Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel

Abstract The influence of various cutting parameters, cutting speed (Vc), feed rate (f), and depth of cut (d) on the surface hardness developed by turning annealed AISI 1020 steel using carbide insert tools was investigated. It was shown from the measured results that hardness increases with the increase in all the studied parameters. An analysis of variance (ANOVA) was employed to determine the contributions of each parameter on the response variable. From the results, it was found that cutting speed has the most significant role in producing surface hardness (69.2 %) followed by feed rate (24.4 %), while the depth of cut has the lesser effect (6.4%). Finally, a simple equation is proposed, for the prediction of the values of surface hardness, which accounts for the effects of process parameters.

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Main Authors: Zurita-Hurtado,Omar José, Graci-Tiralongo,Verónica Carmen Di, Capace-Aguirre,María Cristina
Format: Digital revista
Language:English
Published: Universidad Nacional de Colombia 2017
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000400031
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spelling oai:scielo:S0012-735320170004000312018-03-14Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steelZurita-Hurtado,Omar JoséGraci-Tiralongo,Verónica Carmen DiCapace-Aguirre,María Cristina AISI 1020 ANOVA cutting speed depth of cut feed rate surface hardness turning. Abstract The influence of various cutting parameters, cutting speed (Vc), feed rate (f), and depth of cut (d) on the surface hardness developed by turning annealed AISI 1020 steel using carbide insert tools was investigated. It was shown from the measured results that hardness increases with the increase in all the studied parameters. An analysis of variance (ANOVA) was employed to determine the contributions of each parameter on the response variable. From the results, it was found that cutting speed has the most significant role in producing surface hardness (69.2 %) followed by feed rate (24.4 %), while the depth of cut has the lesser effect (6.4%). Finally, a simple equation is proposed, for the prediction of the values of surface hardness, which accounts for the effects of process parameters.info:eu-repo/semantics/openAccessUniversidad Nacional de ColombiaDYNA v.84 n.203 20172017-12-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000400031en10.15446/dyna.v84n203.65481
institution SCIELO
collection OJS
country Colombia
countrycode CO
component Revista
access En linea
databasecode rev-scielo-co
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Zurita-Hurtado,Omar José
Graci-Tiralongo,Verónica Carmen Di
Capace-Aguirre,María Cristina
spellingShingle Zurita-Hurtado,Omar José
Graci-Tiralongo,Verónica Carmen Di
Capace-Aguirre,María Cristina
Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel
author_facet Zurita-Hurtado,Omar José
Graci-Tiralongo,Verónica Carmen Di
Capace-Aguirre,María Cristina
author_sort Zurita-Hurtado,Omar José
title Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel
title_short Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel
title_full Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel
title_fullStr Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel
title_full_unstemmed Surface hardness prediction based on cutting parameters in turning of annealed AISI 1020 steel
title_sort surface hardness prediction based on cutting parameters in turning of annealed aisi 1020 steel
description Abstract The influence of various cutting parameters, cutting speed (Vc), feed rate (f), and depth of cut (d) on the surface hardness developed by turning annealed AISI 1020 steel using carbide insert tools was investigated. It was shown from the measured results that hardness increases with the increase in all the studied parameters. An analysis of variance (ANOVA) was employed to determine the contributions of each parameter on the response variable. From the results, it was found that cutting speed has the most significant role in producing surface hardness (69.2 %) followed by feed rate (24.4 %), while the depth of cut has the lesser effect (6.4%). Finally, a simple equation is proposed, for the prediction of the values of surface hardness, which accounts for the effects of process parameters.
publisher Universidad Nacional de Colombia
publishDate 2017
url http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000400031
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AT capaceaguirremariacristina surfacehardnesspredictionbasedoncuttingparametersinturningofannealedaisi1020steel
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