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Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6

The aim of the paper was to examine the influence of cutting conditions on the roughness of surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 prepared by high-velocity oxygen fuel (HVOF) technology and applied onto a standard structural steel substrate. From the re...

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Autores principales: Valíček, Jan, Řehoř, Jan, Harničárová, Marta, Gombár, Miroslav, Kušnerová, Milena, Fulemová, Jaroslava, Vagaská, Alena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720876/
https://www.ncbi.nlm.nih.gov/pubmed/31405119
http://dx.doi.org/10.3390/ma12162551
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author Valíček, Jan
Řehoř, Jan
Harničárová, Marta
Gombár, Miroslav
Kušnerová, Milena
Fulemová, Jaroslava
Vagaská, Alena
author_facet Valíček, Jan
Řehoř, Jan
Harničárová, Marta
Gombár, Miroslav
Kušnerová, Milena
Fulemová, Jaroslava
Vagaská, Alena
author_sort Valíček, Jan
collection PubMed
description The aim of the paper was to examine the influence of cutting conditions on the roughness of surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 prepared by high-velocity oxygen fuel (HVOF) technology and applied onto a standard structural steel substrate. From the results of measurements of the cutting parameters, a prediction model of the roughness parameters was created using mathematical and statistical methods. Based on a more detailed analysis and data comparison, a new method for prediction of parameters of longitudinal turning technology was obtained. The main aim of the paper was to identify the mutual discrete relationships between the substrate roughness and the machining parameters. These were the feed rate v(c) (m·min(−1)), in the case of turning and milling, and the feed rate f (mm·rev(−1)) and the depth of cut a(p) (mm). The paper compared and verified two approaches of this method, namely the mathematical statistical approach, the analytical approach and measured dates. From the evaluated and interpreted results, new equations were formulated, enabling prediction of the material parameters of the workpiece, the technological parameters and the parameters of surface quality.
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spelling pubmed-67208762019-09-10 Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6 Valíček, Jan Řehoř, Jan Harničárová, Marta Gombár, Miroslav Kušnerová, Milena Fulemová, Jaroslava Vagaská, Alena Materials (Basel) Article The aim of the paper was to examine the influence of cutting conditions on the roughness of surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 prepared by high-velocity oxygen fuel (HVOF) technology and applied onto a standard structural steel substrate. From the results of measurements of the cutting parameters, a prediction model of the roughness parameters was created using mathematical and statistical methods. Based on a more detailed analysis and data comparison, a new method for prediction of parameters of longitudinal turning technology was obtained. The main aim of the paper was to identify the mutual discrete relationships between the substrate roughness and the machining parameters. These were the feed rate v(c) (m·min(−1)), in the case of turning and milling, and the feed rate f (mm·rev(−1)) and the depth of cut a(p) (mm). The paper compared and verified two approaches of this method, namely the mathematical statistical approach, the analytical approach and measured dates. From the evaluated and interpreted results, new equations were formulated, enabling prediction of the material parameters of the workpiece, the technological parameters and the parameters of surface quality. MDPI 2019-08-10 /pmc/articles/PMC6720876/ /pubmed/31405119 http://dx.doi.org/10.3390/ma12162551 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Valíček, Jan
Řehoř, Jan
Harničárová, Marta
Gombár, Miroslav
Kušnerová, Milena
Fulemová, Jaroslava
Vagaská, Alena
Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
title Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
title_full Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
title_fullStr Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
title_full_unstemmed Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
title_short Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
title_sort investigation of surface roughness and predictive modelling of machining stellite 6
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720876/
https://www.ncbi.nlm.nih.gov/pubmed/31405119
http://dx.doi.org/10.3390/ma12162551
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