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Optimization of Material Turning Operation - A State-of-Art Research Review

Authors(3):

Surinder Kumar, Meenu, P. S. Satsangi
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Machining process optimization not only remains an ongoing activity but is also becoming increasingly important in industry in the drive for reduced cycle time and agile manufacturing. To achieve these goals, one of the considerations is by optimizing the machining process parameters such as the cutting speed, feed rate, tool nose radius, tool rake angle, depth of cut, and cutting environment. Recently, alternative to conventional techniques employed for machining optimization the other techniques include geometric programming, geometric plus linear programming, Non-Linear Programming, goal programming, sequential unconstrained minimization technique and dynamic programming etc. Eleven techniques are considered, namely genetic algorithm (GA), response surface methodology (RSM), simulated annealing (SA), scatter search technique (SS), multiple regression analysis (MRA), particle swarm optimization (PSO), fuzzy logic, Taugchi’s technique, utility concept, artificial neural network (ANN) and ant colony optimization (ACO). This paper provides an overview of these important soft computing techniques and highlights the progress made in this area of modeling of material turning processes.

Surinder Kumar, Meenu, P. S. Satsangi

Machining optimization, genetic algorithm, simulated annealing, scatter search technique, multiple regression analysis, fuzzy logic, Taguchi technique, artificial neural network, utility concept, response surface methodology, ant colony optimization and particle swarm optimization.

