PARAMETERS OPTIMIZATION TO REDUCE THE SURFACE ROUGHNESS IN FACE MILLING OPERATION ON STAINLESS STEEL WORK PIECE APPLYING TAGUCHI METHOD

This experimental study is conducted to find the optimal milling parameters to reduce the surface roughness in face milling operation using Stainless Steel Work Piece.This experimental study will conduct under the three varying parameters depth of cut, spindle speed and feed rate.The settings of milling parameters will determine by using the Taguchi experimental design of L9 Orthogonal array method.All the nine experiments have conducted using a stainless steel work piece and the roughness was checked using the surface roughness tester.Minitab 22 software has used to find out the combination of the optimum milling parameters by using the analysis of Signal-to-Noise (S/N) ratio.This experimental study will help in decreasing the surface roughness using the optimal combination of the milling parameters.

Publication Details

Journal
International Journal of Progressive Research in Engineering Management and Science
Published
2025-07-26
DOI
https://doi.org/10.58257/ijprems43111
Primary Topic
Advanced machining processes and optimization
Type
article
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article

PARAMETERS OPTIMIZATION TO REDUCE THE SURFACE ROUGHNESS IN FACE MILLING OPERATION ON STAINLESS STEEL WORK PIECE APPLYING TAGUCHI METHOD

International Journal of Progressive Research in Engineering Management and Science
Advanced machining processes and optimization
article

PARAMETERS OPTIMIZATION TO REDUCE THE SURFACE ROUGHNESS IN FACE MILLING OPERATION ON STAINLESS STEEL WORK PIECE APPLYING TAGUCHI METHOD

article en

Abstract

This experimental study is conducted to find the optimal milling parameters to reduce the surface roughness in face milling operation using Stainless Steel Work Piece.This experimental study will conduct under the three varying parameters depth of cut, spindle speed and feed rate.The settings of milling parameters will determine by using the Taguchi experimental design of L9 Orthogonal array method.All the nine experiments have conducted using a stainless steel work piece and the roughness was checked using the surface roughness tester.Minitab 22 software has used to find out the combination of the optimum milling parameters by using the analysis of Signal-to-Noise (S/N) ratio.This experimental study will help in decreasing the surface roughness using the optimal combination of the milling parameters.

International Journal of Progressive Research in Engineering Management and Science
Openalex Percentile: Top 82%
Advanced machining processes and optimization
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PARAMETERS OPTIMIZATION TO REDUCE THE SURFACE ROUGHNESS IN FACE MILLING OPERATION ON STAINLESS STEEL WORK PIECE APPLYING TAGUCHI METHOD · International Journal of Progressive Research in Engineering Management and Science (2025) | TGRS Research Map | TGRS