Optimization of sanding parameters using response surface methodology

Abstract: The main objective of this work is to develop a mathematical model to evaluate optimum sanding conditions of Europen black pine (Pinus nigra). Samples were sanded using different of grit size, feed rate, cutting speed and depth of cut. Average surface roughness ( Ra ) values of each type...

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Autores principales:	Hazir,Ender, Hüseyin Koc,Kücük, Hiziroglu,Salim
Lenguaje:	English
Publicado:	Universidad del Bío-Bío 2017
Materias:	Cutting speed European black pine feed rate statistical techniques surface roughness wood machining wood sanding process
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2017000400407
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spelling	oai:scielo:S0718-221X20170004004072017-11-21Optimization of sanding parameters using response surface methodologyHazir,EnderHüseyin Koc,KücükHiziroglu,Salim Cutting speed European black pine feed rate statistical techniques surface roughness wood machining wood sanding process Abstract: The main objective of this work is to develop a mathematical model to evaluate optimum sanding conditions of Europen black pine (Pinus nigra). Samples were sanded using different of grit size, feed rate, cutting speed and depth of cut. Average surface roughness ( Ra ) values of each type of specimens were measured employing a stylus type of equipment. Interaction between sanding parameters and surface roughness of the species were analyzed using Minitab software and response surface methodology. Based on the findings in the work feed rate, cutting speed, grit size and depth of cut values of 5,39 m/min, 19,75 m/sec, 220 P and 9 mm were determined as optimum sanding conditions.info:eu-repo/semantics/openAccessUniversidad del Bío-BíoMaderas. Ciencia y tecnología v.19 n.4 20172017-10-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2017000400407en10.4067/S0718-221X2017005000101
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Cutting speed European black pine feed rate statistical techniques surface roughness wood machining wood sanding process
spellingShingle	Cutting speed European black pine feed rate statistical techniques surface roughness wood machining wood sanding process Hazir,Ender Hüseyin Koc,Kücük Hiziroglu,Salim Optimization of sanding parameters using response surface methodology
description	Abstract: The main objective of this work is to develop a mathematical model to evaluate optimum sanding conditions of Europen black pine (Pinus nigra). Samples were sanded using different of grit size, feed rate, cutting speed and depth of cut. Average surface roughness ( Ra ) values of each type of specimens were measured employing a stylus type of equipment. Interaction between sanding parameters and surface roughness of the species were analyzed using Minitab software and response surface methodology. Based on the findings in the work feed rate, cutting speed, grit size and depth of cut values of 5,39 m/min, 19,75 m/sec, 220 P and 9 mm were determined as optimum sanding conditions.
author	Hazir,Ender Hüseyin Koc,Kücük Hiziroglu,Salim
author_facet	Hazir,Ender Hüseyin Koc,Kücük Hiziroglu,Salim
author_sort	Hazir,Ender
title	Optimization of sanding parameters using response surface methodology
title_short	Optimization of sanding parameters using response surface methodology
title_full	Optimization of sanding parameters using response surface methodology
title_fullStr	Optimization of sanding parameters using response surface methodology
title_full_unstemmed	Optimization of sanding parameters using response surface methodology
title_sort	optimization of sanding parameters using response surface methodology
publisher	Universidad del Bío-Bío
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2017000400407
work_keys_str_mv	AT hazirender optimizationofsandingparametersusingresponsesurfacemethodology AT huseyinkockucuk optimizationofsandingparametersusingresponsesurfacemethodology AT hiziroglusalim optimizationofsandingparametersusingresponsesurfacemethodology
_version_	1714202639529410560

Optimization of sanding parameters using response surface methodology

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