UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 3 Issue 5
May-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1605018


Registration ID:
160183

Page Number

86-96

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Title

OPTIMIZATION OF CUTTING PARAMETER FOR TURNINGG EN-31 MATERIAL USING RSM

Abstract

ABSTRACT: This paper presents the effect of process parameter in turning operation to predict surface roughness. The turning process by using lathe machine. Applications of the turning process can be found in many industries ranging from large engine manufactures to small die shops. The parameters that affect the turning operation are vibration, tool wear, surface roughness etc. Among this surface roughness is an important factor that affects the quality in manufacturing process. The main objective of this paper is to predict the surface roughness on EN -31 alloy steel by optimizing the input parameters such as spindle speed, feed rate and depth of cut by using coated carbide tool. A second order mathematical model is developed using regression technique and optimization is carried out using Box-Behnken of response surface methodology. The application of response surface methodology for optimizing the input parameters such as spindle speed (rpm), feed rate (mm/min) and depth of cut (mm), the output parameter surface roughness can also be optimized for economical production. Therefore, this study attempts the application of response surface methodology to find the optimal solution of the cutting conditions for giving the minimum value of surface roughness using design- expert 9.0 software

Key Words

Keywords Turning process, Surface roughness, Response Surface method, DOE,ANOVA

Cite This Article

"OPTIMIZATION OF CUTTING PARAMETER FOR TURNINGG EN-31 MATERIAL USING RSM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 5, page no.86-96, May-2016, Available :http://www.jetir.org/papers/JETIR1605018.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"OPTIMIZATION OF CUTTING PARAMETER FOR TURNINGG EN-31 MATERIAL USING RSM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 5, page no. pp86-96, May-2016, Available at : http://www.jetir.org/papers/JETIR1605018.pdf

Publication Details

Published Paper ID: JETIR1605018
Registration ID: 160183
Published In: Volume 3 | Issue 5 | Year May-2016
DOI (Digital Object Identifier):
Page No: 86-96
Country: JAIPUR, RAJASTHAN, India .
Area: Engineering
ISSN Number: 2349-5162


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