How to cite this paper
Chandgude, S., Pawar, P & Sadaiah, M. (2015). Process parameter optimization based on principal components analysis during machining of hardened steel.International Journal of Industrial Engineering Computations , 6(3), 379-390.
References
Aggarwal, S., & Xirouchakis, P. (2013). Selection of optimal cutting conditions for pocket milling using genetic algorithm. The International Journal of Advanced Manufacturing Technology, 66(9-12), 1943-1958.
Brezocnik, M., & Kovacic, M. (2003). Integrated genetic programming and genetic algorithm approach to predict surface roughness. Materials and Manufacturing Processes, 18, 475-491.
Cho, K. T., Song, K., Oh, S. H., Lee, Y. K., & Lee, W. B. (2014). Enhanced surface hardening of AISI D2 steel by atomic attrition during Ion Nitriding. 251, 115-121.
Conci, M. P., Bozzi, A. C., & Franco Jr, A. R. (2014). Effect of plasma Nitriding potential on tribological bhaviour of AISI D2 cold-worked tool steel. Wear, 317, 188-193.
Corso, L. L., Zeilmann, R. P., Nicola, G. L., Missell, F. P., & Gomes, H. M. (2013). Using optimization procedures to minimize machining time while maintaining surface quality. The International Journal of Advanced Manufacturing Technology, 65(9-12), 1659-1667.
Farahnakian, M., Razfar, M. R., Moghri, M., & Asadnia, M. (2011). The selection of milling parameters by the PSO based neural network modeling method. 57, 49-60.
Gaitonde, V. N., Karnik, S. R., Figueira, L., & Davim, J. P. (2009). Machinability investigations in hard turning of AISI D2 cold work tool steel with conventional and wiper ceramic inserts. International Journal of Refractory Metals and Hard Materials, 27(4), 754-763.
Gao, L., Huang, J., & Li, X. (2012). An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process. Applied Soft Computing, 12(11), 3490-3499.
Gopalsamy, B. M., Mondal, B., & Ghosh, S. (2009). Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA. The International Journal of Advanced Manufacturing Technology, 45(11-12), 1068-1086.
Hindus, S. J., Kumar, S. H., Arockiyaraj, S. X., Kannan, M. V., & Kuppan, P. (2014). Experimental investigation on laser assisted surface tempering of AISI D2 tool steel. Procedia Engineering, 97, 1489-1495.
Huallpa, E. A., Sanchez, J. C., Padovese, L. R., & Goldenstein, H. (2013). Determining Ms temperature on a AISI D2 cold work tool steel using magnetic barkhausen noise. Journal of Alloys and Compounds, 577S, S726-S730.
Krishna, A. G., & Rao, K. M. (2006). Optimization of machining parameters for milling machine operations using a scatter search approach. International Journal of Advanced Manufacturing Technology, 31, 219-224.
Lu, H. S., Chang, C. K., Hwang, N. C., & Chung, C. T. (2009). Grey relational analysis coupled with principal component analysis for optimization design of the cutting parameters in high speed end milling. Journal of Materials Process Technology, 209, 3808-3817.
Oliveira, C. K., Casteletti, l. C., Neto, L., Totten, G. E., & Heck, S. C. (2010). Production and characterization of boride layers on AISI D2 tool steel. Vacuum, 84, 792-796.
Othmani, R., Hbaieb, M., & Bouzid, W. (2011). Cutting parameter optimization in NC milling. International Journal of Advanced Manufacturing Technology, 54, 1023-1032.
Pawar, P. J., & Rao, R. V. (2013). Parameter optimization of machining processes using teaching–learning-based optimization algorithm. The International Journal of Advanced Manufacturing Technology, 67(5-8), 995-1006.
Prakasvidhisarn, C., Kunnapapdeelert, S., & Yenradee, P. (2009). Optimal cutting condition determination for desired surface roughness in end milling. International Journal of Advanced Manufacturing Technology, 41, 440-451.
Premnath, A., Alwarsmy, T., & Rajmohan, T. (2012). Experimental investigation and optimization of process parameters in milling of hybrid metal matrix composites. Materials and Manufacturing Processes, 27, 1035-1044.
Rao, R., & Pawar, P. (2010). Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms. Applied Soft Computing, 10, 445-456.
