Analyze the effects of CNC machining parameters on the surface roughness (Rz) of Anatolian chestnut

Öz

The effect of processing parameters on the surface roughness parameter Rz (mean peak-to-valley height) in CNC machining of Anatolian chestnut (Castenia sativa Mill.) wood species used in the woodworking and furniture industry was investigated. The machining conditions were determined to obtain the lowest Rz value. The experi-ments were carried out at the speeds of 8000, 12000, and 16000 rpm and the feed rates of 1000, 1500, and 2000 mm/min with 3 and 4 machining layers by using two different cutters with a diameter of 8 mm. Rz measurements were made on the obtained surfaces using the needle scanning method according to TS EN ISO 21920-2 (2021). In the measurements perpendicular to the fibers, the lowest Rz values were obtained with cutter type 2 (the cutter of the three cutting edge straight end mill), at 16000 rpm speed, 1000/2000 mm/min feed rate, and four machining layers. In the measurements made parallel to the fibers, the lowest Rz values were obtained at the cutter type 2 (the cutter of the three cutting edge straight end mill), at the speed of 16000 rpm and the feed rate of 1000/2000 mm/min and 4th step-down. A smooth surface (lower Rz value) was obtained with fourth cuts (step down, cut layer) instead of third cuts.

Anahtar Kelimeler

• Keywords: Anatolian chestnut CNC
• machining
• surface roughness
• Rz.

Anadolu kestanesi (Castenia sativa Mill.)’nin CNC ile işlenmesinde zemin yüzeyde Rz pürüzlülük değerine işleme parametrelerinin etkisi

Öz

Mobilya ve ağaç işleme sanayiisinde kullanılan yerli ağaç türlerinden Anadolu kestanesi (Castenia sativa Mill.)’nin CNC ile işlenmesinde işleme parametrelerinin Rz yüzey pürüzlülük parametresi üzerine etkisi incelenmiştir. En düşük Rz değerinin elde edilebilmesi için işleme koşulları belirlenmiştir. Denemeler iki farklı kesici kullanılarak (çap=8 mm) 8000, 12000 ve 16000 devir/dakika devir sayılarında ve 1000, 1500 ve 2000 mm/dak ilerleme hızlarında 3 ve 4 olmak üzere farklı iki işleme katman sayısında yapılmıştır. İşleme sonucu meydana gelen yüzeylerin zeminlerinde dokunmalı iğne taramalı yöntem kullanılarak TS 6956 EN ISO 4287’ e göre Rz (ortalama tepe-vadi yüksekliği) tespiti yapılmıştır. Liflere dik yapılan ölçümlerde en düşük Rz değerleri 2 no’lu (3 kesici kenarlı düz parmak freze) kesici tipinde, 16000 dev/dak devir sayısında, 1000/2000 mm/dak ilerleme hızında ve 4 işleme katman sayısında elde edilmiştir. Liflere paralel yapılan ölçümlerde en düşük Rz değerleri 2 no’lu kesici (3 kesici kenarlı düz parmak freze) tipinde, 16000 dev/dak devir sayısında, 1000/2000 mm/dak ilerleme hızında ve 4 işleme katman sayısında elde edilmiştir. 3 kesiş ile alan boşaltma yerine 4 kesiş ile yapılan alan boşaltma da düzgün yüzey (daha düşük Rz değeri) elde edilmiştir.

Anahtar Kelimeler

• Anadolu kestanesi
• CNC
• işleme
• yüzey pürüzlülüğü
• Rz.

