Computer-aided optimization of multi-pass turning operations for continuous forms on CNC lathes
Tóm tắt
The Computer Numerical Control (CNC) machine is one of the most effective production facilities used in manufacturing industry. Determining the optimal machining parameters is essential in the machining process planning since the machining parameters significantly affect production cost and quality of machined parts. Previous studies involving machining optimization of turning operations concentrated primarily on developing machining models for bar components. Machined parts on the CNC lathes, however, typically have continuous forms. In this study, we formulate an optimization model for turned parts with continuous forms. Also, a stochastic optimization method based on the simulated annealing algorithm and the pattern search is applied to solve this machining optimization problem. Finally, the applications of the developed machining model and the proposed optimization algorithm are established through the numerical examples.
Tài liệu tham khảo
Agapiou, J.S. (1992) The optimization of machining operations based on a combined criterion, part 1: the use of combined objectives in single-pass operations. Transaction of the ASME, Journal of Engineering for Industry, 114(4), 500–507.
Agapiou, J.S. (1992) The optimization of machining operations based on a combined criterion, part 2: multi-pass operations. Transaction of the ASME, Journal of Engineering for Industry, 114(4), 508–513.
Bhattacharyya, A., Faria-Gonzalez, R. and Ham, I. (1970) Regression analysis for predicting surface finish and its applications in the determination of optimum machining conditions. Transactions of the ASME, Journal of Engineering for Industry, 92(3), 711–714.
Boothroyd, G. and Rusek, P. (1976) Maximum rate of profit criteria in machining. Transactions of the ASME, Journal of Engineering for Industry, 98 (1), 217–220.
Ermer, D.S. (1971) Optimization of the constrained machining economics problem by geometric programming. Transactions of the ASME, Journal of Engineering for Industry, 93(4), 1067–1072.
Ermer, D.S. and Kromodihardjo, S. (1981) Optimization of multipass turning with constraints. Transactions of the ASME, Journal of Engineering for Industry, 103(4), 462–468.
Gupta, R., Batra, J.L. and Lal, G.K. (1994) Profit rate maximi-zation in multipass turning with constraints: a geometric programming approach. International Journal of Production Research, 32(7), 1557–1569.
Hati, S.K. and Rao, S.S. (1976) Determination of optimum ma-chining conditions-deterministic and probabilistic approaches. Transactions of the ASME, Journal of Engineering for Industry, 98(1), 354–359.
Kee, P.K. (1994) Development of computer-aided machining optimization for multi-pass rough turning operations. International Journal of Production Economics, 37(2), 215–227.
Mesquita, R., Krasteva, E. and Doytchinov, S. (1995) Computer-aided selection of optimum parameters in multipass turning. International Journal of Advanced Manufacturing Technology, 10(1), 19–26.
Narang, R.V. and Fischer, G.W. (1993) Development of a framework to automate process planning functions and to deter-mine machining parameters. International Journal of Production Research, 31(8), 1921–1942.
Philipson, R.H. and Ravindran, A. (1979) Application of math-ematical programming to metal cutting. Mathematical Programming Study, 11, 116–134.
Shin, Y.C. and Joo, Y.S. (1992) Optimization of machining conditions with practical constraints. International Journal of Production Research, 30(12), 2907–2919.
Sundaram, A.M. (1978) An application of goal programming technique in metal cutting. International Journal of Production Research, 16, 375–382.
Tan, F.P. and Creese, R.C. (1995) A generalized multi-pass ma-chining model for machining parameter selection in turning. International Journal of Production Research, 33(5), 1467–1487.
Chang, T.C., Wysk, R.A. and Wang, H.P. (1991) Computer-aided Manufacturing, Prentice-Hall, Englewood Cliffs, NJ.
Metropolis, N., Rosenbluth, A., Rosenbluth, M., Teller, A. and Teller, E. (1953) Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092.
Kirkpatrick, S., Gelatt, Jr, C.D. and Vecchi, M.P. (1983) Optimization by simulated annealing. Science, 220, 671–680.
Hooke, R. and Jeeves, T.A. (1961) A direct search solution of numerical and statistical problem. Journal of ACM, 8, 212–219.
Rutenbar, R.A. (1989) Simulated annealing algorithm: an overview. IEEE Circuits and Device Magazine, 5(1), 19–26.
van Laarhoven, P.J.M. and Aarts, E.H.L. (1987) Simulated Annealing: Theory and Applications, Reidel, Dordrecht, Holland.
Ignizio, J.P. (1976) Goal Programming and Extensions, Lexington Books, Boston MA.
Armarego, E.J.A. and Brown, R.H. (1969) The Machining of Metal, Prentice-Hall, Englewood Cliffs, NJ.
FANUC System 6T Model B Operator' Manual. (1983) FANUC Japan Ltd., Tokyo.
Lin, S.C.J. (1994) Computer Numerical Control From Programming to Networking, Delmar Publisher Inc. Albany, NY.
Lee, J.W. (1988) A study on the determination of actual cutting time in NC turning. International Journal of Production Research, 26(9), 1547–1559.
Koulamas, C., Antony, S.R. and Jaen, R. (1994) A survey of sim-ulated annealing applications to operations research problems. Omega, International Journal of Management Science, 22(1), 41–56.
Corana, A., Marchesi, M., Martini, C. and Ridella, S. (1987) Minimizing multimodal functions of continuous variables with the simulated annealing algorithm. ACM Transactions on Mathematical Software, 13(3), 262–280.
Hajeck, B. (1988) Cooling schedules for optimal annealing. Mathematics of Operations Research, 13(2), 311–329.
Collins, N.E., Egless, R.W. and Golden, B.L. (1988) Simulated annealing-an annotated bibliography. American Journal of Mathematical and Management Science, 8(3), 209–307.
Johnson, D.S., Aragon, C.R., McGeoch, L.A. and Schevon, C. (1989) Optimization by simulated annealing: an experimental evaluation; part I, graph partitioning. Operations Research, 37(6), 865–892.
Jeffcoat, D.E. and Bulfin, R.L. (1993) Simulated annealing for resource-constrained scheduling. European Journal of Operational Research, 70(1), 43–51.
Souilah, A. (1995) Simulated annealing for manufacturing systems layout design. European Journal of Operational Research, 82(3), 592–614.