MILLING OF WOOD MATERIALS WITH COMPUTERIZED NUMERICALLY CONTROLLED (CNC ) ROUTER M.Sc. Ümmü KARAGÖZ Kastamonu University, Faculty of Forestry, Dept. of Forest Industrial Eng, 37100, Kastamonu /TURKEY ukaragoz@kastamonu.edu.tr Preview 1 INTRODUCTION 2 MATERIAL AND METHOD 3 RESULTS AND DISCUSSION 4 CONCLUSIONS 5 2 REFERENCES 1. INTRODUCTION Wood is a sustainable, natural, attractive and aesthetic product, with excellent properties of durability, acoustic performance and fire performance. So, it has wide range of usage. Wood is used in the production of some aspects of internal and external decorative elements by such processes as cutting, planning, CNC milling and sanding. Recently, Computerized numerically controlled (CNC) woodworking machinery that can automatically control the movements of a spindle and table, has been widely introduced in wood industries for automatically cutting, drilling and shaping. 3 CNC Woodworking Machinery History CNC routers were first used by the aerospace industry to cut complex patterns out of sheets of aluminum. And then, by the early 80’s, this technology was used in many types of machinery in the secondary woodworking industry. New functionality and improved performance is being developed day by day which will give CNC an ever increasing role in the success of wood machining sector [6]. Lately, Cad-Cam programs also have started to improve with development of the CNC technologies and increase the importance of design. Woodworking sector has followed this development in terms of both design and engineering. Cad-Cam is the integration of the Cad (design or drafting) process with the Cam (manufacture) of the component [7]. 4 M.Sc. Ümmü KARAGÖZ CNC Woodworking Machinery Recently, CNC woodworking machinery has been widely introduced in wood industries especially, in the furniture industry. CNC has been used for the grooving, milling, patterning of furniture material …ect The CNC woodworking machinery is mainly focused on the achievement of high quality; in term of work piece dimensional accuracy, surface finish, high production rate, less wear on the cutting tools, economy of machining in terms of cost saving and increase of the performance of the product with reduced environmental impact. 5 M.Sc. Ümmü KARAGÖZ The surface quality of wood machined by CNC The surface quality; is one of the most specified customer requirements and the major indicator of surface quality on machined parts is surface roughness. The surface roughness; is mainly a result of various controllable or uncontrollable process parameters. there are a great number of factors influencing the machined surface roughness Fig 1 Effecting factors on surface roughness 6 M.Sc. Ümmü KARAGÖZ The aim of the study The aim of the study was to investigate the machinability of Scotch pine (Pinus sylvestris L.), Oriental beech (Fagus orientalis Lipsky.), Uludağ fir (Abies bornmülleriana Mattf.) and Carolina poplar (Populus canadensis) with the CNC router. . Also, wood samples were machined both tangential directions and radial direction. And then surface quality of tangential and radial direction was compared 7 M.Sc. Ümmü KARAGÖZ MATERIAL AND METHOD In the experiments , different species of hardwoods and softwoods were used. For Hardwoods; beech (Fagus orientalis Lipsky.), Carolina poplar (Populus canadensis) For Softwoods; Scotch pine (Pinus sylvestris L.), Uludağ fir (Abies bornmülleriana Mattf.) o Primarily, wood samples were obtained from these species at 50x50x150 mm dimensions. o The wood samples were conditioned in a conditioning cabin at 20±2˚C temperatures and 70±5% relative humidity to reach Equilibrium Moisture Content (EMC) throughout 8 weeks 8 And then, the moisture contents and density of wood species were determined according to TS 2471 [14] and TS 2472 [15]. Table 1 shown moisture and density values of wood species Moisture content (%) Density (gr/cm³) Oriental beech 12,10 0,671 Carolina poplar 11,35 0,569 Scotch pine 11,85 0,558 Uludağ fir 12,54 0,426 Species 9 Processing parameters; 8 mm of diameter cutter spindle speed 8000 rpm feed rate 6.4 m min-1 cutting depth 4 mm surface roughness was measured by using a stylus type profilometer (Mitutoyo SJ-201). 