Kaynakça

1. Aras, O., 2019. Investigation of the Relationship Between Ma-chining Parameters in Different Massive Wood Sections at CNC Milling Operations, Kutahya Dumlupinar University, Graduate School of Sciences, Master Thesis, Kutahya, Turkiye.
2. Aykaç, E., 2018. Investigation of the effect of machining pa-rameters on surface quality in Bamboo, Kutahya Dumlupinar University, Graduate School of Sciences, Master thesis, Kutahya, Turkiye.
3. Aykac, E., Sofuoglu, S.D., 2021. Investigation of the effect of machining parameters on surface quality in bamboo. Tehnicki Vjesnik-Technical Gazette, 28(2): 684-689. https://doi.org/10.17559/TV-20200102202928
4. Bal, B.C., 2018. The effects of some tool paths adjustments of CNC machines on surface roughness and processing time of fiberboards, Furniture and Wooden Material Research Journal, 1(1): 21-30. https://doi.org/10.33725/mamad.427588
5. Bal, B.C., Akçakaya, E., 2018. The effects of step over, feed rate and finish depth on the surface roughness of fiberboard processed with CNC machine, Furniture and Wooden Material Research Journal, 1(2): 86-93. https://doi.org/10.33725/mamad.481278
6. Bal, B. C., Mengeloglu, F., Akcakaya, E., Gündes, Z., 2022. Effects of cutter parameters on surface roughness of fiberboard and energy consumption of CNC machine. Kastamonu Universi-ty Journal of Forestry Faculty, 22(3): 264-272. https://doi.org/10.17475/kastorman.1215347
7. Dumanoglu, F., Bal, B.C., 2022. Effects of machining parame-ters on the processing time and surface roughness of fıberboards formed by CNC machine. Kahramanmaras Sutcu Imam Univer-sity Journal of Engineering Sciences, 25(4) 615-621.https://doi.org/10.17780/ksujes.1144224
8. Ergin, U., Sofuoglu, S. D., 2023. Determination of machining characteristics of heat-treated Siberian pine (Pinus sibiri-ca). Drvna Industrija, 74(2): 139-152. https://doi.org/10.5552/drvind.2023.0003