Routara, B. C., Bandyopadhyay, A., & Sahoo, P. (2009). Roughness modeling and optimization in CNC end milling using response surface method: Effect of workpiece material variation. International Journal of Advanced Manufacturing Technology.
Shie, J. R. (2006). Optimization of dry machining parameters for high-purity graphite in end milling process by artificial neural networks: A case study. Materials and Manufacturing Processes, 21, 838-845.
Srithar, A., Palanikumar, K., & Durgaprasad, B. (2014). Experimental investigation and surface roughness analysis on hard turning of AISI D2 steel using coated carbide inserts. Procedia Engineering, 97, 72-77.
Tosun, N., & Pihtili, H. (2010). Grey relational analysis of performance characteristics in MQL millin of 7075 Al Alloy. International Journal of Advanced Manufacturing Technology, 46, 509-515.
Tsao, C. C. (2009). Grey-taguchi method to optimize the milling parameters of Alluminium alloy. International Journal of Advanced Manufacturing Technology, 45, 41-48.
Wang, Z. G., Wong, Y. S., Rahman, M., & Sun, J. (2006). Multi-objective optimization of high speed milling with parallel genetic simulated annealing. International Journal of Advanced Manufacturing Technology, 31, 209-218.
Yang, W., Guo, Y., & Liao, W. (2011). Multi-objective optimization of multi-pass face milling using particle swarm intelligence. International Journal of Advanced Manufacturing Technology, 56, 429-443.
Yang, Y. K., Shie, J. R., & Huang, C. H. (2006). Optimzation of dry machinig parameters for high purity graphite in end milling process. Materials and Manufacturing Processes, 21, 832-837.
Yildiz, A. R. (2013). Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. The International Journal of Advanced Manufacturing Technology, 64(1-4), 55-61.
Zarei, O., Fesanghary, M., Farshi, B., Saffar, R. J., & Razfar, M. R. (2009). Optimizaton of multi-pass face milling via harmony search algorithm. Journal of Materials Process Technology, 209, 2386-2392.
Zhang, K. M., Zou, J. X., Bolle, B., & Grosdidier, T. (2013). Evolution of residual stress states in surface layers of an AISI D2 steel treated by low energy high current pulsed electron beam. Vacuum, 87, 60-68.
Zhuzhou Cemented Carbide Cutting Tools Co., L. (2011). JM series Solid Carbide End Mills. JIS standard, China.
Brezocnik, M., & Kovacic, M. (2003). Integrated genetic programming and genetic algorithm approach to predict surface roughness. Materials and Manufacturing Processes, 18, 475-491.
Cho, K. T., Song, K., Oh, S. H., Lee, Y. K., & Lee, W. B. (2014). Enhanced surface hardening of AISI D2 steel by atomic attrition during Ion Nitriding. 251, 115-121.
Conci, M. P., Bozzi, A. C., & Franco Jr, A. R. (2014). Effect of plasma Nitriding potential on tribological bhaviour of AISI D2 cold-worked tool steel. Wear, 317, 188-193.
Corso, L. L., Zeilmann, R. P., Nicola, G. L., Missell, F. P., & Gomes, H. M. (2013). Using optimization procedures to minimize machining time while maintaining surface quality. The International Journal of Advanced Manufacturing Technology, 65(9-12), 1659-1667.
Farahnakian, M., Razfar, M. R., Moghri, M., & Asadnia, M. (2011). The selection of milling parameters by the PSO based neural network modeling method. 57, 49-60.
Gaitonde, V. N., Karnik, S. R., Figueira, L., & Davim, J. P. (2009). Machinability investigations in hard turning of AISI D2 cold work tool steel with conventional and wiper ceramic inserts. International Journal of Refractory Metals and Hard Materials, 27(4), 754-763.
Gao, L., Huang, J., & Li, X. (2012). An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process. Applied Soft Computing, 12(11), 3490-3499.
Gopalsamy, B. M., Mondal, B., & Ghosh, S. (2009). Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA. The International Journal of Advanced Manufacturing Technology, 45(11-12), 1068-1086.
Hindus, S. J., Kumar, S. H., Arockiyaraj, S. X., Kannan, M. V., & Kuppan, P. (2014). Experimental investigation on laser assisted surface tempering of AISI D2 tool steel. Procedia Engineering, 97, 1489-1495.
