Surface quality optimization in turning operations using Taguchi Method - a review

P. Govindan, M. P. Vipindas

Research output: Contribution to journalReviewpeer-review


Machining operations have been the core of the manufacturing industry since the industrial revolution. The productivity and quality are two important characteristics those control most of the manufacturing processes. Surface roughness imposes one of the most significant constraints for the selection of cutting parameters and machine tools in development of a process. The optimized parameters of machining are important especially to maximize production rate and to reduce cost. In actual practice, all the factors which affect the surface roughness are classified into tool variables, work piece variables and cutting conditions. To this end, a great deal of research has been performed in order to quantify the effect of various turning process parameters to surface quality. In this paper, an attempt is made to review the optimization of surface roughness in turning operations using Taguchi method, which is being applied successfully in industrial applications for optimal selection of process variables in the area of machining.
Original languageEnglish
JournalInternational Journal of Mechanical Engineering and Robotics Research
Issue number1
Pages (from-to)89-118
Publication statusPublished - 2014
Externally publishedYes


  • Optimization
  • Surface roughness
  • Turning
  • Significant constraints
  • Surface quality


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