Volume 4 Issue 1 pp. 51-60 Winter, 2013


Optimization of machining parameters of turning operations based on multi performance criteria


Abhijit Saha and N.K.Mandal




The selection of optimum machining parameters plays a significant role to ensure quality of product, to reduce the manufacturing cost and to increase productivity in computer controlled manufacturing process. For many years, multi-objective optimization of turning based on inherent complexity of process is a competitive engineering issue. This study investigates multi-response optimization of turning process for an optimal parametric combination to yield the minimum power consumption, surface roughness and frequency of tool vibration using a combination of a Grey relational analysis (GRA). Confirmation test is conducted for the optimal machining parameters to validate the test result. Various turning parameters, such as spindle speed, feed and depth of cut are considered. Experiments are designed and conducted based on full factorial design of experiment.




DOI: 10.5267/j.ijiec.2012.11.004

Keywords: Turning, Power consumption, Surface roughness, Grey relational analysis, Frequency of tool vibration

References

References Al-Refaie, A., Al-Durgham, L., & Bata, N. (2010).Optimal Parameter Design by Regression Technique and Grey Relational Analysis. The World Congress on Engineering, WCE 2010 3.

Arumugam, P. U., & Malshe, A. P., & Batzer, S. A. (2006). Dry machining of aluminum silicon alloy using polished CVD diamond-coated cutting tools inserts. Surface Coating Technology, 200, 3399–3403.

Chang, C.K., & Lu, H.S. (2007). Design optimization of cutting parameters for side milling operations with multiple performance characteristics. International Journal of Advanced Manufacturing Technology, 32, 18–26.

Deng, J. (1982). Control problems of grey systems. System Control, 5, 288–294.

Kopac, J., & Krajnik, P. (2007). Robust design of flank milling parameters based on grey-Taguchi method. International Journal of Advanced Manufacturing Technology, 191, 400–403.

Lin, C, L., & Lin, J.L., & Ko, T.C. (2002). Optimization of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. International Journal of Advanced Manufacturing Technology, 19, 271–277.

Lin, Z.C., & Ho, C.Y. (2003). Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. International Journal of Advanced Manufacturing Technology, 21,10–14.

Lin, C.L. (2004). Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Material Manufacturing Process, 19,209–220.

Lo, S.P. (2002). The application of ANFIS and grey system method in turning tool-failure detection. International Journal of Advanced Manufacturing Technology, 19, 564–572.

Tosun, N. (2006). Determination of optimum parameters for multiperformance characteristics in drilling by using grey relational analysis. International Journal of Advanced Manufacturing Technology, 28, 450–455.

Tosun, N. (2006). Determination of optimum parameters for multi-performance characteristics in drilling using grey relational analysis. International Journal of Advanced Manufacturing Technology, 28, 450- 455.

Tzeng, Y.F., & Chen, F.C. (2006). Multi-objective process optimization for turning of tool steels. International Journal of Machining and Machinability of Materials, 1(1), 76–93.

Wang, Z.L., & Zhu, J, H., & WU. (1996). Grey relational analysis of correlation of errors in measurement. Journal Grey System, 8(1), 73–78.