Multi-objective optimization of cutting parameters for finishing end milling Hardox® 450
Abstract
Hardox® 450 is pre-hardened structural steel with high hardness and mechanical strength, designed to resist under abrasion wear, cracks, and breakages. This material provides a longer service life for crushers, buckets, and gears due to its excellent mechanical properties, which result in low machinability. Moreover, the knowledge about machining this material is limited, justifying further investigation. Thus, this study aims to evaluate the influence of cutting speed (vc), axial depth of cut (ap), and feed per tooth (fz) on the machining forces and surface finish during the finishing end milling of Hardox® 450 with a CVD-coated carbide tool. The experiment was planned and analyzed through a 3-factor, 3-level Box-Behnken Design. The analysis of variance showed that ap was the most significant parameter for all response variables considered in this study. A multiobjective optimization was carried out to determine the ideal levels of cutting parameters, considering the lowest values of static and dynamic machining forces and average and total surface roughnesses. The model suggests that the best results are achieved with vc = 89 m/min, fz = 0.1 mm/tooth, and ap = 0.212 mm. Even with efficient results, the predicted and measured response variables differed slightly (mainly due to tool wear).
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References
SSAB, Hardox® 450 Data Sheet 168uk., 2021. https://www.ssab.com/products/brands/hardox/products/hardox-450. Accessed 16 June 2021.
Gallina, B., Biehl, L. V., Medeiros, J. L. B. et al., "The influence of different heat treatment cycles on the properties of the steels HARDOX® 500 and STRENX® 700." Rev Liberato (Online), vol. 21, no. 35, pp. 67-74, 2020. http://revista.liberato.com.br/index.php/revista/article/view/640.
Duc, T. M., Long, T. T., Thanh, D. V., "Evaluation of minimum quantity lubrication and minimum quantity cooling lubrication performance in hard drilling of Hardox 500 steel using Al2O3 nanofluid." Adv Mech Eng, vol. 12, no. 2, pp. 1-12, 2020. https://doi.org/10.1177/1687814019888404.
Klocke, F., Manufacturing Processes 1 – Cutting. Springer-Verlag, Berlin Heidelberg, 2011. https://doi.org/10.1007/978-3-642-11979-8.
SSAB., Cutting of HARDOX wear plate, Hardox® TechSupport #16, 2007. https://www.aemach.com/hardox/hardox_working.htm. Accessed 10 March 2021.
Stonkus, E., "Research of heat affected zone after cutting in Hardox steel." Dissertation, Kaunas University of Technology, Lithuania, 2015. https://epubl.ktu.edu/object/elaba:8666130.
Perec, A., Musial, W., Prazmo, J. et al., "Multi-criteria optimization of the abrasive waterjet cutting process for the high-strength and wear-resistant steel Hardox®500." In: Klichová D et al. (eds) Advances in Water Jetting, Springer, Cham., 2021. https://doi.org/10.1007/978-3-030-53491-2_16.
Kar, B. C., Panda, A., Kumar, R. et al., "Research trends in high-speed milling of metal alloys: A short review." Mater Today: Proc, vol. 26, no. 2, pp. 2657-2662, 2020. https://doi.org/10.1016/j.matpr.2020.02.559.
Krolczyk, G. M., Krolczyk, J. B., Maruda, R. W. et al., "Metrological changes in surface morphology of high-strength steels in manufacturing processes." Meas, vol. 88, pp. 176-185, 2016. https://doi.org/10.1016/j.measurement.2016.03.055.
Daniyan, I. A., Tlhabadira, I., Mpofu, K. et al., "Process design and optimization for the milling operation of aluminum alloy (AA6063 T6)." Mater Today: Proc, vol. 32, no. 2, pp. 536-542, 2021. https://doi.org/10.1016/j.matpr.2020.02.396.
Jayaraman, P., Mahesh Kumar, L., "Multi-response optimization of machining parameters of turning AA6063 T6 aluminium alloy using Grey Relational Analysis in Taguchi Method. Procedia Eng, vol. 97, pp. 197-204, 2014. https://doi.org/10.1016/j.proeng.2014.12.242.
Kara, F., "Optimization of cutting parameters in finishing milling of Hardox 400 steel." IJAEFEA, vol. 5, no. 3, pp. 44-49, 2018. https://doi.org/10.26706/IJAEFEA.3.5.20180901.
Moayyedian, M., Mohajer, A., Kazemian, M. G. et al. "Surface roughness analysis in milling machining using design of experiment." SN Appl Sci, vol. 2, pp. 1698, 2020. https://doi.org/10.1007/s42452-020-03485-5.
Nekere, M. L., Singh, A. P., "Optimization of aluminium blank sand casting process by using Taguchi's robust design method." Int. J. Qual. Res., vol. 6, no. 1, pp. 81-97, 2012. http://www.ijqr.net/journal/v6-n1/10.pdf.
Myers, R. H., Montgomery, D. C., Anderson-Cook, C. M. "Response surface methodology: process and product optimization using designed experiments", 4 ed. Wiley, Hoboken, 2016.
Policena, M. R., Devitte, C., Fronza, G. et al. "Surface roughness analysis in finishing end-milling of duplex stainless steel UNS S32205." Int J Adv Manuf Syst, vol. 98, pp. 1617-1625, 2018. https://doi.org/10.1007/s00170-018-2356-4.
Montgomery, D. C., Hunger, G. C., "Applied statistics and probability for engineers", 7 ed. Wiley, Hoboken, 2018.
Hübner, H. B., Souza, A. J. "Evaluation of machining forces in asymmetrical face milling of cast iron DIN GGG50." Key Eng Mater, vol. 656-657, pp. 271-276, 2015. https://doi.org/10.4028/www.scientific.net/KEM.656-657.271.
Sória, B. S., "Study of vibration behavior in end milling of AISI 316 stainless steel using Wavelet transform." Dissertation, Federal University of Rio Grande do Sul, Brazil (in Portuguese), 2016. https://www.lume.ufrgs.br/handle/10183/152768.
Majerik, J., Barenyi, I., "Experimental investigation of tool wear cemented carbide cutting inserts when machining wear-resistant steel Hardox 500." Eng Rev vol. 36, no. 2, pp. 167-174, 2016. https://hrcak.srce.hr/155321.
Majerik, J., Danisova, N., "Experimental testing methods of Hardox 500 face milling by Pramet 8230 carbide inserts." Ann Fac Eng Hunedoara (Online) vol. 8, no. 3, pp. 263-266, 2010. http://annals.fih.upt.ro/pdf-full/2010/ANNALS-2010-3-53.pdf
Chinchanikar, S., Choudhury, S. K., "Effect of work material hardness and cutting parameters on performance of coated carbide tool when turning hardened steel: An optimization approach." Meas, vol. 46, no. 4, pp. 1572-1584, 2013. https://doi.org/10.1016/j.measurement.2012.11.032.
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