Journal Press India®

Optimization of Surface Roughness and Material Removal Rate on Conventional Dry Turning of Aluminium (6061)

Vol 2 , Issue 1 , January - March 2014 | Pages: 150-159 | Research Paper  

https://doi.org/10.51976/ijari.211426

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Author Details ( * ) denotes Corresponding author

1. * Ranganath M. S., Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India (ranganathdce@gmail.com)
2. Vipin Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India
3. R. S. Mishra, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India

The work and study presented in this paper aims to investigate the effect of the cutting speed, feed rate and depth of cut on surface roughness and material removal rate (MRR), in conventional turning of Aluminium (6061) in dry condition. The cutting tool was prepared with positive Rake angle 20. The effect of cutting condition (cutting speed and feed rate) on surface roughness and MRR were studied and analyzed. Design of experiments (DOE) were conducted for the analysis of the influence of the turning parameters on the surface roughness by using Taguchi design and then followed by optimization of the results using Analysis of Variance (ANOVA) to find minimum surface roughness and the maximum MRR. The feed and speed are identified as the most influential process parameters on surface roughness. The optimum MRR was obtained when setting the cutting speed and feed rate at high values, but the optimum surface roughness was reached when the feed rate and depth of cut were set as low as possible. Low surface finish was obtained at high cutting speed.

Keywords

Aluminium (6061); ANOVA; Surface Roughnes; Taguchi Method;Material Removal Rate (MRR).


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