Tool Wear in GGG50 Cast Iron Milling Environments

Year 2024, Volume: 12 Issue: 3, 1506 - 1517, 31.07.2024

Abdulkadir Orak , Ali Kalyon

https://doi.org/10.29130/dubited.1353261

Abstract

In the present study, the impression of manufacturing parameters on cutting tool tip wear in the milling operation of GGG50 cast iron material with carbide coated cutting tool inserts was investigated. Taguchi orthogonal L18 experimental sequence was applied as the experimental design. As processing parameters; cutting speed, coolant and feed rate were chosen. In the test results, the amount of wear on the cutting tool tips was examined. Optimum processing multiparameters were determined by the Taguchi. Analysis of variance (ANOVA) was used to analyses the effect of input parameters on the cutting tool tip. Consequently, it has been determined that the wear is high in the working environment where the coolant is open and the cutting speed is high. In order to keep the cutting tool tip wear at a minimum level, the most suitable machining parameters are; coolant = closed, cutting speed = 160 mm/min, feed rate = 0.3 mm/rev. It was determined that the tip feed rate had little impression on tool wear.

Keywords

Milling, cast iron, tool wear, optimization, Taguchi, ANOVA

GGG50 Dökme Demir Frezeleme Ortamlarında Takım Aşınması

Abstract

Bu çalışmada GGG50 dökme demir malzemesinin karbür kaplanmış kesici takım uçlarla frezeleme işlemindeki imalat parametrelerinin takım aşınması üzerine etkisi incelenmiştir. Deney tasarımı olarak Taguchi ortogonal L18 deney dizisi uygulanmıştır. İşleme parametreleri olarak; soğutma sıvısı, kesme hızı ve ağız başı ilerleme seçilmiştir. Yapılan deney sonuçlarında kesici takım uçlarındaki aşınma miktarları incelenmiştir. Optimum işleme parametrelerinin belirlenmesi için Taguchi yöntemi kullanılmıştır. Giriş parametrelerinin kesici takım ucuna olan etkisini incelemek için varyans analizi (ANOVA) yapılmıştır. Sonuç olarak soğutma sıvısının açık ve kesme hızının yüksek olduğu çalışma ortamında kesici takım ucu aşınmasının yüksek olduğu belirlenmiştir. Kesici takım ucu aşınmasını en az seviyede tutmak için en uygun işleme parametrelerin; soğutma sıvısı = kapalı, kesme hızı = 160 mm/min, ağız başı ilerleme = 0.3 mm/rev olduğu saptanmıştır. Ağız başı ilerlemenin takım aşınmasına etkisinin çok az olduğu belirlenmiştir.

Keywords

Frezeleme, dökme demir, takım aşınması, optimizasyon, Taguchi, ANOVA

Supporting Institution

Döktaş Dökümcülük Ticaret ve San. A.Ş.