  1. An, L. (2011) “Optimal selection of machining parameters for multi-pass turning operations”, Advanced Materials Research, Vol. 156–157, pp. 956–960.
  2. Aggarwal, A. and Singh, H. (2005) “optimization of machining techniques-A retrospective and literature”, Sadhana, Vol. 30, part 6, pp. 699-711.
  3. Bagci, E. and Is?k, B. (2006) “Investigation of surface roughness in turning unidirectional GFRP composites by using RS methodology and ANN”, International Journal Advance Manufacturing Technology, Vol. 31, pp. 10–17.
  4. Chang, C.S. (2006) “Turning of glass fiber reinforced plastics materials with chamfered main cutting edge carbide tools”, Journal of Material Processing Technology, Vol. 180, pp. 117-129.
  5. Chen, M. and Chen, K.Y. (2003) “Determination of optimum machining conditions using scatter search”, New optimization techniques in engineering, pp. 681–697.
  6. Cochran, G. and Cox, G.M. (1962) “Experimental design”, New Delhi: Asia Publishing House.
  7. Davim, J.P. and Mata, F. (2005) “Optimisation of surface roughness on turning fibre reinforced plastics (FRP’s) with diamond cutting tools”, The International Journal of Advanced Manufacturing Technology, Vol. 26, pp. 319–323.
  8. Davim, J.P. and Mata, F. (2007) “New machinability study of glass fibre reinforced plastics using polycrystalline diamond and cemented carbide (K15) tools”, Materials and Design, Vol. 28 pp. 1050-1054.
  9. Davim, J.P. (2009) “Machining Composite Materials”, Wiley-ISTE, London, ISBN: 978-1-84821-103-4.
  10. Douglas, C., Montogomery, Elizabeth, A., Peck and Geoffrey Vining, G. (2001) “Introduction to Linear Regression Analysis”, Arizona State University.
  11. Douglas Montogomery, C. (2005) “Design and Analysis of Experiments: Response surface method and designs. New Jersey: John Wiley and Sons, Inc.
  12. Dorigo, M., and Blum, C. (2005) “Ant colony optimization theory: A survey”, Theoretical Computer Science, Vol. 344, NO. (2–3), pp. 243–278.
  13. Fereirra, J.R., Coppini, N.L. and Levy, Neto. (2001) “Characteristics of carbon–carbon composite turning”, Journal of Materials Processing Technology, Vol. 109, pp. 65–71.
  14. Hussain, S.A., Pandurangadu, V. and Palanikumar, K. (2011) “Machinability of glass fiber reinforced plastic (GFRP) composite materials”, International Journal of Engineering, Science and Technology, Vol. 3, No. 4, pp. 103-118
  15. Hussain, A.S. Yu, X. Q. and Johnson, R.D. (1991) “ Application of neural computing in pharmace utical product development,” pharmace utical research, Vol. 8, ppp. 1248-1252.
  16. Himmel, C.D. and May, G.S. (1991) “Advantages of plasma etch modeling using neural network over statistical techniques”, IEEE Transactions on semiconductor manufacturing, Vol. 6, pp. 103-111.
  17. Isik, B. and Kentli, A. (2009) “Multicriteria optimization of cutting parameters in turning of UD-GFRP materials considering sensitivity, International Journal Advanced Manufacturing Technology, Vol. 44, pp. 1144–1153.
  18. Is?k, B. (2008) “Experimental investigations of surface roughness in orthogonal turning of unidirectional glass-fiber reinforced plastic composites”, International Journal Advance Manufacturing Technology, Vol. 37, pp. 42–48.
  19. Ingber, L. (1993) “practice versus theory”, Mathematical Computer modelling, 18, No. 11, pp. 29-57.
  20. Kini, M.V., Chincholkar, A.M. (2010) “Effect of machining parameters on surface roughness and material removal rate in finish turning of ± 30? glass fibre reinforced polymer pipes”, Material and Design, Vol. 31, pp. 3590-3598.
  21. Kuriakose, S., Shunmugam, M.S. (2005) “Multi-objective optimization of wire-electro discharge machining process by non-dominated sorting genetic algorithm”, Journal of Materials Processing Technology, Vol. 170, pp. 133-141.
  22. Liu, Jia-Ming, Lu, Po-Yen, Weng, Wen-Kou, (2001) “Studies on modification of ITO surfaces in OLED devices by taguchi’s methods”.
  23. Meenu, Surinder Kumar, (2013) “Multi-objective optimization of cutting forces in turning of UD-GFRP Composite using Taguchi grey relational analysis,” Journal of Mechanical Engineering, Vol. 123, pp.166-177
  24. Meenu, Surinder Kumar, (2013) “Prediction of surface roughness in turning of UD-GFRP using Artifical Neural Network,” Mechanica Confab, Vol. 2, Issue 3, pp.46-56.
  25. Meenu Gupta, Surinder Kumar, (2013) “Multi-objective optimization of cutting parameters in turning using grey relational analysis, International Journal of Industrial Engineering Computations. Vol. 4, pp. 547–558.
  26. Naveen Sait, A., Aravindan, S. and Noorul Haq, A. “Influence of machining parameters on surface roughness of GFRP pipes”, Advance in Production Engineering & Management, Vol. 4, pp. 47-58.
  27. Palanikumar, K. (2007) “Modeling and analysis for surface roughness in machining glass fibre reinforced plastics using response surface methodology”, Material and Design, Vol. 28, pp. 2611-2618
