OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD

The present work is concentrated with the dry turning of AISI 304 Austenitic Stainless Steel (ASS). This paper presents the influence of cutting parameters like cutting speed, feed rate and depth of cut on the surface roughness of austenitic stainless steel during dry turning. A plan of experiments...

Full description

Bibliographic Details
Main Authors: D. PHILIP SELVARAJ, P. CHANDRAMOHAN
Format: Article
Language:English
Published: Taylor's University 2010-09-01
Series:Journal of Engineering Science and Technology
Subjects:
Online Access:http://jestec.taylors.edu.my/Vol%205%20Issue%203%20September%2010/Vol_5_3_293_301_DP_Selvaraj.pdf
id doaj-4f25208590f44c2e817e9adc9fc56abf
record_format Article
spelling doaj-4f25208590f44c2e817e9adc9fc56abf2020-11-24T22:46:47ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902010-09-0153293301OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHODD. PHILIP SELVARAJP. CHANDRAMOHANThe present work is concentrated with the dry turning of AISI 304 Austenitic Stainless Steel (ASS). This paper presents the influence of cutting parameters like cutting speed, feed rate and depth of cut on the surface roughness of austenitic stainless steel during dry turning. A plan of experiments based on Taguchi’s technique has been used to acquire the data. An orthogonal array, the signal to noise (S/N) ratio and the analysis of variance (ANOVA) are employed to investigate the cutting characteristics of AISI 304 austenitic stainless steel bars using TiC and TiCN coated tungsten carbide cutting tool. Finally the confirmation tests that have been carried out to compare the predicted values with the experimental values confirm its effectiveness in the analysis of surface roughness.http://jestec.taylors.edu.my/Vol%205%20Issue%203%20September%2010/Vol_5_3_293_301_DP_Selvaraj.pdfAustenitic stainless steelOptimizationTaguchi methodS/N ratioANOVA
collection DOAJ
language English
format Article
sources DOAJ
author D. PHILIP SELVARAJ
P. CHANDRAMOHAN
spellingShingle D. PHILIP SELVARAJ
P. CHANDRAMOHAN
OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD
Journal of Engineering Science and Technology
Austenitic stainless steel
Optimization
Taguchi method
S/N ratio
ANOVA
author_facet D. PHILIP SELVARAJ
P. CHANDRAMOHAN
author_sort D. PHILIP SELVARAJ
title OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD
title_short OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD
title_full OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD
title_fullStr OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD
title_full_unstemmed OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD
title_sort optimization of surface roughness of aisi 304 austenitic stainless steel in dry turning operation using taguchi design method
publisher Taylor's University
series Journal of Engineering Science and Technology
issn 1823-4690
publishDate 2010-09-01
description The present work is concentrated with the dry turning of AISI 304 Austenitic Stainless Steel (ASS). This paper presents the influence of cutting parameters like cutting speed, feed rate and depth of cut on the surface roughness of austenitic stainless steel during dry turning. A plan of experiments based on Taguchi’s technique has been used to acquire the data. An orthogonal array, the signal to noise (S/N) ratio and the analysis of variance (ANOVA) are employed to investigate the cutting characteristics of AISI 304 austenitic stainless steel bars using TiC and TiCN coated tungsten carbide cutting tool. Finally the confirmation tests that have been carried out to compare the predicted values with the experimental values confirm its effectiveness in the analysis of surface roughness.
topic Austenitic stainless steel
Optimization
Taguchi method
S/N ratio
ANOVA
url http://jestec.taylors.edu.my/Vol%205%20Issue%203%20September%2010/Vol_5_3_293_301_DP_Selvaraj.pdf
work_keys_str_mv AT dphilipselvaraj optimizationofsurfaceroughnessofaisi304austeniticstainlesssteelindryturningoperationusingtaguchidesignmethod
AT pchandramohan optimizationofsurfaceroughnessofaisi304austeniticstainlesssteelindryturningoperationusingtaguchidesignmethod
_version_ 1725683843637182464