Optimization of turning process parameters for Titanium grade 5 using Taguchi method

Authors

  • Raghavendra M J Department of Mechanical Engineering, Srinivas Institute of Technology. Mangalore, Karnataka
  • Sunil B Department of Mechanical Engineering, Srinivas Institute of Technology, Mangalore, Karnataka
  • Pratham S Shetty Department of Mechanical Engineering, Srinivas Institute of Technology, Mangalore, Karnataka
  • Shakeeb Husain Department of Mechanical Engineering, Srinivas Institute of Technology, Mangalore, Karnataka

DOI:

https://doi.org/10.37591/joeam.v10i2.3005

Keywords:

Surface Roughness, Titanium Grade 5, Taguchi method, ANOVA method

Abstract

In the contemporary world, the standard of the surface end is most significant demand for several turned work piece due to that maker's square measure seeking to stay competitive in the market. Taguchi parameter style is a powerful tool and efficient methodology for optimizing quality and performance output of the producing method. This paper investigates the parameters poignant the surface roughness manufacture in turning method for material Titanium Grade 5. Experiment was carried out for analysis of the influence of the turning parameters like spindle speed, feed, and depth of cut on surface roughness. The results of the machining experiments for Titanium Grade , somewhere accustomed to change characterize the main factors affecting the surface roughness by the Analysis of Variance (ANOVA) methodology. The feed rate was found to be the foremost important parameter influencing the surface roughness in turning method. Confirmation check additionally has been performed to predict and verify the adequacy of the model for deciding optimum characteristics of respondents. The result obtained by on top of the methodology is going to be helpful to different analysis works for similar kind of study for any analysis on tool vibrations, cutting forces, rake angle, etc.

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Published

2019-08-27

Issue

Vol. 10 No. 2 (2019)

Section

Research Article

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