  28. Palanikumar, K., Mata, F. and Davim, J.P. (2008) “Analysis of surface roughness parameters in turning of FRP tubes by PCD tool”, Journal of Materials Processing technology, Vol. 204, pp. 469–474.
  29. Palanikumar, K. (2008) “Application of Taguchi and response surface methodologies for surface roughness in machining glass fibre reinforced plastics by PCD tooling”, International Journal Advance Manufacturing Technology, Vol. 36, pp. 19–27.
  30. Palanikumar, K., Latha, B., Senthilkumar, V.S. and Karthikeyan, R., (2009) “Multiple performance optimization in machining of GFRP composites by a PCD tool using non-dominated sorting genetic algorithm (NSGA-II)”, Met. Mater. Int., Vol. 15, No. 2, pp. 249-258.
  31. Parveen Raj, P., Elaya Perumal, A. and Ramu, P. (2012) “Prediction of surface roughness and delamination in end milling of GFRP using mathematical model and ANN”, Indian journal of engineering & materials sciences, Vol. 19, pp. 107-120.
  32. Phadke, S.M. (1989) “Quality engineering using robust design”, Prentice Hall, Englewood Cliffs, New Jersey.
  33. Pwu, H.Y. and Ho-Cheng, H. (1998) “Chip formation model of cutting fibre reinforced plastics perpendicular to fibre axis”, Journal Manufacturing Science Engineering, Vol. 120, pp. 192±196.
  34. Rajasekaran, T., Palanikumar, K., Vinayagam, B.K. and Prakash, S. (2010) “Influence of Machining Parameters on Surface Roughness and Material Removal Rate in Machining Carbon Fiber Reinforced Polymer Material”, IEEE, pp. 75-80.
  35. Rajasekaran, T., Palanikumar, K. and Vinayagam, B.K. (2011) “Application of fuzzy logic for modeling surface roughness in turning CFRP composites using CBN tool”, Production Engineering Res. Deve., Vol. 5, pp. 191–199.
  36. Rao, G.V.G., Mahajan, P. and Bhatnagar, N. (2007) “Micro-mechanical modeling of machining of FRP composites cutting force analysis”, Composite Science Technology, Vol. 67, pp. 579–593.
  37. Santhanakrishnan, G., Krishnamurthy, R. and Malhotra S.K. (1989) “High speed steel tool wear studies in machining of glass fibre-reinforced plastics”, wear, Vol. 132, pp. 327-336.
  38. Sakuma, By Keizo and Seto Masafumi (1983) “Tool wear in cutting glass fiber reinforced plastics (the relation between fiber orientation and tool wear)”, Bulletin of the JSME, Vol. 26, No. 218, pp. 1420-1427.
  39. Singh, I. and Bhatnagar, N. (2006) “Drilling of uni-directional glass fiber reinforced plastic (UD-GFRP) composite laminates”, International Journal Advance Manufacturing Technology, Vol. 27, No. 9-10, pp. 870–876.
  40. Singh, S., Shan, H.S. and Kumar, P. (2002) “Parametric optimization of magnetic-field assisted abrasive flow machining by the Taguchi method”. Quality Reliability Engineering Int., Vol. 18, pp 273–283.
  41. Surinder Kumar, Meenu, P.S. Satsangi and H.K.. Sardana, (2012) “Multiple regression model for cutting force in turning UD-GFRP using polycrystalline diamond cutting tool”. International Journal of Advanced Engineering Technology, Vol. 3, Issue 1, pp. 108-112.
  42. Surinder Kumar, Meenu, P.S. Satsangi and H.K. Sardana, (2012) “Optimization of surface roughness in turning unidirectional glass fiber reinforced plastics (UD-GFRP) composites using polycrystalline diamond (PCD) cutting tool”. Indian Journal of Engineering & materials sciences, Vol. 19, pp. 163-174.
  43. Surinder Kumar, Meenu, P.S. Satsangi, (2013) “Multiple performance optimization in machining of UD-GFRP composites by a PCD tool using distance – based Pareto genetic algorithm (DPGA), Vol. 2, Issue 2, pp. 49-62.
  44. Surinder Kumar, Meenu, P.S. Satsangi, (2013) “Optimization of surface roughness in turning unidirectional glass fiber reinforced plastic (UD-GFRP) composite using carbide (k10) cutting tool, Asian academic research journal of multidisciplinary, Vol. 1, Issue 9, pp.105-128.
  45. Wang, D.H., Ramulu, M. and Arola, D. (1995) “Orthogonal cutting mechanisms of graphite/epoxy composites. Part I. Unidirectional laminate”, International Journal Machine Tools Manufacture, Vol. 35, No. 12, pp. 1623±1638.
  46. Wang, X. M. and Zhang, L. C. (2003) “An experimental investigation into the orthogonal cutting of unidirectional fibre reinforced plastics”, International Journal Machine Tools Manufacturing, Vol. 43, No. 10, pp. 1015–1022.
  47. William, L., Goffe Gary D. and Ferrier, John Rogers, “Global optimization of statistical functions with simulated annealing”, 1993, pp.1-39.
  48. Zadeh, L.A., (1965) “Fuzzy set”, Information and Control, Vol. 8, pp. 338-353.

Publication Details

Published in : Volume 2 | Issue 6 | November-December - 2016
Date of Publication Print ISSN Online ISSN
2016-12-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
381-390 IJSRSET162671   Technoscience Academy

Cite This Article

Surinder Kumar, Meenu, P. S. Satsangi, "Optimization of Material Turning Operation - A State-of-Art Research Review", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.381-390, November-December-2016.
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