• Title of article

    Experimental Study & Modeling of Surface Roughness in Turning of Hardened AISI 4340 Steel Using Coated Carbide Inserted

  • Author/Authors

    Das، S.R نويسنده Dept. of Production & Industrial Eng., NIT, Jamshedpur-831014, Jharkhand , , Dhupal ، .D نويسنده Professor, Department of Manufacturing Science & Engineering, VSSUT, Burla-768018, Odisha, India. , , Kumar، .A نويسنده Associate. Professor, Dept. of Production & Industrial Eng., NIT, Jamshedpur-831014, Jharkhand ,

  • Issue Information
    فصلنامه با شماره پیاپی 0 سال 2013
  • Pages
    9
  • From page
    284
  • To page
    292
  • 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 cutcutting 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.
  • Journal title
    International Journal of Automotive Engineering (IJAE)
  • Serial Year
    2013
  • Journal title
    International Journal of Automotive Engineering (IJAE)
  • Record number

    1024119