Optimization of Surface Roughness in Turning of AZ31 Magnesium Alloys With Taguchi Method

Yıl 2019, Cilt: 6 Sayı: 1, 25 - 32, 29.03.2019

Ömer Asal

Öz

In this paper, the effects of the different cutting parameters on the surface roughness in turning AZ31 magnesium alloys were investigated. Three cutting parameters, such as depth of cut (t), feed rate (f) and cutting speed (V), were used in the turning operation. Experiments were designed for L9 Taguchi’s model. Tests were performed on a CNC lathe. The surface roughness values were measured in the tests. Taguchi and ANOVA analysis were evaluated to detect main effect parameters and their contribution ratios. The optimum cutting parameters for the surface roughness were computed as “t” at level 2 (2 mm), “f” at level 1 (0.2 mm/rev) and “V” at level 1 (320 m/min). Moreover, empirical equations were developed by using regression analysis (RA) to predict the surface roughness and compared to experimental results.

Anahtar Kelimeler

Turning, AZ31, Taguchi Method, ANOVA, Surface Roughness

Kaynakça

• [1] Zeng, R.C., Chen, J., Dietzel, W., Zettler, R., Santos, J.F.D., Nascimento, M.L., Kainer, K.U., “Corrosion of friction stir welded magnesium alloy AM50”, Corrosion Science, 51 (2009), 1738-1746. https://doi.org/10.1016/j.corsci.2009.04.031
• [2] Dhanapal, A., Boopathy, S.R., Balasubramanian, V., “Corrosion behaviour of friction stir welded AZ61A magnesium alloy welds immersed in NaCl solutions”, Transactions of Nonferrous Metals Society of China, 22 (2012), 793-802. https://doi.org/10.1016/S1003-6326(11)61247-8
• [3] Prakash K.S., Sukhomay P., “Multi-response optimization of process parameters in friction stir welded AM20 magnesium alloy by Taguchi grey relational analysis”, Journal of Magnesium and Alloys 3 (2015), 36-46. https://doi.org/10.1016/j.jma.2014.12.002
• [4] Tönshoff, H.K., Winkler, J., “The influence of tool coatings in machining of magnesium”, Surface & Coatings Technology, 94-95 (1997), 610-616. https://doi.org/10.1016/S0257-8972(97)00505-7
• [5] Kaining S., Dinghua Z., Junxue R., “Optimization of process parameters for surface roughness and microhardness in dry milling of magnesium alloy using Taguchi with grey relational analysis”, Int. J. Adv. Manuf. Technol., 81 (2015), 645-651 DOI 10.1007/s00170-015-7218-8
• [6] Denkena, B., Lucas, A., “Biocompatible magnesium alloys as absorbable implant materials-adjusted surface and subsurface properties by machining processes”, CIRP Ann Manuf. Technol. 56 (2007), 113-116. https://doi.org/10.1016/j.cirp.2007.05.029
• [7] Umbrello, D., “Investigation of surface integrity in dry machining of Inconel 718”, Int. J. Adv. Manuf. Technol,. 69 (2013), 2183-2190. DOI 10.1007/s00170-013-5198-0
• [8] Jin, D., Liu, Z., “Effect of cutting speed on surface integrity and chip morphology in high-speed machining of PM nickel-based superalloy FGH95”, Int. J. Adv. Manuf. Technol., 60 (2011), 893-899. DOI 10.1007/s00170-011-3679-6
• [9] Pu, Z., Outeiro, J.C., Batista, A.C., Dillon, Jr. O.W., Puleo, D.A., Jawahir, I.S., “Surface Integrity in Dry and Cryogenic Machining of AZ31B Mg Alloy with Varying Cutting Edge Radius Tools”, 1st CIRP Conference on Surface Integrity (CSI), Procedia Engineering, 19 (2011) 282-287. https://doi.org/10.1016/j.proeng.2011.11.113
• [10] Taguchi G., ElSayed E. A., and Hsiang T. C., “Quality Engineering in Production Systems”, McGraw–Hill, New York, NY, USA, (1989).
• [11] Ross P.J., “Taguchi Techniques for Quality Engineering”, 2nd ed., McGraw-Hill, New York, USA, (1996).
• [12] Zhang J. Z., Chen, J.C., and Kirby, E.D., “Surface roughness optimization in an end-milling operation using the Taguchi design method”, Journal of Materials Processing Technology 184 (2007), 233-239. https://doi.org/10.1016/j.jmatprotec.2006.11.029
• [13] Çakıroğlu, R., Acır, A., “Optimization of cutting parameters on drill bit temperature in drilling by Taguchi method”, Measurement 46 (2013), 3525-3531. https://doi.org/10.1016/j.measurement.2013.06.046
• [14] Yang, W.H., and Tarng, Y.S., “Design optimization of cutting parameters for turning operations based on the Taguchi method”, Journal of Materials Processing Technology, 84 (1998), 122-129. https://doi.org/10.1016/S0924-0136(98)00079-X
• [15] Acır, A., Canlı, M.E., Ata, I., Çakıroğlu, R., “Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis”, Applied Thermal Engineering, 122 (2017), 330-338. https://doi.org/10.1016/j.applthermaleng.2017.05.018
• [16] Çakıroğlu, R., Acır, A., “Taguchi optimization method of tool chip interface temperature depending on the cutting parameters in drilling operations”, Makine Teknolojileri Elektronik Dergisi, 10 (2013), 73-86
• [17] Baysal, E., Bilginsoy, A.K., Acır, A., “Parametric optimization on exergy analysis of a thermal power plant using Taguchi Method”, Energy Education Science and Technology Part A-Energy Science and Research, 29 (2012), 1313-1326.
• [18] Kayir Y. “Optimization of the Cutting parameters for Drilling Magnesium Alloy AZ 91”, Materials Testing, 56(1), (2014), 47-53.
• [19] Yalçin N., Kayir Y., Erkal S. “Investigation of Effects of The Aging Methods Applied on AA2024 Aluminium Alloys on Machinability With Taguchi and ANOVA”, Journal of Polytechnic, 20, (2017), 743-751., Doi: 10.2339/politeknik.368552
• [20] Sarikaya, M., Yilmaz, V., Dilipak, H., “Modeling and multi-response optimization of milling characteristics based on Taguchi and gray relational analysis”, Proc. Inst. Mech. Eng. Part B-J. Eng. Manuf., 230 (June) (2016), pp. 1049-1065. https://doi.org/10.1177/0954405414565136