Experimental Investigation of Surface Roughness and Power Consumption in Turning Operation of EN 31 Alloy Steel
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[1] W. Konig,et al. Machining hard materials with geometrically defined cutting edges , 1990 .
[2] Matthew A. Davies,et al. On Chip Morphology, Tool Wear and Cutting Mechanics in Finish Hard Turning , 1996 .
[3] Y. S. Tarng,et al. Design optimization of cutting parameters for turning operations based on the Taguchi method , 1998 .
[4] George-Christopher Vosniakos,et al. Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments , 2002 .
[5] Fu Gang Yan,et al. Experimental study on hard turning hardened GCr15 steel with PCBN tool , 2002 .
[6] S. G. Deshmukh,et al. A genetic algorithmic approach for optimization of surface roughness prediction model , 2002 .
[7] J. Davim. Design of optimisation of cutting parameters for turning metal matrix composites based on the orthogonal arrays , 2003 .
[8] Y. K. Chou,et al. Tool nose radius effects on finish hard turning , 2004 .
[9] Hari Singh,et al. Tool wear optimization in turning operation by Taguchi method , 2004 .
[10] Sulaiman Hasan,et al. Analyses of surface roughness by turning process using Taguchi method , 2007 .
[11] Muammer Nalbant,et al. Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning , 2007 .
[12] Hari Singh,et al. Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi's technique—A comparative analysis , 2008 .
[13] L. B. Abhang,et al. Power Prediction Model for Turning EN-31 Steel Using Response Surface Methodology , 2010 .
[14] V. Pandurangadu,et al. Cutting power prediction model for turning of GFRP composites using response surface methodology , 2012 .