Modeling and Optimization of Surface Roughness in Hard Turning of AISI 4340 Steel with Coated Ceramic Tool

  • J. Jena
  • A. Panda
  • A. K. Behera
  • P. C. Jena
  • Sudhansu Ranjan DasEmail author
  • D. Dhupal
Conference paper


In hard turning (HT), quality of surface plays a major role in functionality of machined part, influencing tribological behavior, fatigue strength, wear and corrosion resistance. The present study concerns the modeling and optimization of surface roughness in dry hard turning of high-strength low-alloy (HSLA) grade AISI 4340 steel (49 HRC) with coated ceramic tool. For parametric study, the turning operations have been established according to Taguchi L16 orthogonal array consisting of an experimental design matrix 4 levels and 3 principal cutting parameters (factors) like depth of cut, cutting speed, and axial feed. Analysis of sixteen set experimental data with ANOVA showed that axial feed and speed are the significant controlled cutting parameters for HT operation from the improvement of surface finish point of view. Thereafter, statistical regression model based on response surface methodology has been proposed for the correlation of cutting parameters with machined workpiece surface roughness. Finally, optimal cutting conditions with an objective to minimize the surface roughness via desirability function analysis of RSM are proposed.


AISI 4340 steel Hard turning OA ANOVA RSM 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • J. Jena
    • 1
  • A. Panda
    • 2
  • A. K. Behera
    • 1
  • P. C. Jena
    • 2
  • Sudhansu Ranjan Das
    • 2
    Email author
  • D. Dhupal
    • 2
  1. 1.Department of Mechanical EngineeringSOA UniversityBhubaneswarIndia
  2. 2.Department of Production EngineeringVeer Surendra Sai University of TechnologyBurlaIndia

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