Journal Press India^®

Author Details ( * ) denotes Corresponding author

The main controllable parameters for the CNC turning machines are cutting tool variables, work piece material variables, and cutting conditions. The desired output is surface roughness, material removal rate and tools wear. Optimization of machining parameters needs to determine the most significant parameter for required output. Various techniques are used for optimization of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant parameter. This work presents the findings of an experimental investigation into the effects of cutting speed, feed rate, and depth of cut in CNC turning of Aluminium KS 1275. Response surface methodology (RSM) is used to accomplish the objective of the experimental study. Face centered central composite design has been used for conducting the experiments. The result from RSM reveals that feed is the most significant factor followed by depth of cut.

Keywords

Surface Roughness; CNC Turning; Experimental Analysis; Aluminium; Response Surface Methodology

1. A. Aggarwal, H. Singh, P. Kumar, M. Singh, Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi's technique - A comparative analysis, Elsevier Journal, Journal of materials processing technology, 2008, 373-384


2. C. X. Feng, X. Wang, Development of Empirical Models for Surface Roughness Prediction in Finish Turning, International Journal of Advanced Manufacturing Technology, 20, 2002, 348-356


3. H. Gokkayaa, M. Nalbant, The effects of cutting tool geometry and processing parameters on the surface roughness of AISI 1030 steel, Materials & Design, 28(2), 2007, 717-721


4. I. Asilturk, H. Akkus, Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method, Elsevier Journal, Measurement, 44,2011,1697-1704


5. P. J. Prashant, B. R. Jadhav, Optimization Of Surface Roughness Of Alloy Steel by Changing Operational Parameters and Insert Geometry in The Turning Process, International Journal of Advanced Engineering Research and Studies, IP IV, 2013, 17-21


6. Kennametal Inc., Steel Machining Catalog 9008. Trade Catalogue, USA, 1999


7. W. S. Lin, B. Y. Lee, C. L. Wu, Modeling the surface roughness and cutting force for turning. J. Mater. Process. Technol. 108, 2001, 286-293


8. D. I. Lalwani, Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel, Journal of Materials Processing Technology, 206(1-3), 2008, 167-179


9. D. C. Montgomery, Design and Analysis of Experiments, 4th ed. Wiley, New York. 1997


10. M. Kaladhar, K. Venkata Subbaiah, Ch. Srinivasa Rao, Parametric optimization during machining of AISI 304 Austenitic Stainless Steel using CVD coated DURATOMICTM cutting insert, International Journal of Industrial Engineering Computations 3, 2012, 577-586


11. M. Kaladhar, K. V. Subbaiah, Ch. Srinivasa Rao and K. Narayana Rao, Application of Taguchi approach and Utility Concept in solving the Multi-objective problem when turning AISI 202 Austenitic Stainless Steel, Journal of Engineering and Technology Review (4), ,2011,55-61


12. M. Kaladhar, K. V. Subbaiah, Ch. S. Rao, Determination of Optimum Process Parameter during turning of AISI 304 Austenitic Stainless Steels using Taguchi method and ANOVA, International Journal of Lean Thinking, 3(1), 2012


13. M. Kaladhar, K. V. Subbaiah, Ch. S. Rao, K. Narayana Rao, Optimization of Process Parameters in Turning of AISI202 Austenitic Stainless Steel, ARPN Journal of Engineering and Applied Sciences, 5(9), 2010, 79-87


14. M. Nalbant, H. Gokkaya, G. Sur, Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Elsevier Journal, Materials and Design 28, 2007, 1379-1385


15. Ranganath M S, Vipin, R S Mshra, Optimization of Surface Roughness and Material Removal Rate on Conventional Dry Turning of Aluminium (6061), International Journal of Advance Research and Innovation, 1,2014,62-71


16. Ranganath M S, Vipin, Optimization of Process Parameters in Turning Operation Using Taguchi Method and Anova: A Review, International Journal of Advance Research and Innovation, 1, 2013, 31-45


17. Ranganath M S, Vipin, Nand Kumar, R Srivastava, Surface Finish Monitoring in CNC Turning Using RSM and Taguchi Techniques, International Journal of Emerging Technology and Advanced Engineering, 4(9), 2014, 171-179


18. Ranganath M S, Vipin, Harshit, Surface Finish Monitoring in CNC Turning using RSM: A Review, International Journal of Emerging Technology and Advanced Engineering, 4(10), 2014, 351-360


19. Ranganath M. S, Vipin, Experimental Investigation and Parametric Analysis of Surface Roughness in CNC Turning Using Design of Experiments, International Journal of Modern Engineering Research, 4(9), 2014, 18-25


20. Ranganath. M. S., Vipin, Effect of Rake Angle on Surface Roughness in CNC Turning, International Journal of Advance Research and Innovation, 2, 2014


21. Ranganath M. S., Vipin, Effect of Machining Parameters on Surface Roughness with Turning Process- Literature Review, International Journal of Advance Research and Innovation, 2, 2014, 531-536


22. Ranganath M. S, Vipin, Prateek, Nikhil Gaur, Rahul, Nikhil, Experimental Investigation and Parametric Analysis of Surface Roughness analysis studies in CNC Turning, International Journal of Modern Engineering Research, 4(10), 2014, 49-58