9. Gurau, L., Irle, M., 2017, Surface roughness evaluation methods for wood products: A review, Current Forestry Reports, 3: 119-131. https://doi.org/0.1007/s40725-017-0053-4
10. Hazir, E., Erdinler, E.S., Koc, K.H., 2018. Optimization of CNC cutting parameters using design of experiment (DOE) and desir-ability function. Journal of Forestry Research, 29(5): 1423-1434. https://doi.org/10.1007/s11676-017-0555-8
11. Isleyen, U.K., Karamanoglu, M., 2019. The influence of ma-chining parameters on surface roughness of MDF in milling operation. BioResources, 14(2): 3266-3277. https://doi.org/10.15376/biores.14.2.3266-3277
12. ISO 21920-2, 2021. Geometrical product specifications (GPS) - Surface texture: Profile - Part 2: Terms, definitions and surface texture parameters
13. Jakub, S., Martino, N., 2005. Wood surface roughness-What is it, Rosenheim Workshop, 29–30 September 2005, Boku Univer-sity of Natural Resources and Applied Life Sciences, Vienna, Austria.
14. 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 Engi-neering Sciences, 27(1): 69-77. https://doi.org/10.17780/ksujes.1352802
15. Kaçal, A., Sofuoğlu, S.D., 2013. Experimentally and Statistically Evaluating of Drilling of Massive Wooden Table which is Made of Scotch Pine (Pinus sylvestris L.), 21st International Wood Machining Seminar, Tsukuba International Congress Center, Tsukuba, Japan. August 4-7, 2013, 421-428.
16. Karagöz, Ü., 2010. Investigation of Machining Parameters on the Surface Quality in CNC Routing Wood And Wood-Based Mate-rials, Süleyman Demirel University, Graduate School of Scienc-es, Master thesis, Isparta.
17. Karagöz, Ü., 2011. The effecting factors on surface quality of wood and wood-based materials machined by CNC. Kastamonu University Journal of Forestry Faculty, 11(1): 18-26.
18. Kilic, M., Hiziroglu, S., Burdurlu, E., 2006, Effect of machining on surface roughness of wood, Building and Environment, 41(8): 1074-1078. https://doi.org/10.1016/j.buildenv.2005.05.008.
19. Khorasani, A.M., Yazdi, M.R.S., Safizadeh, M.S., 2012, Analy-sis of machining parameters effects on surface roughness: a review, Int. J. Computational Materials Science and Surface Engineering, 5(1): 68-84
20. Koc, K.H., Erdinler, E.S., Hazır, E., Öztürk, E., 2017. Effect of CNC application parameters on wooden surface quality, Meas-urement, 107: 12-18. https://doi.org/10.1016/j.measurement.2017.05.001
21. Koç, K.H, Koç, R., 2005. Bilgisayar destekli üretim ve Türkiye mobilya endüstrisinin geleceği, Mobilya Dekorasyon, 67: 22-38. http://nek.istanbul.edu.tr:4444/ekos/MAKALE/M4628.pdf
22. Malkoçoglu, A., Ozdemir, 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. https://doi.org/10.1016/j.jmatprotec.2005.09.031
23. Sofuoğlu, S.D., 2008. Effect of Wood Machining Properties of Some Native Wood Species on Surface Quality, İstanbul Univer-sity, Institute of Sciences, PhD thesis, Istanbul.
24. Sofuoglu, S.D., 2015a. Determination of optimal machining parameters of massive wooden edge-glued panels made of Eu-ropean larch (Larix decidua Mill.) using Taguchi design method. BioResources, 10(4): 6797-6808. https://doi.org/10.15376/biores.10.4.7772-7781
25. Sofuoglu, S.D., 2015b. Using artificial neural networks to model the surface roughness of massive wooden edge-glued panels made of scotch pine (Pinus sylvestris L.) in a machining process with computer numerical control. BioResources, 10(4): 6797-6808. https://doi.org/10.15376/biores.10.4.6797-6808
26. Sofuoglu, S.D., 2016. Determination of Optimal Machining Parameters of Massive Wooden Edge- Glued Panels Which is Made of Scots Pine (Pinus sylvestris L.), Using Taguchi Design Methods. European Journal of Wood and Wood Products, 75(1):33-42. https://doi.org/10.1007/s00107-016-1028-z
27. Sofuoglu, S.D., Kaçal, A., 2013. Investigating of machining performance in terms of tool wear and hole accuracy in drilling of particleboard surfaced with synthetic resin sheet, 21st Interna-tional Wood Machining Seminar, Tsukuba International Con-gress Center, Tsukuba, Japan, August 4-7, 2013, s. 233-240.
28. Sofuoglu, S.D., Kurtoǧlu, A., 2014. Some machining properties of 4 wood species grown in Turkey. Turkish Journal of Agricul-ture and Forestry, 38(3): 420-427. https://doi.org/10.3906/tar-1304-124
29. Sofuoglu, S. D., Tosun, M., Atılgan, 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
30. Sutçu, A., Karagoz, U., 2012. Effect of machining parameters on surface quality after face milling of MDF, Wood Research, 57(2): 231-240.
31. Tiryaki, S., 2014. Effecting factors on surface roughness in wood machining. 15(2): 176-182. https://doi.org/10.18182/tjf.93755
32. Tosun, M., 2021. The Effect of Thermo-Mechanical Densifica-tion on Machining Properties of Massive Wooden Material, Kutahya Dumlupinar University, Institute of Graduate Educa-tion, Master thesis, Kutahya, Turkiye.
33. Tosun, M., Sofuoglu, S. D., 2023. The use of 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.
34. Tosun, M., Sofuoglu, S. D. (2023). Determination of processing characteristics of wood materials densified by compress-ing. Maderas. Ciencia y tecnología, 25:1-16. http://dx.doi.org/10.4067/s0718-221x2023000100427
35. Usta, I., Demirci, S., Kılıç, Y., 2007. Comparison of surface roughness of Locust Acacia (Robinia pseudoacacia L.) and European Oak (Quercus petraea (Mattu.) Lieble.) in terms of the preparative process by planning. Building and Environment, 42: 2988-2992.
36. Vitosytė, J., Ukvalbergienė, K., and Keturakis G., 2015. Rough-ness of sanded wood surface: an impact of wood species, grain direction and grit size of abrasive material. Materials Science (Medžiagotyra), 21(2): 255-259 (5), https://doi.org/10.5755/j01.mm.21.2.5882