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Paper Details

📄 IJAERD-OJS-1471

Identification Of The Optimal Parameters For Minimizing Surface Roughness For Alloy Steel On Aerospace Fasteners Using Design Of Experiments

Author(s):Praveen K Pammar, V Vivekanand
Institution:P.G Student 1Department of IEM, M S Ramaiah Institute of Technology, Bangalore, India
Published In:Vol. 3, Issue 6 — June 2016
Page No.:87-97
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

In manufacturing industry, the current trend is to adopt six- sigma, which is about improving process in all theaspects of production. By applying various Industrial Engineering tools, the process of any industry can be improved oroptimized. Surface roughness of a fastener plays a crucial role in providing a good surface finish. Controlling thesurface roughness value to an optimum level would ensure minimum surface defects. In a machining set up variousfactors would affect product quality characteristics. Surface roughness can be affected by various process parametersand material characteristics. To understand and analyze the effect of various factors an experimental study would beneeded.Design of experiments provides a scientific pathway to identify and analyze the crucial factors which affects the responsevariables (Surface roughness). To conduct the experiment, few factors were chosen which includes Speed, feed and depthof cut with two levels and the experiment was carried out using DOE principle, such as Randomization and Replication.Various types of response variables such as Average surface roughness, face average for surface roughness, surfaceroughness range and standard deviation for surface roughness for alloy steel were obtained to analyze the significanteffects. The choice of these response variables were based on understanding the effects on mean as well as variability ofsurface roughness.

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🕮 How to Cite

Praveen K Pammar, V Vivekanand, “Identification Of The Optimal Parameters For Minimizing Surface Roughness For Alloy Steel On Aerospace Fasteners Using Design Of Experiments”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 6, pp. 87-97, June 2016.

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