Abstract
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 Sa and valley material component Sr2. For pinewood, the parameters arithmetical average roughness Sa and texture aspect ratio Str correlated best to tactile rank.
We thank the test persons for help with collecting data for sensory analysis and Weyerhaueser Mediland SAS (Landes, France) for providing the MDF samples.
References
AFNOR, BP X10-040, Caractérisation sensorielle des matériaux – Méthodologie générale – Recommandations méthodologiques pour l’analyse sensorielle de la matière première au produit fini, 2003.Search in Google Scholar
AFNOR, BP X10-041, Caractérisation sensorielle des matériaux – Recommandations pratiques pour l’analyse tactile de la matière première au produit fini, 2004.Search in Google Scholar
American Society for Testing and Materials (2004) D1666-87, Standard Test Methods for Conducting Machining Tests of Wood and Wood-Base Materials.Search in Google Scholar
Ayrilmis, N., Candan, Z., Akbulut, T., Balkiz, O.D. (2010) Effect of sanding on surface properties of medium density fiberboard. Drvna Industrija 61:175–181.Search in Google Scholar
Blateyron, F. (2006) 3D parameters and new filtration techniques for surface metrology. In: Proceeding of JSPE Spring General Meeting, pp. 21–27.Search in Google Scholar
Coelho, C.L., Carvalho, L.M.H., Martins, J.M., Costa, C.A.V., Masson D., Méausoone P.J. (2008) Method for evaluating the influence of wood machining conditions on the objective characterization and subjective perception of a finished surface. Wood Sci. Technol. 42:181–195.10.1007/s00226-007-0166-1Search in Google Scholar
Cool, J., Hernandez, E.R. (2011) Evaluation of four surfacing methods on black spruce wood in relation to poly(vinyl acetate) gluing performance. Wood Fiber Sci. 43:194–205.Search in Google Scholar
Fellin, M., Hernández, R.E., Negri, M. (2009) Surface process effect on PVAc glued joints. In: Proceedings of ISCHP-Paris.Search in Google Scholar
Fuji, Y., Yoshizane, M., Okumara, S. (1997) Evaluation of surface roughness by various parameters. Relationship between several roughness parameters and tactile roughness. Mokuzai Gakkaishi 43:574–579.Search in Google Scholar
Fujiwara, Y., Fuji, Y., Sawada, Y., Okumara, S. (2001) Development of a parameter to reflect the roughness of a wood surface that correspond to tactile roughness. A novel filter to exclude local valley effects. Holz Roh Werks. 59:351–355.10.1007/s001070000161Search in Google Scholar
Gaitonde, V.N., Karnik, S.R., Davim, J.P. (2008) Prediction and optimization of surface roughness in milling of medium density fiberboard (MDF) based on Taguchi orthogonal array experiments. Holzforschung 62:209–214.10.1515/HF.2008.030Search in Google Scholar
Hernandez, R.E., Constantineau, S., Fortin, Y. (2011) Wood machining properties of poplar hybrid clones from different sites following various drying treatments. Wood Fiber Sci. 43:394–411.Search in Google Scholar
Hiziroglu, S., Suzuki, S. (2007) Evaluation of surface roughness of commercially manufactured particleboard and medium density fiberboard in Japan. J. Mater. Process. Technol. 184:436–440.Search in Google Scholar
Hollins, M., Bensmaïa, S.J., Roy, E.A. (2002) Vibrotaction and texture perception. Behav. Brain Res. 135:51–56.Search in Google Scholar
Hunt, R.W.G., Pointer, M.R. (2011) Measuring Colour. Wiley-IS&T Series in Imaging Science and Technology. John Wiley & Sons, Ltd, Chichester, UK. pp. 492.10.1002/9781119975595Search in Google Scholar
ISO (2012) 25178-2, Geometrical Product Specification (GPS) – Surface Texture: Areal – Part 2: Terms, definitions and surface texture parameters.Search in Google Scholar
Klatzky, R.L., Lederman, S.J. (2010) Multisensory texture perception. In: Multisensory Object Perception in the Primate Brain. Eds. Naumer, M.J., Kaiser, J. Springer Science Business Media, LLC. pp. 210–230.10.1007/978-1-4419-5615-6_12Search in Google Scholar
Larricq, P., Ramananantoandro, T., Bacou, M., Eterradossi, O. (2004) Two compared analyses of roughness on sanded surfaces: how to replace sensorial measure by mechanical measure? Proceedings of the 2nd International Symposium on Wood Machining, Properties of Wood and Wood Composites Related to Machining, Vienna, Austria. pp. 367–375.Search in Google Scholar
Lederman, S.J. (1974) Tactile roughness of grooved surface: the touching process and effects of macro- and microsurface structure. Perc. Psychophys. 16:385–395.10.3758/BF03203958Search in Google Scholar
Ramananantoandro, T. (2005) Implications tactiles et visuelles de la rugosité du bois et des dérivés du pin maritime. Thèse de doctorat de l’Ecole des Mines d’Alès. pp. 139.Search in Google Scholar
Sadoh, T., Takeuchi, M., Nakato, K. (1977) Relationships between sensory and physical evaluations of wood surface roughness. Bull. Kyoto Univ. For. 49:138–144.Search in Google Scholar
Sandak, J., Negri, M. (2005) Wood surface roughness – what is it? Proceedings of the 17th International Wood Machining Seminar, Rosenheim, Germany. pp. 242–250.Search in Google Scholar
Saporta, G., Probabilités analyse des données statistiques, Paris, 1990.Search in Google Scholar
Sinn, G., Gindl, M., Reiterer, A., Stanzl-Tschegg, S. (2004) Changes in the surface properties of wood due to sanding. Holzforschung 58:246–251.10.1515/HF.2004.038Search in Google Scholar
Sinn, G., Sandak, J., Ramananantoandro, T. (2009) Properties of wood surfaces – characterisation and measurement. A review COST Action E35 2004–2008: wood machining – micromechanics and fracture. Holzforschung 63:196–203.10.1515/HF.2009.016Search in Google Scholar
SSHA, Evaluation sensorielle, manuel méthodologique, Technique et documentation Lavoisier, Paris, 1998.Search in Google Scholar
StatSoft, Inc. (2009) Statistica (data analysis software system), version 9. www.statsoft.com.Search in Google Scholar
Sulaiman, O., Hashim, R., Subari, K., Liang, C.K. (2009) Effect of sanding on surface roughness of rubberwood. J. Mater. Process. Technol. 209:3949–3955.Search in Google Scholar
Whitaker, T.A., Simões-Franklin, C., Newell, F.N. (2008) Vision and touch: independent or integrated systems for the perception of texture? Brain. Res. 1242:59–72.10.1016/j.brainres.2008.05.037Search in Google Scholar PubMed
Wilkowski, J., Wojton, M. (2009) Analysis of surface roughness in wood sawing. Ann. Warsaw Univ. Life Sci. SGGW. For. Wood Technol. 67:297–282.Search in Google Scholar
Yasuda, A., Sadoh, T., Nakato, K. (1983) Visual and tactile roughness of hardwood surfaces relating to physical roughness. Mokuzai Gakkaishi 29:731–737.Search in Google Scholar
©2014 by Walter de Gruyter Berlin Boston