Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm

Abstract: In the present study, two mathematical models were developed to optimize the surface roughness for machining condition of Cedar of Lebanon pine (Cedrus libani). Taguchi approach was applied to examine the effect of CNC processing variables. Quality characteristics parameters were selected...

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Autores principales:	Hazir,Ender, Koc,Kücük Hüseyin
Lenguaje:	English
Publicado:	Universidad del Bío-Bío 2019
Materias:	Cedrus libani response surface method softwood surface roughness wood material optimization
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2019000400493
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spelling	oai:scielo:S0718-221X20190004004932019-09-30Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithmHazir,EnderKoc,Kücük Hüseyin Cedrus libani response surface method softwood surface roughness wood material optimization Abstract: In the present study, two mathematical models were developed to optimize the surface roughness for machining condition of Cedar of Lebanon pine (Cedrus libani). Taguchi approach was applied to examine the effect of CNC processing variables. Quality characteristics parameters were selected as arithmetic average roughness (R a) and average maximum height of the profile (R z ) for wood material. Analysis of variance (ANOVA) was used to determine effective machining parameters. Developed mathematical models using response surface methodology (RSM) were optimized by a combined approach of the Taguchi’s L 27 orthogonal array based simulated angling algorithm (SA). Optimum machining levels for determining the minimum surface roughness values were carried out three stages. Firstly, the desirability function was used to optimize the mathematical models. Secondly, the results obtained from the desirability function were selected as the initial point for the simulated angling algorithm. Finally, the optimum parameter values were obtained by using simulated angling algorithm. Minimum R a value was obtained spindle speed of 17377 rpm, feed rate of 2,012 m/min, tool radius of 8 mm and depth of cut of 2,009 mm by using desirability function based simulated angling algorithm. For R z these results were found as 16980 rpm, 2,004 m/min, 8,001 mm and 2,003 mm. The R-square values of the R a and R z were 95,91 % and 96,12 %, respectively. The proposed models obtained the minimum surface roughness values and provided better results than the observed values.info:eu-repo/semantics/openAccessUniversidad del Bío-BíoMaderas. Ciencia y tecnología v.21 n.4 20192019-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2019000400493en10.4067/S0718-221X2019005000406
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Cedrus libani response surface method softwood surface roughness wood material optimization
spellingShingle	Cedrus libani response surface method softwood surface roughness wood material optimization Hazir,Ender Koc,Kücük Hüseyin Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm
description	Abstract: In the present study, two mathematical models were developed to optimize the surface roughness for machining condition of Cedar of Lebanon pine (Cedrus libani). Taguchi approach was applied to examine the effect of CNC processing variables. Quality characteristics parameters were selected as arithmetic average roughness (R a) and average maximum height of the profile (R z ) for wood material. Analysis of variance (ANOVA) was used to determine effective machining parameters. Developed mathematical models using response surface methodology (RSM) were optimized by a combined approach of the Taguchi’s L 27 orthogonal array based simulated angling algorithm (SA). Optimum machining levels for determining the minimum surface roughness values were carried out three stages. Firstly, the desirability function was used to optimize the mathematical models. Secondly, the results obtained from the desirability function were selected as the initial point for the simulated angling algorithm. Finally, the optimum parameter values were obtained by using simulated angling algorithm. Minimum R a value was obtained spindle speed of 17377 rpm, feed rate of 2,012 m/min, tool radius of 8 mm and depth of cut of 2,009 mm by using desirability function based simulated angling algorithm. For R z these results were found as 16980 rpm, 2,004 m/min, 8,001 mm and 2,003 mm. The R-square values of the R a and R z were 95,91 % and 96,12 %, respectively. The proposed models obtained the minimum surface roughness values and provided better results than the observed values.
author	Hazir,Ender Koc,Kücük Hüseyin
author_facet	Hazir,Ender Koc,Kücük Hüseyin
author_sort	Hazir,Ender
title	Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm
title_short	Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm
title_full	Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm
title_fullStr	Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm
title_full_unstemmed	Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm
title_sort	optimization of wood machining parameters in cnc routers: taguchi orthogonal array based simulated angling algorithm
publisher	Universidad del Bío-Bío
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2019000400493
work_keys_str_mv	AT hazirender optimizationofwoodmachiningparametersincncrouterstaguchiorthogonalarraybasedsimulatedanglingalgorithm AT kockucukhuseyin optimizationofwoodmachiningparametersincncrouterstaguchiorthogonalarraybasedsimulatedanglingalgorithm
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Optimization of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm

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