li , J and Rong , Y . 1999 . Development of automated fixture planning systems . Int. J. Adv. Manuf. Tech. , 15 : 171 – 181 .
   Web of Science ®Google Scholar
• Ming , XG , Mak , KL and Yan , JQ . 1999 . A hybrid intelligent inference model for computer aided process planning . Integr. Manuf. Sys. , 10 : 343 – 353 .
   Google Scholar
• Nieble , B . 1965 . Mechanized Process Selection for Planning New Designs Paper 737 (ASTME)
   Google Scholar
• Ong , SK and Nee , AYC . 1996 . Fuzzy-set-based approach for concurrent constraint set-up planning . J. Intell. Manuf. , 7 : 107 – 120 .
   Web of Science ®Google Scholar
• Qiao , L , Wang , X-Y and Wang , S-C . 2000 . A GA-based approach to machining operation sequencing for prismatic parts . Int. J. Prod. Res. , 38 : 3283 – 3303 .
   Web of Science ®Google Scholar
• Rong , Y , Liu , X , Zhou , J and Wen , A . 1997 . Computer-aided set-up planning and fixture design . Int. J. Intell. Automat. Soft Comput. , 3 : 191 – 206 .
   Google Scholar
• Rong , Y and Zhu , Y . 1999 . Computer-Aided Fixture Design , New York, NY : Marcel Dekker .
   Google Scholar
• Sundararajan , V and Wright , PK . 2004 . Volumetric feature recognition for machining components with freeform surfaces . Comput.-Aided Des. , 36 : 11 – 25 .
   Web of Science ®Google Scholar
• Tseng , Y-J and Joshi , SB . 1994 . Recognizing multiple interpretations of interacting machining features . Comput.-Aided Des. , 26 : 667 – 688 .
   Web of Science ®Google Scholar
• Wang , L , Feng , H-Y and Cai , N . 2003 . Architecture design for distributed process planning . J. Manuf. Sys. , 22 : 99 – 115 .
   Web of Science ®Google Scholar
• Wang , L and Norrie , DH . 2001 . Process planning and control in a holonic manufacturing environment . J. Appl. Sys. Stud. , 2 : 106 – 126 .
   Google Scholar
• 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 .
   Google Scholar
• Wong , TN , Chan , LCF and Lau , HCW . 2003 . Machining process sequencing with fuzzy expert system and genetic algorithms . Eng. Comput. , 19 : 191 – 202 .
   Web of Science ®Google Scholar
• Woo , Y and Sakurai , H . 2002 . Recognition of maximal features by volume decomposition . Comput.-Aided Des. , 34 : 195 – 207 .
   Web of Science ®Google Scholar
• Wu , R-R and Zhang , H-M . 1998 . Object-oriented and fuzzy-set-based approach for set-up planning . Int. J. Adv. Manuf. Tech. , 14 : 406 – 411 .
   Google Scholar
• Xu , X and Hinduja , S . 1997 . Determination of finishing features in 2½D components . J. Eng. Manuf. , 211 ( B ) : 125 – 142 .
   Google Scholar
• Xu , X and Hinduja , S . 1998 . Recognition of rough machining features in 2½D components . Comput.-Aided Des. , 30 : 503 – 516 .
   Web of Science ®Google Scholar
• Yeo , SH , Ngoi , BKA and Chen , H . 1998 . Process sequence optimization based on a new cost–tolerance model . J. Intell. Manuf. , 9 : 29 – 37 .
   Web of Science ®Google Scholar