References

• [1] Wojciechowski, S., Talar, R., Zawadzki, P., & Wieczorowski, M., “Evaluation of physical indicators and tool wear during grooving of spheroidal cast iron with a novel WCCo/cBN (BNDCC) inserts,” Wear, 454, 203301, 2020.
• [2] Grzesik, W., Kiszka, P., Kowalczyk, D., Żak, K., & Rech, J., “Investigation of the machining process of spheroidal cast iron using cubic boron nitride (CBN) tools,” Metalurgija, vol. 53, no. 1, 33-36, 2014.
• [3] Özcan, B., “Gri dökme demir malzemelerin işlenebilirliğinin deneysel ve sayısal olarak incelenmesi,” (Doctoral dissertation, Yüksek Lisans Tezi Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Ankara), 2018.
• [4] Sur, Gökhan, “Karma takviyeli alüminyum matriksli kompozitlerin üretimi, mekanik özellikler ve işlenebilirliklerinin incelenmesi,” Gazi Üniversitesi Fen Bilimleri Enstitüsü, Doktora Tezi, Ankara, 2008.
• [5] Şirin, Ş., & ŞİRİN, E., “AISI D2 Soğuk İş Takım Çeliğinin Frezelenmesi Üzerine Bir Derleme,” İmalat Teknolojileri ve Uygulamaları, vol. 1, no. 2, 14-24, 2020.
• [6] Kilincarslan, E., Kilincarslan, S. K., & Cetin, M. H., “Evaluation of the clean nano-cutting fluid by considering the tribological performance and cost parameters,” Tribology International, 157, 106916, 2021. [7] Nayyar, V., Kaminski, J., Kinnander, A., & Nyborg, L., “An experimental investigation of machinability of graphitic cast iron grades; flake, compacted and spheroidal graphite iron in continuous machining operations,” Procedia Cirp, 1, 488-493, 2012.
• [8] Velan, M. V. G., Shree, M. S., & Muthuswamy, P., “Effect of cutting parameters and high-pressure coolant on forces, surface roughness and tool life in turning AISI 1045 steel,” Materials Today: Proceedings, 43, 482-489, 2021.
• [9] Del Val, A. G., Alonso, U., Veiga, F., & Arizmendi, M., “Wear mechanisms of TiN coated tools during high-speed tapping of GGG50 nodular cast iron,” Wear, 514, 204558, 2023.
• [10] Sun, H., Liu, Y., Pan, J., Zhang, J., & Ji, W., “Enhancing cutting tool sustainability based on remaining useful life prediction,” Journal of Cleaner Production, 244, 118794, 2020.
• [11] Kıvak, T., “Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts,” Measurement, 50, 19-28, 2014.
• [12] George, P., & Selvaraj, D. P., “Cutting parameter optimization of CNC dry milling process of AISI 410 and 420 grade MSS,” Materials Today: Proceedings, 42, 897-901, 2021.
• [13] Lakshmi, V. V. K., & Subbaiah, K. V., “Modelling and optimization of process parameters during end milling of hardened steel,” International Journal of Engineering Research and Applications, vol. 2, no. 2, 674-679, 2012.
• [14] Patil, S., Rao, P. S., Prabhudev, M. S., Khan, M. Y., & Anjaiah, G., “Optimization of cutting parameters during CNC milling of EN24 steel with Tungsten carbide coated inserts: A critical review,” Materials Today: Proceedings, 62, 3213-3220, 2022.
• [15] Singh, B., & Rao, P. S., “Optimization of machining parameters during CNC milling of Incoloy 800,” OPTIMIZATION, vol. 5, no. 04, 2019.
• [16] Iliescu, D. M. F. D., Gehin, D., Gutierrez, M. E., & Girot, F., “Modeling and tool wear in drilling of CFRP,” International Journal of Machine Tools and Manufacture, vol. 50, no. 2, 204-213, 2010.
• [17] Bolat, Ç., Karakılınç, U., Yalçın, B., Öz, Y., Yavaş, Ç., Ergene, B., ... & Akkoyun, F., “Effect of drilling parameters and tool geometry on the thrust force and surface roughness of aerospace grade laminate composites,” Micromachines, vol. 14, no.7, 1427, 2023.
• [18] Yalçın, B., Yüksel, A., Aslantaş, K., Der, O., & Ercetin, A., “Optimization of Micro-Drilling of Laminated Aluminum Composite Panel (Al–PE) Using Taguchi Orthogonal Array Design,” Materials, vol. 16, no. 13, 4528, 2023.
• [19] Cetin, M. H., Ozcelik, B., Kuram, E., & Demirbas, E., “Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method,” Journal of Cleaner Production, vol. 19, no. (17-18), 2049-2056, 2011.
• [20] Asiltürk, I., & Akkuş, H., “Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method, “Measurement, vol. 44, no. 9, 1697-1704, 2011.
• [21] Rao, P. S., Prabhudev, M. S., Kohir, V., & Anjaiah, G., “CNC milling of EN24 steel for assessment of the process parameters using OFAT technique: A preliminary investigation,” Materials Today: Proceedings, 2023.
• [22] Sahoo, A., Orra, K., & Routra, B., “Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert, “International Journal of Industrial Engineering Computations, vol. 4, no. 4, 469-478, 2013.
• [23] Kar, B. C., Panda, A., Kumar, R., Sahoo, A. K., & Mishra, R. R., “Research trends in high speed milling of metal alloys: A short review,” Materials Today: Proceedings, 26, 2657-2662, 2020.
• [24] Shih, A. J., Tai, B. L., Li, R., Shih, A. J., Tai, B. L., & Li, R., “Experimental Analysis of Cast Iron Drilling with Dry and MQL Conditions,” Metal and Bone Drilling-The Thermal Aspects, 77-93, 2019.
• [25] Gueli, M., Ma, J., Cococcetta, N., Pearl, D., & Jahan, M. P., “Experimental investigation into tool wear, cutting forces, and resulting surface finish during dry and flood coolant slot milling of Inconel 718,” Procedia Manufacturing, 53, 236-245, 2021.
• [26] Khatri, A., Jahan, M. P., & Ma, J., “Assessment of tool wear and microstructural alteration of the cutting tools in conventional and sustainable slot milling of Ti-6Al-4V alloy,” The International Journal of Advanced Manufacturing Technology, 105, 2799-2814, 2019.
• [27] Kawade, P. B., & Bokade, S., “Comparison study on effect of different lubrication methods on tool wear and surface roughness during end milling of die tool steel,” Materials Today: Proceedings, 2023.
• [28] Mukkoti, V. V., Mohanty, C. P., Gandla, S., Sarkar, P., & P, S. R., “Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II,” Production & Manufacturing Research, vol. 8, no. 1, 291-312, 2020.
• [29] Kumar, S., & Rao, P. S., “Machining of EN31 Steel using CNC Vertical Milling Machine for different parameters: A Review,” J. Univ. Shanghai Sci. Technol., vol. 24, no. 4, 2022.
• [30] Deepak, D., & Beedu, R., “Multi response optimization of process parameters using grey relational analysis for turning of Al-6061,” In IOP Conference Series: Materials Science and Engineering (Vol. 225, No. 1, p. 012092), 2017.
• [31] Taher, M. B., Pelay, U., Russeil, S., & Bougeard, D., “A novel design to optimize the optical performances of parabolic trough collector using Taguchi, ANOVA and grey relational analysis methods,” Renewable Energy, 119105, 2023.
• [32] Sachin, K. G., Chandan, B. M., & Sagar, M. A., “Experimental investigation and optimization of light transmitting brick using ANOVA method of regression using Minitab software,” Materials Today: Proceedings, 2023.
• [33] Yarar, E., & Karabay, S., “Investigation of the effects of ultrasonic assisted drilling on tool wear and optimization of drilling parameters,” CIRP Journal of Manufacturing Science and Technology, 31, 265-280, 2020.
• [34] Wojciechowski, S., Talar, R., Zawadzki, P., & Wieczorowski, M., “Evaluation of physical indicators and tool wear during grooving of spheroidal cast iron with a novel WCCo/cBN (BNDCC) inserts,” Wear, 454, 203301, 2020.
• [35] Del Val, A. G., Alonso, U., Veiga, F., & Arizmendi, M., “Wear mechanisms of TiN coated tools during high-speed tapping of GGG50 nodular cast iron,” Wear, 514, 204558, 2023.