10 Surface Roughness Parameters average roughness (Ra) , the average distance from the profile to the mean line over the length of assessment Surface roughness parameters mean peak-to-valley height (Rz), can be calculated from the peak-to-valley values of five equal lengths within the profile maximum peak-to-valley height (Rq) , the square root of the arithmetic mean of the squares of profile deviations from the mean line These parameters are characterized by ISO 4287 11 M.Sc. Ümmü KARAGÖZ RESULTS AND DISCUSSION Species Tangential direction Radial direction Ra Rz Rq Ra Rz Rq Oriental beech 5,59 31,55 7,09 5,87 34,48 7,55 Carolina poplar 5,89 34,16 7,78 5,92 33,5 7,74 Scotch pine 5,51 33,59 7,34 6,13 35,55 7,93 Uludağ fir 6,93 38,73 8,86 6,05 34,84 7,64 Table 2 shows moisture and density values of wood species From Table 2, it can be observed that, the surface roughness values average roughness (Ra), mean peak-to-valley height (Rz) , maximum peak-to-valley height (Rq) were higher in the radial direction as compared to the tangential direction 12 The surface roughness of wood species according to tangential and radial direction Figure 3 The surface roughness of wood species according to tangential and radial direction According to the graph, tangential direction in the CNC milling process produces a smoother surface when compared to a radial direction. At the end of the tests realized with similar conditions in the literature, it was shown that the radial direction produced rougher surfaces when compared to the tangential direction. The findings obtained in thi study support the information given in literatures [17, 18, 19, 20]. 13 • The surface defects such as raised grain, fuzzy grain and chipped grain occur in the too much moisture content of wood species. • In order to obtain smoother surface, moisture content should not exceed 12% [10, 21]. When the studies in the literature were examined, it can be stated that there was proportional relationship both density and moisture content with the surface roughness. The values obtained in this study are in conformance with the values in literatures [2, 22, 23]. • In general, the results have shown that the hardwoods have higher processing performance than that of softwoods. In the existing literature, it was disclosed that the surface roughness values for the diffuse porous woods were lower than those for the ring porous woods [24, 25, 26]. 14 CONCLUSION_1 The wood surface roughness directly concerns the final use of wood products. As the surface roughness is most important quality characteristic, the factors that affect surface roughness need to know and to analyse. This factors are related to machining parameters, wood structure properties, cutting tool and cutting properties Being aware of the machining parameters , wood properties and other factors, whether directly or indirectly, contribute to using more efficiently woodworking machinery that were invested a lot. This stduy compered to machinability of wood species such as Scotch pine (Pinus sylvestris L.), Oriental beech (Fagus orientalis Lipsky.), Uludağ fir (Abies bornmülleriana Mattf.) and Carolina poplar (Populus canadensis). 15 CONCLUSION_2 At the same machining conditions (8 mm of diameter cutter, spindle speed 8000 rpm, feed rate 6,4 m min-1 and cutting depth 4 mm), Oriental beech has shown lower surface roughness values and has the highest machinability performance, because of its high density. Density is remarkably the factors influencing the surface roughness. The surface roughness decrease with increasing density value. So Uludağ fir. (Abies bornmülleriana Mattf.) has low density, surface roughness values were obtained highest value in this wood species. Also hardwoods species have shown better processing performance than softwoods. In this study, the surface roughness values (Ra, Rz, Rq) were determined to be higher in the radial direction as compared to the tangential direction. As a consequence, in order to determine surface quality of machined wood by CNC and traditional machine, the many factors that affect on surface roughness must be analyzed separately. 