Multi-pass turning process parameter optimization using teaching-learning-based optimization algorithm

Scientia Iranica

Volumn 20, Issue 3, 2013, Pages 967-974

  Rao, R Venkata ^a   Kalyankar, V D ^a  

^a SARDAR VALLABHBHAI NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Multi pass turning process; Parameter optimization; Teaching learning based optimization algorithm

Indexed keywords

ANT COLONY OPTIMIZATION; CONSTRAINED OPTIMIZATION; GENETIC ALGORITHMS; LEARNING ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); SIMULATED ANNEALING; TURNING;

MULTI-OBJECTIVE PROBLEM; MULTI-PASS TURNING; MULTI-PASS TURNING OPERATION; OPTIMIZATION ALGORITHMS; OPTIMIZATION TECHNIQUES; PARAMETER OPTIMIZATION; PROCESS PARAMETER OPTIMIZATION; TEACHING-LEARNING-BASED OPTIMIZATIONS;

PARAMETER ESTIMATION;

ALGORITHM; ANNEALING; CUTTING; LEARNING; OPTIMIZATION; TEACHING;

EID: 84883185823     PISSN: 10263098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scient.2013.01.002     Document Type: Article

References (50)

1. Chua, M.S., Loh, H.T., Wong, Y.S. and Rahman, M. Optimization of cutting conditions for multi-pass turning operations using sequential quadratic programming, J. Mater. Process. Technol., 28, pp. 253-262 (1991)
2. Gopalakrishnan, B. and Faiz, A.K. Machine parameter selection for turning with constrains: an analytical approach based on geometric programming, Int. J. Prod. Res., 29(9), pp. 1897-1908 (1991)
3. Shin, Y.C. and Joo, Y.S. Optimization of machining conditions with practical constraints, Int. J. Prod. Res., 30(12), pp. 2907-2919 (1992)
4. Wang, J.A. Neural network approach to multiple-objective cutting parameter optimization based on fuzzy preference information, Comput. Ind. Eng., 25, pp. 389-392 (1993)
5. Gupta, R., Baaa, I.L. and Lal, G.K. Determination of optimal subdivision of depth of cut in multi-pass turning with constrains, Int. J. Prod. Res., 33(9), pp. 2555-2565 (1995)
6. Chen, M.C. and Tsai, D.M. A simulated annealing approach for optimization of multi-pass turning operations, Int. J. Prod. Res., 34(10), pp. 2803-2825 (1996)
7. Kee, P.K. Development of constrained optimization analyses and strategies for multi-pass rough turning operations, Int. J. Mach. Tools Manuf., 36, pp. 115-127 (1996)
8. Prasad, A.V.S.R.K., Rao, P.N. and Rao, U.R.K. Optimal selection of process parameters for turning operations in a CAPP system T7, Int. J. Prod. Res., 35(6), pp. 1495-1522 (1997)
9. Yang, W.H. and Tarng, Y.S. Design optimization of cutting parameters for turning operations based on the Taguchi method, J. Mater. Process. Technol., 84, pp. 122-129 (1998)
10. Nian, C.Y., Yang, W.H. and Tarng, Y.S. Optimization of turning operations with multiple performance characteristics, J. Mater. Process. Technol., 95, pp. 90-96 (1999)
11. Alberti, N. and Perrone, G. Multi-pass machining optimization by using fuzzy possibilistic programming and genetic algorithms, Proc. Inst. Mech. Eng., J. Eng. Manuf., 213, pp. 261-273 (1999)
12. Arezzo, B., Ridgway, K. and Al-Ahmari, A.M.A. Selection of cutting tools and conditions of machining operations using an expert system, Comput. Ind., 42, pp. 43-58 (2000)
13. Dereii, T., Filiz, I.H. and Baykasoglu, A. Optimizing cutting parameters in process planning of prismatic parts by using genetic algorithms, Int. J. Prod. Res., 39(15), pp. 3303-3328 (2001)
14. Onwubolu, G.C. and Kumalo, T. Optimization of multi-pass turning operations with genetic algorithm, Int. J. Prod. Res., 39(16), pp. 3727-3745 (2001)
15. Chen, M.C. and Chen, K.Y. Optimization of multi-pass turning operations with genetic algorithms: a note, Int. J. Prod. Res., 41(14), pp. 3385-3388 (2003)
16. Al-Ahmari, A.M.A. Mathematical model for determining machining parameters in multi-pass turning operations with constraints, Int. J. Prod. Res., 39(15), pp. 3367-3376 (2001)
17. Wang, X., Da, Z.J., Balaji, A.K. and Jawahir, I.S. Performance-based optimal selection of cutting conditions and cutting tools in multi-pass turning operations using genetic algorithms, Int. J. Prod. Res., 40(9), pp. 2053-2065 (2002)
18. Vijayakumar, K., Prabhaharan, G., Asokan, P. and Saravanan, R. Optimization of multi-pass turning operations using ant colony system, Int. J. Mach. Tools Manuf., 43(15), pp. 1633-1639 (2003)
19. Wang, Y.C. A note on optimization of multi-pass turning operations using ant colony system, Int. J. Mach. Tools Manuf., 47, pp. 2057-2059 (2007)
20. Wassila, B. Cutting parameter optimization to minimize production time in high speed turning, J. Mater. Process. Technol., 161, pp. 388-395 (2005)
21. Wang, X. and Jawahir, I.S. Optimization of multi-pass turning operations using genetic algorithms for the selection of cutting conditions and cutting tools with tool-wear effect, Int. J. Prod. Res., 43, pp. 3543-3559 (2005)
22. Sardinas, R.Q., Santana, M.R. and Brindis, E.A. Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes, Eng. Appl. Artif. Intell., 19, pp. 127-133 (2006)
