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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Universidad Nacional de Colombia
2017
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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 |
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Zurita-Hurtado,Omar José Graci-Tiralongo,Verónica Carmen Di Capace-Aguirre,María Cristina |
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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. |
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Universidad Nacional de Colombia |
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2017 |
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http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000400031 |
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AT zuritahurtadoomarjose surfacehardnesspredictionbasedoncuttingparametersinturningofannealedaisi1020steel AT gracitiralongoveronicacarmendi surfacehardnesspredictionbasedoncuttingparametersinturningofannealedaisi1020steel AT capaceaguirremariacristina surfacehardnesspredictionbasedoncuttingparametersinturningofannealedaisi1020steel |
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1755932691828572160 |