Geometric error control of workpiece during drilling through optimisation of fixture parameter using a genetic algorithm

References

• Brost, R, and Goldberg, K, A complete algorithm for synthesizing modular fixtures for polygonal parts. Presented at In: Proceedings of IEEE Robotics and Automation. San Diego, CA, 1994, pp.535–542.
   Google Scholar
• Cai, W, Hu, S.J., and Yuan, J., 1996. Deformable sheet metal fixturing: principles, algorithms, and simulation. ASM Journal of Manufacturing Science and Engineering, 118 3, , 318–324.
   Google Scholar
• De Meter, EC, 1998. Fast support layout optimization, International Journal of Machine Tools and Manufacture 38 (10–11) (1998), pp. 1221–1239.
   Web of Science ®Google Scholar
• Deb, K, Genetic algorithm in search and optimization: the technique and applications. Presented at In: Proceedings of International Workshop on Soft Computing and Intelligent Systems. Calcutta, India, 1998, 58–87.
   Google Scholar
• Deb, K, , 1999. An introduction to genetic algorithms. Sadhana Journal, 24 (4–5), 293–315.
   Google Scholar
• Deng, H, , 2006, Analysis and synthesis of fixturing dynamic stability in machining accounting for material removal effect. Thesis (PhD), Georgia Institute of Technology Atlanta.
   Google Scholar
• Hershkovitz, M, Tasch, U, and Teboulle, M, 1996. Towards a mathematical model of the human grasping quality sense, Journal of Robotic Systems 13 (13) (1996), pp. 25–34.
   Google Scholar
• Kim, D, and Ramulu, M, 2004. Drilling process optimization for graphite/bismaleimide-titanium alloys stacks, Composite Structures 63 (1) (2004), pp. 101–114.
   Web of Science ®Google Scholar
• Kim, D, Ramulu, M, and Garbini, J, 2001. Hole quality in drilling of graphite/bismalemidetitanium stacks, In: International SAMPE Technical Conference 33 (2001), pp. 1315–1326.
   Google Scholar
• Kim, D, Ramulu, M, and Pedersen, W, 2005. Machinability of titanium/graphite hybrid composites in drilling, Transactions of NAMRI/SME 33 (1) (2005), pp. 445–452.
   Google Scholar
• Krishnakumar, K, and Melkote, SN, , 2000. Machining fixture layout optimization. International Journal of Machine Tools and Manufacture, 40 (4), 579–598.
   Google Scholar
• Lee, JD, and Haynes, LS, 1987. Finite element analysis of flexible fixturing system, Transactions of the ASME, Journal of Engineering for Industry 109 (2) (1987), p. 134139.
   Google Scholar
• Liao, YJ, Hu, S.J., and Stephenson, D.A., 1998. Fixture layout optimization considering workpiece-fixture contact interaction: simulation results. Transactions of NAMRI/SME, 26 2, , 341–346.
   Google Scholar
• Liu, J, and Strong, D, , 1993. Survey of fixture design automation. Transactions of the CSME, 17 (4A), 585–611.
   Google Scholar
• Menassa, RJ, and DeVries, WR, 1991. Optimization methods applied to selecting support positions in fixture design, Transactions of the ASME, Journal of Engineering for Industry 113 (4) (1991), pp. 412–418.
   Web of Science ®Google Scholar
• Nixon, F, 1971. Managing to achieve quality and reliability. Maidenhead: McGraw-Hill; 1971.
   Google Scholar
• Pong, C-G, , 1994. Optimum fixture layout design. Thesis (PhD), The Pennsylvania State University.
   Google Scholar
• Rajendran, I, and Vijayarangan, S, 2001. Optimal design of composite leaf spring using genetic algorithms, Computers and Structures 79 (11) (2001), pp. 1121–1129.
   Web of Science ®Google Scholar
• Rice, JA, 1988. Mathematical statistics and data analysis. Pacific Grove, CA: Wadsworth & Brooks/Cole Advanced Books & Software; 1988.
   Google Scholar
• Rong, Y, et al., 2001. Locating error analysis and tolerance assignment for computer-aided fixture design, International Journal of Production Research 39 (15) (2001), pp. 3529–3545.
   Web of Science ®Google Scholar
• Sayeed, QA, and De Meter, EC, 1999a. Mixed integer program model fixture layout optimization, ASME Journal of Manufacturing Science and Engineering 121 (4) (1999a), pp. 701–708.
   Web of Science ®Google Scholar
• Sayeed, QA, and De Meter, EC, 1999b. Compliance based MIP model and heuristic for support layout optimization, International Journal of Production Research 37 (6) (1999b), pp. 1283–1307.
   Web of Science ®Google Scholar
• Saturnino, LJM, , 2004. Desenvolvimento de Ferramentas para Definição, Análise e Avaliação de Desempenho de Veículos Automotivos. Thesis (MSc), PUC Minas, Belo Horizonte (in Portuguese).
   Google Scholar
• Shirinzadeh, B, , 1993. Issues in the design of the reconfigurable fixture modules for robotic assembly. Journal of Manufacturing Systems, 12, No.1.
   Google Scholar
• Siva Kumar, K, and Paulraj, G, , 2010. Genetic algorithm based deformation control and clamping force optimisation of workpiece fixture system. International Journal of Production Research, DOI: 10.1080/00207540903499438.
   Google Scholar
• Varma, V, and Tasch, U, 1995. A new representation for robot grasping quality measures, Robotica 13 (3) (1995), pp. 287–295.
   Web of Science ®Google Scholar
• Wang, MY, 2002. Tolerance analysis for fixture layout design, Assembly Automation 2 (2) (2002), pp. 153–162.
   Google Scholar
• Wardak, KR, , 1999. Optimal fixture design for drilling through elastically deforming plates. Thesis (PhD), University of Maryland Baltimore County.
   Google Scholar
• Wardak, KR, Tasch, U, and Charalambides, PG, 2001a. Optimal fixture design for drilling through deformable plate workpieces part I: model formulation, Journal of Manufacturing Systems 20 (1) (2001a), pp. 23–32.
   Web of Science ®Google Scholar
• Wardak, KR, Tasch, U, and Charalambides, PG, 2001b. Optimal fixture design for drilling through deformable plate workpieces part II: Results, Journal of Manufacturing Systems 20 (1) (2001b), pp. 33–43.
   Web of Science ®Google Scholar
• Zhang, W, , Salunk, B., Charalambides, P.G., and Tasch, U., 1995. Optimal fixturing of rigid and deformable bodies. In: Proceedings of 3rd IEEE Mediterranean Symposium of New Directions in Control and Automation, 1, 208–219.
   Google Scholar