How to cite this paper
Sahoo, A & Mohanty, T. (2013). Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation.International Journal of Industrial Engineering Computations , 4(3), 325-336.
Refrences
Aggarwal, A., Singh, H., Kumar, P., & Singh, M. (2008). Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique-A comparative analysis. Journal of materials processing technology, 200, 373-384.
Davim, J. P. (2001). A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. Journal of materials processing technology, 116, 305-308.
Davim, J. P. (2003) Design of optimization of cutting parameters for turning metal matrix composites based on the orthogonal arrays. Journal of materials processing technology, 132, 340-344.
Daniel Kirby, E., Zhang, Z., Chen, J. C., & Chen, J. (2006). Optimizing surface finish in a turning operation using the Taguchi parameter design method. International Journal of Advanced Manufacturing Technology, 30, 1021-1029.
Dhar, N. R., Kamruzzaman, M., & Mahiuddin, A. (2006). Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel. Journal of materials processing technology, 172, 299-304.
Gauri, S. K., & Chakraborty, S. (2009). Multi-response optimization of WEDM process using principal component analysis. International Journal of Advanced Manufacturing Technology, 41, 741–748.
Jayant, A. (2008) Prediction of surface roughness in CNC turning operation using Taguchi design of experiments. IE (I)-PR, 88, 19-25.
Nalbant, M., G?kkaya, H., & Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials and Design, 28, 1379-1385.
Palanikumar, K. (2006). Cutting parameters optimization for surface roughness in machining of GFRP composites using Taguchi’s Method. Journal of Reinforced Plastics and Composites, 25(16), 1739-1751.
Phadke, M. S. (1989). Quality engineering using robust design. Englewood Cliffs. NJ: Prentice-Hall.
Piispannen, V. (1948). Theory of formation of metal chips. Journal of Applied Physics, 19(10), 876. Ross, P. J. (1988). Taguchi Techniques for Quality Engineering. McGraw- Hill, New York.
Singh, H., & Kumar, P. (2006). Optimizing feed force for turned parts through the Taguchi Technique. Sadhana. 31(6), 671–681.
Sukthomya, W., & Tannock, J. (2005). The optimisation of neural network parameters using Taguchi’s design of experiments approach: an application in manufacturing process modelling. Neural Computing & Applications, 14(4), 337-344.
Taguchi, G. (1990). Introduction to Quality Engineering. Asian Productivity Organization, Tokyo.
Tosun, N., Ozler, L. (2004). Optimisation for hot turning operations with multiple performance characteristics. International Journal of Advanced Manufacturing Technology, 23, 777-782.
Yang, J. L., & Chen, J. C. (2001). A systematic pproach for identifying optimum surface roughness performance in nd-milling operations. Journal of industrial technology, 17(2), 1-8.
Davim, J. P. (2001). A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. Journal of materials processing technology, 116, 305-308.
Davim, J. P. (2003) Design of optimization of cutting parameters for turning metal matrix composites based on the orthogonal arrays. Journal of materials processing technology, 132, 340-344.
Daniel Kirby, E., Zhang, Z., Chen, J. C., & Chen, J. (2006). Optimizing surface finish in a turning operation using the Taguchi parameter design method. International Journal of Advanced Manufacturing Technology, 30, 1021-1029.
Dhar, N. R., Kamruzzaman, M., & Mahiuddin, A. (2006). Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel. Journal of materials processing technology, 172, 299-304.
Gauri, S. K., & Chakraborty, S. (2009). Multi-response optimization of WEDM process using principal component analysis. International Journal of Advanced Manufacturing Technology, 41, 741–748.
Jayant, A. (2008) Prediction of surface roughness in CNC turning operation using Taguchi design of experiments. IE (I)-PR, 88, 19-25.
Nalbant, M., G?kkaya, H., & Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials and Design, 28, 1379-1385.
Palanikumar, K. (2006). Cutting parameters optimization for surface roughness in machining of GFRP composites using Taguchi’s Method. Journal of Reinforced Plastics and Composites, 25(16), 1739-1751.
Phadke, M. S. (1989). Quality engineering using robust design. Englewood Cliffs. NJ: Prentice-Hall.
Piispannen, V. (1948). Theory of formation of metal chips. Journal of Applied Physics, 19(10), 876. Ross, P. J. (1988). Taguchi Techniques for Quality Engineering. McGraw- Hill, New York.
Singh, H., & Kumar, P. (2006). Optimizing feed force for turned parts through the Taguchi Technique. Sadhana. 31(6), 671–681.
Sukthomya, W., & Tannock, J. (2005). The optimisation of neural network parameters using Taguchi’s design of experiments approach: an application in manufacturing process modelling. Neural Computing & Applications, 14(4), 337-344.
Taguchi, G. (1990). Introduction to Quality Engineering. Asian Productivity Organization, Tokyo.
Tosun, N., Ozler, L. (2004). Optimisation for hot turning operations with multiple performance characteristics. International Journal of Advanced Manufacturing Technology, 23, 777-782.
Yang, J. L., & Chen, J. C. (2001). A systematic pproach for identifying optimum surface roughness performance in nd-milling operations. Journal of industrial technology, 17(2), 1-8.