Volume 2, Issue 4, April 2013, Pages 445–453
Sudhansu Ranjan Das1, Amaresh Kumar2, and Debabrata Dhupal3
1 Department of Production and Industrial Engineering, National Institute of Technology, Jamshedpur, Jharkhand, India
2 Department of Production and Industrial Engineering, National Institute of Technology, Jamshedpur, Jharkhand, India
3 Department of Production Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, India
Original language: English
Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Turning of hardened steels using a single point cutting tool has replaced the cylindrical grinding now as it offers attractive benefits in terms of lower equipment costs, shorter set up time, fewer process setups, higher material removal rate, better surface quality and elimination of cutting fluids compared to cylindrical grinding. In order to obtain desired surface quality by machining, proper machining parameters selection is essential. This can be achieved by improving quality and productivity in metal cutting industries. The present study is to investigate the effect of machining parameters such as cutting speed, feed and depth of cut on surface roughness during dry turning of hardened AISI 4340 steel with CVD (TiN+TiCN+Al2O3+ZrCN) multilayer coated carbide inserts. A full factorial design of experiment is selected for experimental planning and the analysis of variance (ANOVA) has been employed to analyze the significant machining parameters on surface roughness during turning. The results showed that feed (60.85%) is the most influencing parameter followed by cutting speed (24.6%) at 95% confidence level. And the two-level interactions of feed-cutting speed (F*V), depth of cut-feed (D*F) and depth of cut-cutting speed (D*V) are found the significant effects on surface roughness in this turning process. Moreover, the relationship between the machining parameters and performance measure i.e. surface roughness has been modeled using multiple regression analysis.
Author Keywords: AISI 4340 steel, Surface Roughness, Factorial Design, ANOVA.
Sudhansu Ranjan Das1, Amaresh Kumar2, and Debabrata Dhupal3
1 Department of Production and Industrial Engineering, National Institute of Technology, Jamshedpur, Jharkhand, India
2 Department of Production and Industrial Engineering, National Institute of Technology, Jamshedpur, Jharkhand, India
3 Department of Production Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, India
Original language: English
Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Turning of hardened steels using a single point cutting tool has replaced the cylindrical grinding now as it offers attractive benefits in terms of lower equipment costs, shorter set up time, fewer process setups, higher material removal rate, better surface quality and elimination of cutting fluids compared to cylindrical grinding. In order to obtain desired surface quality by machining, proper machining parameters selection is essential. This can be achieved by improving quality and productivity in metal cutting industries. The present study is to investigate the effect of machining parameters such as cutting speed, feed and depth of cut on surface roughness during dry turning of hardened AISI 4340 steel with CVD (TiN+TiCN+Al2O3+ZrCN) multilayer coated carbide inserts. A full factorial design of experiment is selected for experimental planning and the analysis of variance (ANOVA) has been employed to analyze the significant machining parameters on surface roughness during turning. The results showed that feed (60.85%) is the most influencing parameter followed by cutting speed (24.6%) at 95% confidence level. And the two-level interactions of feed-cutting speed (F*V), depth of cut-feed (D*F) and depth of cut-cutting speed (D*V) are found the significant effects on surface roughness in this turning process. Moreover, the relationship between the machining parameters and performance measure i.e. surface roughness has been modeled using multiple regression analysis.
Author Keywords: AISI 4340 steel, Surface Roughness, Factorial Design, ANOVA.
How to Cite this Article
Sudhansu Ranjan Das, Amaresh Kumar, and Debabrata Dhupal, “Effect of Machining Parameters on Surface Roughness in Machining of Hardened AISI 4340 Steel Using Coated Carbide Inserts,” International Journal of Innovation and Applied Studies, vol. 2, no. 4, pp. 445–453, April 2013.
