Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

The manufacturing industry aims to produce many high quality products efficiently at low cost, thereby motivating companies to use advanced manufacturing technologies. The use of high-speed machining is increasingly widespread; however, it lacks a deep-rooted knowledge base needed to facilitate impl...

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Autores principales: Hernández González, Luis Wilfredo, Seid Ahmed, Yassmin, Pérez Rodríguez, Roberto, Zambrano Robledo, Patricia del Carmen, Guerrero Mata, Martha Patricia
Formato: Artículo
Lenguaje:inglés
Publicado: Molecular Diversity Preservation International 2018
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Acceso en línea:http://eprints.uanl.mx/23448/1/23448.pdf
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author Hernández González, Luis Wilfredo
Seid Ahmed, Yassmin
Pérez Rodríguez, Roberto
Zambrano Robledo, Patricia del Carmen
Guerrero Mata, Martha Patricia
author_facet Hernández González, Luis Wilfredo
Seid Ahmed, Yassmin
Pérez Rodríguez, Roberto
Zambrano Robledo, Patricia del Carmen
Guerrero Mata, Martha Patricia
author_sort Hernández González, Luis Wilfredo
collection Repositorio Institucional
description The manufacturing industry aims to produce many high quality products efficiently at low cost, thereby motivating companies to use advanced manufacturing technologies. The use of high-speed machining is increasingly widespread; however, it lacks a deep-rooted knowledge base needed to facilitate implementation. In this paper, response surface methodology (RSM) has been applied to determine the optimum cutting conditions leading to minimum flank wear in high-speed dry turning on AISI 1045 steel. The mathematical models in terms of machining parameters were developed for flank wear prediction using RSM on the basis of experimental results. The high speed turning experiments were carried out with two coated carbide and a cermet inserts using AISI 1045 steel as work material at different cutting speeds and machining times. The models selected for optimization were validated through the Pareto principle. Results showed the GC4215 insert to be the most optimal option, because it did not reach the cutting tool life limit and could be used for the whole range of cutting parameters selected. To quantitatively evaluate the usefulness of the cutting tools, it was proposed the coefficient of use of the tools from the results of the contour graphs. The GC4215 insert showed 100% effectiveness, followed by the GC4225 with 98.4%, and finally, the CT5015 insert with 83%.
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spelling eprints-234482024-03-04T18:57:53Z http://eprints.uanl.mx/23448/ Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel Hernández González, Luis Wilfredo Seid Ahmed, Yassmin Pérez Rodríguez, Roberto Zambrano Robledo, Patricia del Carmen Guerrero Mata, Martha Patricia TJ Ingeniería Mecánica The manufacturing industry aims to produce many high quality products efficiently at low cost, thereby motivating companies to use advanced manufacturing technologies. The use of high-speed machining is increasingly widespread; however, it lacks a deep-rooted knowledge base needed to facilitate implementation. In this paper, response surface methodology (RSM) has been applied to determine the optimum cutting conditions leading to minimum flank wear in high-speed dry turning on AISI 1045 steel. The mathematical models in terms of machining parameters were developed for flank wear prediction using RSM on the basis of experimental results. The high speed turning experiments were carried out with two coated carbide and a cermet inserts using AISI 1045 steel as work material at different cutting speeds and machining times. The models selected for optimization were validated through the Pareto principle. Results showed the GC4215 insert to be the most optimal option, because it did not reach the cutting tool life limit and could be used for the whole range of cutting parameters selected. To quantitatively evaluate the usefulness of the cutting tools, it was proposed the coefficient of use of the tools from the results of the contour graphs. The GC4215 insert showed 100% effectiveness, followed by the GC4225 with 98.4%, and finally, the CT5015 insert with 83%. Molecular Diversity Preservation International 2018 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/23448/1/23448.pdf http://eprints.uanl.mx/23448/1.haspreviewThumbnailVersion/23448.pdf Hernández González, Luis Wilfredo y Seid Ahmed, Yassmin y Pérez Rodríguez, Roberto y Zambrano Robledo, Patricia del Carmen y Guerrero Mata, Martha Patricia (2018) Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel. Journal of Manufacturing and Materials Processing, 2 (4). pp. 1-14. ISSN 2504-4494 http://doi.org/10.3390/jmmp2040066 doi:10.3390/jmmp2040066
spellingShingle TJ Ingeniería Mecánica
Hernández González, Luis Wilfredo
Seid Ahmed, Yassmin
Pérez Rodríguez, Roberto
Zambrano Robledo, Patricia del Carmen
Guerrero Mata, Martha Patricia
Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel
title_full Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel
title_fullStr Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel
title_full_unstemmed Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel
title_short Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel
title_sort selection of machining parameters using a correlative study of cutting tool wear in high speed turning of aisi 1045 steel
topic TJ Ingeniería Mecánica
url http://eprints.uanl.mx/23448/1/23448.pdf
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