23. Abburi, N.R. and Dixit, U.S. Multi-objective optimization of multi-pass turning processes, Int. J. Adv. Manuf. Technol., 32, pp. 902-910 (2007)
24. Yildiz, A.R. Hybrid Taguchi-harmony search algorithm for solving engineering optimization problems, Int. J. Ind. Eng.-Theory, 15(3), pp. 286-293 (2008)
25. Ojha, D.K., Dixit, U.S. and Davim, J.P. A soft computing based optimization of multi-pass turning processes, Int. J. Mater. Prod. Technol., 35, pp. 145-166 (2009)
26. Srinivas, J., Giri, R. and Yang, S.H. Optimization of multi-pass turning using particle swarm intelligence, Int. J. Adv. Manuf. Technol., 40, pp. 56-66 (2009)
27. Kim, S.S., Kim, I.H., Mani, V. and Kim, H.J. Real-coded genetic algorithm for machining condition optimization, Int. J. Adv. Manuf. Technol., 38, pp. 884-895 (2008)
28. Tzeng, C.J., Lin, Y.H., Yang, Y.K. and Jeng, M.C. Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis, J. Mater. Process. Technol., 209, pp. 2753-2759 (2009)
29. Yildiz, A.R. A novel particle swarm optimization approach for product design and manufacturing, Int. J. Adv. Manuf. Technol., 40, pp. 617-628 (2009)
30. Zheng, L.Y. and Ponnambalam, S.G. A hybrid GA-AIS heuristic for optimization of multi-pass turning operations, In ICIRA (Part II), In LNAI, 6425, pp. 599-611, (2010)
31. Ilhan, A. and Mehmet, C. Modelling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method, Expert Syst. Appl., 38(5), pp. 5826-5832 (2011)
32. Suleyman, N., Suleyman, Y. and Erol, T. Optimization of tool geometry parameters for turning operations based on the response surface methodology, Measurement, 44(3), pp. 580-587 (2011)
33. Rao, R.V., Savsani, V.J. and Vakharia, D.P. Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems, Comput. Aided Des., 43, pp. 303-315 (2011)
34. Rao, R.V., Savsani, V.J. and Vakharia, D.P. Teaching-learning-based optimization: An optimization method for continuous non-linear large scale problem, Inform. Sci., 183, pp. 1-15 (2012)
35. Rao, R.V. and Savsani, V.J., Mechanical Design Optimization Using Advanced Optimization Techniques, Springer-Verlag, London (2012)
36. Rao, R.V. and Patel, V. An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems, Int. J. of Ind. Eng. Comput., 3(4), pp. 535-560 (2012)
37. Niknam, T., Fard, A.K. and Baziar, A. Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants, Energy, 42, pp. 563-573 (2012)
38. Niknam, T., Abarghooee, R.A. and Narimani, M.R. An efficient scenariobased stochastic programming framework for multi-objective optimal micro-grid operation, Appl. Energy, 99, pp. 455-470 (2012)
39. Niknam, T., Abarghooee, R.A. and Narimani, M.R. A new multi objective optimization approach based on TLBO for location of automatic voltage regulators in distribution systems, Eng. Appl. Artif. Intell., (2012), http://dx.doi.org/10.1016/j.engappai.2012.07.004
40. Niknam, T., Golestaneh, F. and Sadeghi, M.S. -multiobjective teaching-learning-based optimization for dynamic economic emission dispatch, IEEE Syst. J., 6(2), pp. 341-352 (2012)
41. Krishnanand, K.R., Panigrahi, B.K., Rout, P.K. and Mohapatra, A. Application of multi-objective teaching-learning-based algorithm to an economic load dispatch problem with incommensurable objectives, In SEMCCO (2011) Part I, In LNCS, 7076, pp. 697-705, (2011)
42. Satapathy, S.C., Naik, A. and Parvathi, K. 0-1 integer programming for generation maintenance scheduling in power systems based on teaching learning based optimization (TLBO), Commun. Comput. Inf. Sci., 306(2), pp. 53-63 (2012)
43. Togan, V. Design of planar steel frames using teaching-learning based optimization, Eng. Struct., 34, pp. 225-232 (2012)
44. Satapathy, S.C. and Naik, A. Data clustering based on teaching-learningbased optimization, In SEMCCO 2011, Part II, In LNCS, 7077, pp. 148-156, (2011)
45. Rao, R.V. and Kalyankar, V.D. Parameter optimization of machining processes using a new optimization algorithm, Mater. Manuf. Process., 27(9), pp. 978-985 (2012)
46. Rao, R.V. and Kalyankar, V.D. Multi-objective multi-parameter optimization of the industrial LBW process using a new optimization algorithm, Proc. Inst. Mech. Eng., J. Eng. Manuf., 226(6), pp. 1018-1025 (2012)
47. Rao, R.V. and Kalyankar, V.D. Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm, Eng. Appl. Artif. Intell., (2012), http://dx.doi.org/10.1016/j.engappai.2012.06.007
48. Rao, R.V. and Patel, V. Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm, Appl. Math. Model., (2012), http://dx.doi.org/10.1016/j.apm.2012.03.043
49. Rao, R.V. and Patel, V. Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm, Eng. Appl. Artif. Intell., (2012), http://dx.doi.org/10.1016/j. engappai.2012.02.016
50. Crepinsek, M., Liu, S.H. and Mernik, L. A note on teaching-learning-based optimization algorithm, Inform. Sci., 212, pp. 79-93 (2012)