The effect of the Aspect and machining parameters on CNC machining of solid wood material

Abstract

The selection of wood materials in accordance with the place of use and their processing under the most appropriate conditions will ensure the utilisation of natural resources with high efficiency. In the utilisation of wood material, it is known that the characteristics of the place where it grows and the place where it grows affect the properties of the log and timber obtained. In this study, the surface roughness (Ra) values of larch (Pinus nigra Arnold) and eastern beech (Fagus orientalis Lipsky) wood species growing in northern and southern aspects were determined under various machining parameters. The specimens were grooved using a Scilled 2040 CNC 3-axis milling machine at 3 different feeds of 1000 mm/min, 1500 mm/min and 2000 mm/min, 12000 rpm, 15000 rpm and 18000 rpm, using a 12 mm diameter HSS (High-speed steel) cutter. The surface roughness parameter Ra was determined on the surfaces obtained, and the data obtained was evaluated. When evaluated in general, the lowest Ra value for both wood species was obtained at 18000 rpm at 1000 mm/min for larch and 1000 mm/min or 1500 mm/min for beech at a feed of 1000 mm/min or 1500 mm/min for the specimens obtained from the southern aspect. A linear decrease in Ra value occurred for both wood species with the increased number of revolutions. The lowest Ra values were obtained at 18000 rpm. Generally, the samples obtained from the southern aspect direction gave smoother surfaces for both wood species.

Keywords

• CNC
• wood machining
• aspect
• surface roughness

Masif ahşap malzemenin CNC ile işlenmesinde bakı ve işleme parametrelerinin etkisi

Abstract

Ağaç malzemeler kendine has olumlu özelliklerinden dolayı tarih boyunca pek çok ihtiyaca çözüm olmuştur. Ağaç malzemelerin kullanım yerine uygun olarak seçilmesi ve en uygun koşullarda işlenmesi doğal kaynakların yüksek verimlilikle değerlendirilmesini sağlayacaktır. Ağaç malzemenin kullanım yerinin belirlenmesinde yetiştiği yerin, ve yetiştiği yerin özelliklerinin elde edilen tomruğun ve kerestenin özelliklerine etkisinin olduğu beklenmektedir. Bu çalışmada kuzey bakı ve güney bakı da yetişen karaçam (Pinus nigra Arnold) ve doğu kayını (Fagus orientalis Lipsky) ağaç türlerinin çeşitli işleme koşullarında yüzey pürüzlülük (Ra) değerleri belirlenmiştir. Numuneler Scilled 2040 CNC 3 axis milling machine kullanılarak 1000, 1500 ve 2000 mm /min 3 farklı ilerleme hızında, 12000, 15000 ve 18000 rpm devri sayısında 12 mm çapında HSS kesici kullanılarak kanal açılmıştır. Elde edilen yüzeylerde Ra yüzey pürüzlülük parametresi belirlenmiş ve elde edilen veriler değerlendirilmiştir. Genel olarak değerlendirildiğinde, her iki ağaç türü için en düşük Ra değeri 18000 rpm’de karaçam için 1000 mm/dak, kayın için 1000 veya 1500 mm/dak ilerleme hızında güney bakıdan elde edilen numunelerde elde edilmiştir. Her iki ağaç türü için devir sayısının artması ile birlikte Ra değerinde doğrusal düşme meydana gelmiştir. 18000 rpm’de en düşük Ra değerleri elde edilmiştir. Genel olarak değerlendirildiğinde her iki ağaç türü için Güney bakıdan elde edilen numuneler daha düzgün yüzeyler vermiştir.

Keywords

• CNC
• ahşap işleme
• bakı
• yüzey pürüzlülüğü

References

1. Acik, C. (2023). Investigation of the innovation of traditional wood marquetry technique with CNC laser technology: a design study. European Journal of Wood and Wood Products. 81, 791–799. https://doi.org/10.1007/s00107-022-01910-7
2. Aktaş, E.N., Sofuoglu, S.D. (2022). Determination of optimal drilling parameters of massive wooden edge-glued panels (EGP) and medium-density fiberboard using the Taguchi Design Method. Bilge International Journal of Science and Technology Research, 6(2), 99-105. https://doi.org/10.30516/bilgesci.1110376
3. Aktaş, E.N., Sofuoglu, S.D. (2022). Investigation of delamination factor using Taguchi design method in drilling MDFlam. Furniture and Wooden Material Research Journal, 5(1), 29-39. https://doi.org/10.33725/mamad.1126117
4. Bal, B.C., Mengeloglu, F., Akcakaya, E., Gundes, Z. (2022). Effects of cutter parameters on surface roughness of fiberboard and energy consumption of CNC machine. Kastamonu University Journal of Forestry Faculty, 22(3), 264-272. https://doi.org/10.17475/kastor-man.1215347
5. Cakıroglu, E. O., Demir, A., Aydın, I., Buyuksari, U. (2022). Prediction of optimum CNC cutting conditions using artificial neural network models for the best wood surface quality, low energy consumption, and time savings. BioResources, 17(2), 2501.2524. https://doi.org/10.15376/biores.17.2.2501-2524
6. Davim, J.P., Clemente, V.C. Silva, S. (2009). Surface roughness aspects in milling MDF (medium density fibreboard). The International Journal of Advanced Manufacturing Technology, 40, 49–55. https://doi.org/10.1007/s00170-007-1318-z
7. Demir, A., Birinci, A.U., Ozturk, H. (2021). Determination of the surface characteristics of medium density fibreboard processed with CNC machine and optimisation of CNC process parameters by using artificial neural network. CIRP Journal of Manufacturing Science and Technology, 35, 929-942. https://doi.org/10.1016/j.cirpj.2021.10.005
8. Demir, A., Cakiroglu, E. O., Aydin, I. (2022a). Effects of CNC processing parameters on wood-based panels' surface quality in the furniture industry. Drvna industrija, 73(4), 363-371.

