Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method

Detalhes bibliográficos
Autor(a) principal: Sreenivasulu, Reddy
Data de Publicação: 2014
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/152
Resumo: This paper deals with optimization of surface roughness and delamination damage on GFRP  material during end milling using grey - based taguchi method. Three parameters namely spindle speed, feed rate and depth of cut were identified and ranges of the parameters for the present investigation were determined from preliminary experiments. Taguchi method based on L9 orthogonal array was selected and experiments were conducted as per experimental layout plan. The experiments were carried out on a CNC vertical machining center to perform 10mm slots on GFRP work piece of 300mmX50mmX25mm size by K10 carbide, four flute end milling cutter. Surface roughness and delamination damage were measured on each slot with the aid of form Talysurf 50 and tool maker’s micro scope. An optimal combination of process parameters were obtained via grey based taguchi method. From the results of ANOVA, it is concluded that cutting speed and depth of cut are the most significant factors affecting the surface roughness and delamination damage factor and their contribution in an order of 26.84% and 40.44% respectively. A confirmatory experiment shows that 5.052µm for surface roughness and 1.682 delamination damage factor to validate the used approach after conducting with optimal setting of process parameters.
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spelling Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi MethodGFRPEnd millingGrey- based Taguchi MethodANOVAThis paper deals with optimization of surface roughness and delamination damage on GFRP  material during end milling using grey - based taguchi method. Three parameters namely spindle speed, feed rate and depth of cut were identified and ranges of the parameters for the present investigation were determined from preliminary experiments. Taguchi method based on L9 orthogonal array was selected and experiments were conducted as per experimental layout plan. The experiments were carried out on a CNC vertical machining center to perform 10mm slots on GFRP work piece of 300mmX50mmX25mm size by K10 carbide, four flute end milling cutter. Surface roughness and delamination damage were measured on each slot with the aid of form Talysurf 50 and tool maker’s micro scope. An optimal combination of process parameters were obtained via grey based taguchi method. From the results of ANOVA, it is concluded that cutting speed and depth of cut are the most significant factors affecting the surface roughness and delamination damage factor and their contribution in an order of 26.84% and 40.44% respectively. A confirmatory experiment shows that 5.052µm for surface roughness and 1.682 delamination damage factor to validate the used approach after conducting with optimal setting of process parameters.Independent2014-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/15210.14807/ijmp.v5i2.152Independent Journal of Management & Production; Vol. 5 No. 2 (2014): Independent Journal of Management & Production; 299-3132236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/152/102http://www.ijmp.jor.br/index.php/ijmp/article/view/152/386Sreenivasulu, Reddyinfo:eu-repo/semantics/openAccess2024-04-24T12:36:28Zoai:www.ijmp.jor.br:article/152Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2024-04-24T12:36:28Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
title Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
spellingShingle Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
Sreenivasulu, Reddy
GFRP
End milling
Grey- based Taguchi Method
ANOVA
title_short Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
title_full Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
title_fullStr Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
title_full_unstemmed Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
title_sort Multi response Characteristics of Process Parameters during End Milling of GFRP using Grey-Based Taguchi Method
author Sreenivasulu, Reddy
author_facet Sreenivasulu, Reddy
author_role author
dc.contributor.author.fl_str_mv Sreenivasulu, Reddy
dc.subject.por.fl_str_mv GFRP
End milling
Grey- based Taguchi Method
ANOVA
topic GFRP
End milling
Grey- based Taguchi Method
ANOVA
description This paper deals with optimization of surface roughness and delamination damage on GFRP  material during end milling using grey - based taguchi method. Three parameters namely spindle speed, feed rate and depth of cut were identified and ranges of the parameters for the present investigation were determined from preliminary experiments. Taguchi method based on L9 orthogonal array was selected and experiments were conducted as per experimental layout plan. The experiments were carried out on a CNC vertical machining center to perform 10mm slots on GFRP work piece of 300mmX50mmX25mm size by K10 carbide, four flute end milling cutter. Surface roughness and delamination damage were measured on each slot with the aid of form Talysurf 50 and tool maker’s micro scope. An optimal combination of process parameters were obtained via grey based taguchi method. From the results of ANOVA, it is concluded that cutting speed and depth of cut are the most significant factors affecting the surface roughness and delamination damage factor and their contribution in an order of 26.84% and 40.44% respectively. A confirmatory experiment shows that 5.052µm for surface roughness and 1.682 delamination damage factor to validate the used approach after conducting with optimal setting of process parameters.
publishDate 2014
dc.date.none.fl_str_mv 2014-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/152
10.14807/ijmp.v5i2.152
url http://www.ijmp.jor.br/index.php/ijmp/article/view/152
identifier_str_mv 10.14807/ijmp.v5i2.152
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/152/102
http://www.ijmp.jor.br/index.php/ijmp/article/view/152/386
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 5 No. 2 (2014): Independent Journal of Management & Production; 299-313
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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