Huallpa, E. A., Sanchez, J. C., Padovese, L. R., & Goldenstein, H. (2013). Determining Ms temperature on a AISI D2 cold work tool steel using magnetic barkhausen noise. Journal of Alloys and Compounds, 577S, S726-S730.
Krishna, A. G., & Rao, K. M. (2006). Optimization of machining parameters for milling machine operations using a scatter search approach. International Journal of Advanced Manufacturing Technology, 31, 219-224.
Lu, H. S., Chang, C. K., Hwang, N. C., & Chung, C. T. (2009). Grey relational analysis coupled with principal component analysis for optimization design of the cutting parameters in high speed end milling. Journal of Materials Process Technology, 209, 3808-3817.
Oliveira, C. K., Casteletti, l. C., Neto, L., Totten, G. E., & Heck, S. C. (2010). Production and characterization of boride layers on AISI D2 tool steel. Vacuum, 84, 792-796.
Othmani, R., Hbaieb, M., & Bouzid, W. (2011). Cutting parameter optimization in NC milling. International Journal of Advanced Manufacturing Technology, 54, 1023-1032.
Pawar, P. J., & Rao, R. V. (2013). Parameter optimization of machining processes using teaching–learning-based optimization algorithm. The International Journal of Advanced Manufacturing Technology, 67(5-8), 995-1006.
Prakasvidhisarn, C., Kunnapapdeelert, S., & Yenradee, P. (2009). Optimal cutting condition determination for desired surface roughness in end milling. International Journal of Advanced Manufacturing Technology, 41, 440-451.
Premnath, A., Alwarsmy, T., & Rajmohan, T. (2012). Experimental investigation and optimization of process parameters in milling of hybrid metal matrix composites. Materials and Manufacturing Processes, 27, 1035-1044.
Rao, R., & Pawar, P. (2010). Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms. Applied Soft Computing, 10, 445-456.
Routara, B. C., Bandyopadhyay, A., & Sahoo, P. (2009). Roughness modeling and optimization in CNC end milling using response surface method: Effect of workpiece material variation. International Journal of Advanced Manufacturing Technology.
Shie, J. R. (2006). Optimization of dry machining parameters for high-purity graphite in end milling process by artificial neural networks: A case study. Materials and Manufacturing Processes, 21, 838-845.
Srithar, A., Palanikumar, K., & Durgaprasad, B. (2014). Experimental investigation and surface roughness analysis on hard turning of AISI D2 steel using coated carbide inserts. Procedia Engineering, 97, 72-77.
Tosun, N., & Pihtili, H. (2010). Grey relational analysis of performance characteristics in MQL millin of 7075 Al Alloy. International Journal of Advanced Manufacturing Technology, 46, 509-515.
Tsao, C. C. (2009). Grey-taguchi method to optimize the milling parameters of Alluminium alloy. International Journal of Advanced Manufacturing Technology, 45, 41-48.
Wang, Z. G., Wong, Y. S., Rahman, M., & Sun, J. (2006). Multi-objective optimization of high speed milling with parallel genetic simulated annealing. International Journal of Advanced Manufacturing Technology, 31, 209-218.
Yang, W., Guo, Y., & Liao, W. (2011). Multi-objective optimization of multi-pass face milling using particle swarm intelligence. International Journal of Advanced Manufacturing Technology, 56, 429-443.
Yang, Y. K., Shie, J. R., & Huang, C. H. (2006). Optimzation of dry machinig parameters for high purity graphite in end milling process. Materials and Manufacturing Processes, 21, 832-837.
Yildiz, A. R. (2013). Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. The International Journal of Advanced Manufacturing Technology, 64(1-4), 55-61.
Zarei, O., Fesanghary, M., Farshi, B., Saffar, R. J., & Razfar, M. R. (2009). Optimizaton of multi-pass face milling via harmony search algorithm. Journal of Materials Process Technology, 209, 2386-2392.
Zhang, K. M., Zou, J. X., Bolle, B., & Grosdidier, T. (2013). Evolution of residual stress states in surface layers of an AISI D2 steel treated by low energy high current pulsed electron beam. Vacuum, 87, 60-68.
Zhuzhou Cemented Carbide Cutting Tools Co., L. (2011). JM series Solid Carbide End Mills. JIS standard, China.