9. Demir, A., Cakiroglu, E. O., Aydin, I. (2022b). Determination of CNC processing parameters for the best wood surface quality via artificial neural network. Wood Material Science & Engineering, 17(6), 685-692. https://doi.org/10.1080/17480272.2021.192966
10. Dumanoglu, F., Bal, B.C. (2022). Effects of machining parameters on the processing time and surface roughness of fıberboards formed by CNC machine. Kahramanmaras Sutcu Imam University Journal of Engineering Sciences, 25(4) 615-621. https://doi.org/10.17780/ksujes.1144224
11. Gurau, L., Coşereanu, C., Timar, M.C., Lungu, A., Condoro¸teanu, C.D. (2022). The comparative surface quality of maple (Acer pseudoplatanus) cut through by CNC routing and CO2 laser at different angles related to the wood grain. Coatings, 12, 1982. https://doi.org/10.3390/coatings12121982
12. Hazir, E., Erdinler, E.S., Koc, K.H. (2018). Optimisation of CNC cutting parameters using design of experiment (DOE) and desirability function. Journal of Forestry Research, 29, 1423–1434. https://doi.org/10.1007/s11676-017-0555-8
13. Hazir, E., Koc, K. H. (2019). Optimisation of wood machining parameters in CNC routers: Taguchi orthogonal array based simulated angling algorithm. Maderas. Ciencia y tecnología, 21(4), 493-510.
14. ISO 13061 (2014). Wood - Determination of moisture content for physical and mechanical tests, International Organization for Standardization, Geneva, Switzerland.
15. ISO 13061-2 (2014). Wood - Determination of density for physical and mechanical tests, International Organization for Standardization, Geneva, Switzerland.
16. ISO 24118-1:2023: Paper and board — Stylus contact method — Part 1: Determination of surface roughness, International Organization for Standardization, Geneva, Switzerland.
17. Kaba, O., Bal, B.C. (2024). Investigation of the effect of CNC machine cutting parameters on the surface roughness of walnut wood. Kahramanmaras Sutcu Imam University Journal of Engineering Sciences, 27(1), 69-77. https://doi.org/10.17780/ksujes.1352802
18. Koc, K.H., Erdinler, E.S., Hazir, E., Oztürk, E., (2017). Effect of CNC application parameters on wooden surface quality. Measurement, 107, 12-18. https://doi.org/10.1016/j.measurement.2017.05.001
19. Koleda, P., Koleda, P., Hrčková, M., Júda, M., & Hortobágyi, Á. (2023). Experimental granulometric characterisation of wood particles from CNC machining of chipboard. Applied Sciences, 13(9), 5484. https://doi.org/10.3390/app13095484
20. Kminiak, R., Kučerka, M., Kristak, L., Reh, R., Antov, P., Očkajová, A., Rogoziński, T., Pędzik, M. (2021). Granulometric characterisation of wood dust emission from CNC machining of natural wood and medium-density fiberboard, Forests, 12(8), 1039.
21. Ohuchi, T. (2001). Wood and wood-based materials are milled with a computerised numerically controlled router I: on the machining accuracy for grooving. Mokuzai Gakkaishi, 47, 212-217.
22. Pelit, H., Korkmaz, M., Budakci, M. (2021). Surface roughness of thermally treated wood cut with different parameters in CNC router machine. BioResources, 16(3), 5133-5147. https://doi.org/10.15376/biores.16.3.5133-5147
23. Sofuoglu, S.D., Kurtoglu, A. (2014). Some machining properties of 4 wood species grown in Turkey. Turkish Journal of Agriculture and Forestry, 38(3), 420-427. https://doi.org/10.3906/tar-1304-124
24. Sofuoglu, S.D., Kurtoglu, A. (2015). Effects of machining conditions on surface roughness in planing and sanding of solid wood. Drvna industrija, 66(4), 265-272. https://doi.org/10.5552/drind.2015.1406
25. Sofuoglu, S.D., (2015a). Determination of optimal machining parameters of massive wooden edge-glued panels made of European larch (Larix decidua Mill.) using the Taguchi design method. BioResources, 10(4): 6797-6808. https://doi.org/10.15376/biores.10.4.7772-778
26. Sofuoglu, S.D., Tosun, M., Atilgan, A., (2023). Determination of the machining characteristics of Uludağ fir (Abies nordmanniana Mattf.) densified by compressing. Wood Material Science & Engineering, 18(3), 841–851. https://doi.org/10.1080/17480272.2022.2080586
27. Sutçu, A., Karagoz, U. (2012). Effect of machining parameters on surface quality after face milling of MDF, Wood Research, 57(2), 231-240.
28. Sutçu, 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).
29. Tosun, M., Sofuoglu, S.D. (2023). Using an artificial neural network for predicting the machining characterising of wood materials densified by compressing. Bilge International Journal of Science and Technology Research, 7(1), 55-62. Tosun, M., Sofuoglu, S.D. (2023). Determination of processing characteristics of wood materials densified by compressing. Maderas-Cienc Tecnol, 25, 1-16. https://doi.org/10.4067/s0718-21x2023000100427
30. TS 2495 EN ISO 3274 (2005). Geometrical Product Specifications (GPS)-Surface texture: Profile method - Nominal characteristics of contact (stylus) instruments, Turkish Standard Institution, Ankara, Turkiye
31. TS EN ISO 21920-3. (2022). Geometrical product specifications (GPS) - Surface texture: Profile - Part 3: Specification operators, Turkish Standard Institution, Ankara, Turkiye.