Determination of Optimal Drilling Parameters of Massive Wooden Edge Glued Panels (EGP) and Medium Density Fiberboard using Taguchi Design Method

Year 2022, , 99 - 105, 30.09.2022

Emine Nur Aktaş Sait Dündar Sofuoğlu

https://doi.org/10.30516/bilgesci.1110376

Abstract

In this paper, the optimization of computer numerical control (CNC) drilling parameters was conducted using the Taguchi design method on the drilling holes’ inner surfaces roughness (Ra) massive wooden edge-glued panels (EGP) made of spruce (Picea Orientalis Link.), beech (Fagus Orientalis Lipsky), Iroko (Chlorophora excelsa) and Medium Density Fiberboard surfaced with synthetic resin sheet (MDFlam). Three drilling parameters and their effects on Ra were evaluated. These parameters included spindle speed, feed rate, and cutter type. Surface roughness measurements according to ISO 4287 were performed on the inner surfaces of the holes, and Ra values were obtained. An analysis of variance (ANOVA) was performed to identify the significant factors affecting the Ra. Optimum drilling parameter combinations were acquired by analyzing the signal-to-noise (S/N) ratio. It is shown that the most ideal result was obtained with a two flutes cutter (cutter number 2) at 18000 rpm and feed of 1750 mm/minute for in-hole roughness values of the MDFlam test sample. In the drilling operations performed with a double-entry cutter, the lowest roughness values were obtained in all materials.

Keywords

CNC, Drilling, MDFlam, wood, Taguchi, roughness

References

• Aktaş E.N. (2021). MDFLam ve masif ağaç malzemelerin delinmesinde optimum delme parametrelerinin belirlenmesi. Kütahya Dumlupınar Üniversity, Master’thesis.
• Alves, P.R.G., Goncalves, M.T.T., Alves, M.C.D. (2015). Surface quality of wood in face milling, techniques up-milling and down-milling in CNC machine. 22nd Proceedings of International Wood Machining Seminar (IWMS 22), Quebec City, Canada, 215-222.
• Costes, J.P., Larricq, P. (2002). Towards high cutting speed in wood milling. Annals of Forest Science, 59(8), 856-865. https://doi.org/857-865.10.1051/forest:2002084.
• Davim, J.P., Clemente, V.C., Silva, S. (2009). Surface roughness aspects in milling MDF (Medium Density Fibreboard). International Journal of Advanced Manufacturing Technology. 40(1-2), 49-55. https://doi.org/10.1007/s00170-007-1318-z.
• Davim, J.P. (2011). Wood machining. Iste Ltd., John Wiley and Sons Inc., UK, USA.
• Iskra, P. Tanaka, C. (2005). The influence of wood fiber direction, feed rate, and cutting width on sound intensity during routing. Holz als Roh-und Werkstoff. 63(3), 167-172. https://doi.org/10.1007/s00107-004-0541-7.
• ISO 468 (2009). Surface roughness-parameters, their values and general rules for specifying requirements, International Organization for Standardization, Geneva, Switzerland.
• ISO 3274 (2005). Geometrical Product Specifications (GPS)-Surface texture: Profile method- Nominal characteristics of contact (stylus) instruments, International Organization for Standardization, Geneva, Switzerland.
• ISO 4287 (1997). Geometrical product specifications surface texture profile method terms, definitions and surface texture parameters," International Organization for Standardization, Geneva, Switzerland.
• Kacal, A., Gulesin, M. (2011). Determination of optimal cutting conditions in finish turning of austemperedductile iron using Taguchi design methot, Journal of Scientific and Industrial Research, Vol. 70, 278-283.
• Kacal, A., Sofuoglu, S.D. (2013). Experimentally and statistically evaluting of drilling of massive wooden table which is made of Scotch pine (Pinus sylvestris L.), 21st Proceedings of International Wood Machining Seminar (IWMS 22), Tsukuba, Japan, 421-428.
• Karagoz, U., Akyildiz, M., Isleyen, O. (2011). Effect of heat treatment on surface roughness of thermal wood machined by CNC. Proligno, 7(4), 50-58.
• Sandak, J., Tanaka, C. (2003). Evaluation of surface smoothness by laser displacement sensor-1: effect of wood species, Journal of Wood Science, 49(4), 305-311. https://doi.org/10.1007/s10086-002-0486-6.
• Sutcu, A. (2013). Investigation of parameters affecting surface roughness in CNC routing operation on wooden EGP. Bioresources. 8(1), 795-805.
• Sutcu, A. Karagoz, U. (2013). The influence of process parameters on the surface roughness in aesthetic machining of wooden edge-glued panels (EGPs). BioResources. 8(4), 5435–48. https://doi.org/10.15376/biores.8.4.5435-5448
• 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. Journal of Wood Science, 51(3), 278-281. https://doi.org/10.1007/s10086-004-0663-xh.
• Sofuoğlu, S.D. (2015). Determination of optimal machining parameters of massive wooden edge-glued panelsnade of European larch (Larix decidua mill.) using Taguchi design method. BioResources, 10(4), 7772 - 7781. https://doi.org/10.15376/biores.10.4.7772-7781.
• Sofuoğlu, S.D. (2017). Determination of optimal machining parameters of massive wooden edge glued panels which is made of Scots pine (Pinus sylvestris L.) using Taguchi design method. European Journal of Wood and Wood Products. 75(1), 33-42. https://doi.org/10.1007/s00107-016-1028-z.
• Sofuoglu, S.D., Percin, O., Yesil, H., Kuscuoglu, M.Ö. (2015). Evaluation of hole drilling operations of drill holes some tree species in Turkey, 22nd Proceedings of International Wood Machining Seminar (IWMS 22), Quebec City, Canada, 118-125.
• Valarmathi, T.N., Palanikumar, K., Sekar, S. (2013). Prediction of parametric influence on thrust force in drilling of wood composite panels. IJMMME, 1(1), 71-74.
• Zhong, Z.W., Hiziroglu, S., Chan, C.T.M. (2013). Measurement of the surface roughness of wood-based materials used in furniture manufacture. Measurement. 46(4), 1482-1487. https://doi.org/10.1016/j.measurement.2012.11.041