16 REFERENCES Sogutlu, C., and Togay, A., The effect of the process parameters in the planning processes on the surface roughness of cherry and pear woods, African Journal of Biotechnology Vol. 10(21), pp. 4392-4399, 2011. Bajic, D., Lela, B., Zivkovic, D., 2008. Modeling of Machined Surface Roughness and optimization of Cutting Parameters in Face Milling. Metalurgija 47 ( 4), 331-334 Magoss, E., 2008. General Regularities of Wood Surface Roughness. Acta Silv. Lign. Hung. 4;81-93 Ohuchi, T., Murase, Y., 2005. Milling of wood and wood-based materials with a computerized numerically controlled router IV: development of automatic measurement system for cutting edge profile of throw-away type straight bit. J Wood Sci. 51, 278–281 Costes, J.P., Larricq, P., 2002. Towards high cutting speed in wood milling. Annals of Forest Science. 59, 857–865 Albert, A., 2009, Understanding CNC Routers, FPInnovations – Forintek Division, page 116,. Ashley P., Gordon N., Stanley, B.,Wilbrink, F., 2006. Innovative and Interdisciplinary use of Computer Numerical Control (CNC). International Specialised Skills Institute Inc, pp.79, Melbourne. Australia Rashid, M.F.A., Lani, M.R. 2010. Surface Roughness Prediction for CNC Milling Process using Artificial Neural Network, Proceedings of the World Congress on Engineering 2010 Vol III WCE 2010, June 30 - July 2, 2010, London, U.K. Davim, J.P., Clemente V.C., Silva, S., 2009. Surface roughness Aspects in milling MDF (Medium Density Fiberboard). The International Journal of Advanced Manufacturing Technology. 40, 49–55 17 Davis, E.M., 1962. Machining and Related Characteristics of United States Hardwoods. Technical Bulletin No.1267, America. Akbulut, T., Ayrılmış, N., 2006. Effect of Compression Wood on Surface Roughness and Surface Absorption of Medium Density Fiberboar. Silva Fennica 40(1),161-167 Hiziroğlu, S., Kosonkorn, P., 2006, Evaluation of surface roughness of Thai medium density fiberboard (MDF), Building and Environment. 41, 527-533 TS 642 ISO 554, 1997. Standard Atmospheres for Conditioning and/or Testing; Specifications, Ankara. TS 2471, 1976b. Wood-Determination of Moisture Content for Physical and Mechanical Tests, Ankara. TS 2472,1976, Wood - Determination of Density for Physical and Mechanical Tests, Ankara, International Standard ISO 4287. 1997. Geometrical product specifications (GPS) – surface texture:profile method – terms, definitions and surface texture parameters. International Organization for Standardization, Geneva, Switzerland Malkoçoğlu, A., 2007. Machining properties and surface roughness of various wood species planed in different conditions, Building and Environment. 42, 2562-2567 Ors Y, Gurleyen L (2002). Effects of the cutting direction, number of cutter and cutter type to surface smoothness on wood material for planning. J. Polytechnic, 5(4): 335-339. Aguilera, A., Martin, P., 2001. Machining qualification of solid wood of Fagus Silvatica and Picea Excelsa : cutting forces, power requirements and surface roughness, Holz als Roh-und Werkstoff , 59, 483–488 Kilic M., Hiziroglu S., Burdurlu E., 2006. Effect of machining on surface roughness of wood. Building and Environment. 41, 1074–1078 Kurtoglu, A., Kurtoğlu, A., Woodworking Properties. Istanbul University Faculty of Forestry Journal Orman Fakültesi Dergisi (serial B serisi). 31(2), 179-1999 Lin, R.J.T., Houts, J. V., Bhattacharyya, D., 2006. Machinability Investigation of Medium-Density Fiberboard. Holzforschung. 60,71-77 Malkaçoğlu, A., Özdemir, T., 2006. The Machining Properties of some hardwoods and softwoods naturally grown in eastern black sea region of turkey. Journal of materials processing technology. 173 (3), 315-320 Sadoh, T., Nakato, K., 1987. Surface properties of wood in physical and sensory aspects. Wood Science and Technology. 21,111–20. Stewart HA, Murmaris L, River BH. Surface and subsurface characteristics related to abrasive-planing conditions. Wood and Fiber Science 1986;18(1):107–17. Mitchell, P., Lemaster, R., 2002. Investigation of machine parameters on the surface quality in routing soft maple. Forest Products Journal. 52(6); 85–90. 18 M.Sc. Ümmü KARAGÖZ Kastamonu University, Faculty of Forestry, Dept. of Forest Industrial Eng, 37100, Kastamonu /TURKEY ukaragoz@kastamonu.edu.tr THANK YOU LİSTEN TO ME 19