Method for evaluating the influence of wood machining conditions on the objective characterization and subjective perception of a finished surface

Coelho, Cristina Lúcia Maia; Carvalho, Luísa; Martins, Jorge; Costa, Carlos A. V.; Masson, Daniel; Méausoone, Pierre-Jean

doi:10.1007/s00226-007-0166-1

Cited by 27 publications

(13 citation statements)

References 10 publications

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“…Coelho et al (2008) studied operations parameters for a better understanding of the effects of the key operations of wood machining on the quality of a finished wood surface. Yang and Chen (2001) and Zhang et al (2007) stated that knowing the cutting parameters that will give the best surface smoothness before starting manufacturing is of vital importance.…”

Section: Experimental Designmentioning

confidence: 99%

Investigation of Parameters Affecting Surface Roughness in CNC Routing Operation on Wooden EGP

Sütçü

2012

BioResources

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The aim of this study was to evaluate the effect of CNC routing, using different parameters with the Taguchi experimental design, on the surface quality of various wooden (pine, spruce, and beech) edge-glued panels (EGP). The study evaluated five processing parameters: cutting direction, cutting depth, cutting width, feed rate, and spindle rotation speed, and their effects on surface roughness on pine, spruce, and beech EGP. Based on the results of statistical analysis of the burr surface roughness values, the mentioned parameters affected panels at varying levels. It was seen that the parameters were only responsible for ~34% (R z ) of the roughness on the surface of pine EGP, ~49% (R z ) of spruce EGP, and ~27% (R q ) of beech EGP. Statistically important parameters were as follows: cutting direction for pine, cutting depth (tip diameter) and feed rate for spruce, and cutting direction and feed rate for beech.

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Section: Experimental Designmentioning

confidence: 99%

Investigation of Parameters Affecting Surface Roughness in CNC Routing Operation on Wooden EGP

Sütçü

2012

BioResources

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“…However, few studies were dedicated to the relationship between 3D roughness parameters and sensory attributes (Coelho et al 2008). Relationships were found between tactile roughness and 2D roughness parameters, such as H max (maximum height of primary profile) (Sadoh et al 1977), R q (root mean square roughness) (Yasuda et al 1983), and the skewness and kurtosis of the primary profile (Fuji et al 1997).…”

Section: Introductionmentioning

confidence: 98%

Relationships between 3D roughness parameters and visuotactile perception of surfaces of maritime pinewood and MDF

2014

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The objective measurement and subjective estimation of the surface quality by the consumers are important issues for furniture production and marketing. The objective of the present study is to find suitable (objective) roughness parameters that are linked to human sensation. Maritime pinewood and medium-density fiberboard (MDF) made from the same species are in focus. The roughness was measured by means of a 3D confocal profilometer and 13 independent 3D roughness parameters were computed. The quality of surfaces was modified through sanding, whereas the grit size of sand papers ranged between P60 and P320. The applied pressure and sanding time were controlled. The subjective estimation of the surface aspects was performed by several individuals through sensorial analysis. Biplots of several roughness parameters versus tactile rank revealed in the case of MDF a significant correlation to arithmetical average roughness S a and valley material component S r2 . For pinewood, the parameters arithmetical average roughness S a and texture aspect ratio S tr correlated best to tactile rank.

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“…Especially, experimental design based metaheuristic algorithms have become popular method for optimizing the param-eters (Rao and Kalyankar 2013, Mahes et al 2015, Samanta 2009. Coelho et al (2008) applied the Taguchi technique to evaluate the effective parameters for wood cutting conditions. Gaitonde et al (2008) studied the Taguchi design to optimize drilling parameters such as cutting speed and feed rate to reduce delamination of medium density fiberboard (MDF).…”

Section: Introductionmentioning

confidence: 99%

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

Hazır

Koç

2019

Maderas, Cienc. tecnol.

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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 (ANO-VA) 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.

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Method for evaluating the influence of wood machining conditions on the objective characterization and subjective perception of a finished surface

Cited by 27 publications

References 10 publications

Investigation of Parameters Affecting Surface Roughness in CNC Routing Operation on Wooden EGP

Investigation of Parameters Affecting Surface Roughness in CNC Routing Operation on Wooden EGP

Relationships between 3D roughness parameters and visuotactile perception of surfaces of maritime pinewood and MDF

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

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