Experimental Investigation & Performance Improvement of Aluminium Alloy 1200 in Surface Milling Machne

Authors

  • Pramod Kathamore  P.G. Student, Department of Technology, Savitribai Phule Pune University, Maharashtra, India
  • Sagar Mule  Department of Mechanical Engineering, JSCOE, Maharashtra, India

Keywords:

Optimization, Surface Roughness, Cutting Conditions, CNC Milling, Aluminum Alloy

Abstract

Present paper outlines an investigation study to optimize the effect of the cutting speed, feed rate, Dept of cut on surface roughness of Aluminum Alloy 1200 by employing Taguchi technique. This paper deals with optimization of the selected Surface Milling Parameter, i.e. cutting speed, Feed rate, Depth of cut. Central composite designed with Three Level of milling parameter & different experiments are done using CCD, Containing 3 columns which represent three factors & 20 rows which represent 20 experiments to be calculated & value of each parameter was obtained. The nine experiments are performed & surface roughness is calculated for Aluminum alloy 1200 material. The investigation data were also statistically analyzed by using the ANOVA test. The practical result can be used in industry to get the desirable Surface Roughness for the work piece by using suitable parameter combination.

References

  1. Kathamore P. S., Dr .R. R. Arakerimath,” A Review on Parametric Optimization of Aluminum alloy-1200 & EN-31 in CNC Surface Milling using Taguchi Method,” 2016 IJSRSET, Vol 2, Issue 1.
  2. Noorani, Y. Farooque, & T. Ioi, "Improving surface roughness of CNC milling machined aluminum samples due to process parameter variation," Proceedings of the ICEE & ICEER 2009, Seoul Korea, 23-28 August, 2009.
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Published

2016-10-30

Issue

Section

Research Articles

How to Cite

[1]
Pramod Kathamore, Sagar Mule, " Experimental Investigation & Performance Improvement of Aluminium Alloy 1200 in Surface Milling Machne , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.284-288, September-October-2016.