Optimization of sanding parameters using response surface methodology
Keywords:
Cutting speed, European black pine, feed rate, statistical techniques, surface roughness, wood machining, wood sanding processAbstract
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 (grit size) and 9 mm were determined as optimum sanding conditions.
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References
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Jacob, S.; Banerjee, R. 2016. Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm. Bioresource Technology 214:386-395.
Kılıç, M; Hiziroglu, S; Burdurlu, E. 2006. Effect of machining on surface roughness of wood. Building and environment 41:1074-1078.
Landry, V.; Blanchet, P. 2012. Surface preparation of wood for application of waterborne coatings. Forest Products Journal 62(2):39-45.
López, A.; Aisa, J.; Martinez, A.; Mercado, D. 2016. Injection moulding parameters influence on weight quality of complex parts by means of DOE application: Case study. Measurement 90:349-356.
Magoss, E. 2015. Evaluating of the surface roughness of sanded wood. Wood Research 60(5):783-790.
Moura, L.F.; Hernandez, R.Z. 2006. Effects of abrasive mineral, grit size and feed speed on the quality of sanded surfaces of Sugar maple wood. Wood Science and Technology 40:517-530.
Ozdemir, T; Hiziroglu, S. 2007. Evaluation of some sanding factors on the surface roughness of particleboard. Silva Fennica 41:373-378.
Ratnasingman, J; Scholz, F. 2006. Optimal surface roughness for high-quality on Rubberwood. Holzals Roh-und Werkstoff 64:343-345.
Saloni, D.E.; Lemaster, R.L.; Jackson, S.D. 2010. Process monitoring evaluation and implementation for the wood abrasive machining process. Sensors 10(11):10401-10412.
Scrinzi, E.; Rossi, S; Deflorian, F; Zanella, C. 2011. Evaluation of aesthetic durability of waterborne polyurethane coatings applied on wood for interior applications. Progress in Organic Coatings 72(1):81-87.
Sulaiman, O; Hashim, R; Subari, K; Liang, C.K. 2009. Effect of sanding on surface roughness of rubberwood. Journal of Materials Processing Technology 209:3949-3955.
Tan, P.L.; Sharif, S; Sudin, I. 2012. Roughness models for sanded wood surfaces. Wood Sci Technol 46:129-142.
Vitosyte, J.J; Ukvalbergiene, K; Keturakis, G. 2012.The effect of surface roughness on adhesion strength of coated Ash (Fraxinus excelsior L.) and Birch (Betula L.) wood. Materials Science (Medziagotyra) 18(4):347-351.
Varanda, L.D.; Alves, M.C.S.; Gonçalves, M.T.T.; Santıago, L.F.F. 2010. Influência das variáveis no lixamento tubular na qualidade das peças de Eucalyptus grandis. Cerne Lavras 16:23-32.
Box, G. E. P.; Draper, N. 1987. Empirical model-building and response surface. 1st edn. John Wiley & Sons, Inc., New York.
Carrano, A.L.; Taylor, J.B.; Lemaster, R. 2002. Parametric characterization of peripheral sanding. Forest Products Journal 52(9):44-50.
Gurau, L; Csiha, C; Mansfield-Williams, H. 2015.Processing roughness of sanded beech surfaces. European Journal of Wood and Wood Products 73:395-398.
Gurau, L.; Mansfield-Williams, H.; Irle, M. 2013.The influence of measuring resolution on the subsequent roughness parameters of sanded wood surfaces. European Journal of Wood and Wood Products 71(1):5-11.
Hernández, E.R.; Cool, J. 2008. Effects of cutting parameters on surface quality of paper birch wood machined across the grain with two planing techniques. Holz als Roh- und Werkstoff Journal 66(2):147-154.
Herrrera, P.; Navarrete, J.; Werner, E. 2015. Adaptation of the tween 80 assay with a resolution v fractional factorial design and its application to rank Ophiostoma fungi with wood extractive degrading capabilitıes. Maderas. Ciencia y tecnología 17(1):85-98.
Hiziroglu, S; Zhong, Z.W.; Ong, W.K. 2014. Evaluation of bonding strength of pine, oak and nyatoh wood species related to their surface roughness. Measurement 49:397-400.
Hiziroglu, S; Zhong, Z.W.; Tang, H.L. 2013. Measurement of bonding strength of pine, kapur and meranti wood species as function of their quality. Measurement 46:3198-3201.
Jacob, S.; Banerjee, R. 2016. Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm. Bioresource Technology 214:386-395.
Kılıç, M; Hiziroglu, S; Burdurlu, E. 2006. Effect of machining on surface roughness of wood. Building and environment 41:1074-1078.
Landry, V.; Blanchet, P. 2012. Surface preparation of wood for application of waterborne coatings. Forest Products Journal 62(2):39-45.
López, A.; Aisa, J.; Martinez, A.; Mercado, D. 2016. Injection moulding parameters influence on weight quality of complex parts by means of DOE application: Case study. Measurement 90:349-356.
Magoss, E. 2015. Evaluating of the surface roughness of sanded wood. Wood Research 60(5):783-790.
Moura, L.F.; Hernandez, R.Z. 2006. Effects of abrasive mineral, grit size and feed speed on the quality of sanded surfaces of Sugar maple wood. Wood Science and Technology 40:517-530.
Ozdemir, T; Hiziroglu, S. 2007. Evaluation of some sanding factors on the surface roughness of particleboard. Silva Fennica 41:373-378.
Ratnasingman, J; Scholz, F. 2006. Optimal surface roughness for high-quality on Rubberwood. Holzals Roh-und Werkstoff 64:343-345.
Saloni, D.E.; Lemaster, R.L.; Jackson, S.D. 2010. Process monitoring evaluation and implementation for the wood abrasive machining process. Sensors 10(11):10401-10412.
Scrinzi, E.; Rossi, S; Deflorian, F; Zanella, C. 2011. Evaluation of aesthetic durability of waterborne polyurethane coatings applied on wood for interior applications. Progress in Organic Coatings 72(1):81-87.
Sulaiman, O; Hashim, R; Subari, K; Liang, C.K. 2009. Effect of sanding on surface roughness of rubberwood. Journal of Materials Processing Technology 209:3949-3955.
Tan, P.L.; Sharif, S; Sudin, I. 2012. Roughness models for sanded wood surfaces. Wood Sci Technol 46:129-142.
Vitosyte, J.J; Ukvalbergiene, K; Keturakis, G. 2012.The effect of surface roughness on adhesion strength of coated Ash (Fraxinus excelsior L.) and Birch (Betula L.) wood. Materials Science (Medziagotyra) 18(4):347-351.
Varanda, L.D.; Alves, M.C.S.; Gonçalves, M.T.T.; Santıago, L.F.F. 2010. Influência das variáveis no lixamento tubular na qualidade das peças de Eucalyptus grandis. Cerne Lavras 16:23-32.
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Published
2017-10-01
How to Cite
Hazir, E., Hüseyin Koc, K., & Hiziroglu, S. (2017). Optimization of sanding parameters using response surface methodology. Maderas-Cienc Tecnol, 19(4), 407–416. Retrieved from https://revistas.ubiobio.cl/index.php/MCT/article/view/2974
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