Optimization of machining parameters for enhanced chromium plated EN19 steel
DOI:
https://doi.org/10.58368/MTT.23.11-12.2024.10-24Keywords:
Chrome Plating, Machining Parameters, EN19 Steel, Face Milling, Soluble Oil, Taguchi & ANOVA MethodAbstract
Chrome plating is vital in enhancing metal components' performance, appearance, and durability across various industries, including automotive, aerospace, machinery, and manufacturing. This study investigates the optimization of machining parameters for chromium-plated EN19 steel. Face milling operations were conducted on steel specimens, with systematically varied cutting parameters (speed, feed, depth of cut) and soluble oil used while machining to ensure proper lubrication and cooling. The aim is to address machining issues without compromising the chrome plating surface. Additionally, tool tip temperature was measured during machining to monitor and manage thermal effects that could influence tool wear and workpiece quality. Using Taguchi and ANOVA methods, the effects of cutting parameters on the specimen were analysed to ensure enhanced tool life and reduced cutting forces while maintaining the same wear resistance and corrosion resistance. Finally, surface roughness was determined to assess the finish quality of the machined surface.
Metrics
References
Akin, H. K., & Fedai, Y. (2018). Optimization of machining parameters in face milling using multi-objective Taguchi technique. Tehnički Glasnik, 12(2). https://doi.org/10.31803/ tg-20180201125123
Barnhart, J. (1997). Occurrences, uses, and properties of chromium. Regulatory Toxicology and Pharmacology, 26(1I).https://doi.org/ 10.1006/rtph.1997.1132
Gokce, H. (2019). Optimisation of Cutting Tool and Cutting Parameters in Face Milling of Custom 450 through the Taguchi Method. Advances in Materials Science and Engineering, 1-10. https://doi.org/10.1155/2019/5868132
Gopalsamy, B. M., Mondal, B., & Ghosh, S. (2009). Optimisation of machining parameters for hard machining: Grey relational theory approach and ANOVA. International Journal of Advanced Manufacturing Technology, 45(11–12).https://doi.org/10.1007/s00170- 009-2054-3
Jain, S., & Parashar, V. (2020). Optimization of CNC face milling process parameters using response surface methodology and particle swarm optimization algorithm. International Journal of Mechanical and Production Engineering Research and Development, 10(3). https://doi. org/10.24247/ijmperdjun202059
Korkut, I., & Donertas, M. A. (2007). The influence of feed rate and cutting speed on the cutting forces, surface roughness and tool-chip contact length during face milling. Materials and Design, 28(1). https://doi. org/10.1016/j.matdes.2005.06.002
Kumar, M. V., Kumar, B. K., & Rudresha, N. (2018). Optimization of machining parameters in CNC turning of stainless steel (EN19) by TAGUCHI’S orthogonal array experiments. Materials Today Proceedings, 5(5), 11395- 11407. https://doi.org/10.1016/j.matpr.2018. 02.107
Liu, G., Zou, B., Huang, C., Wang, X., Wang, J., & Liu, Z. (2016). Tool damage and its effect on the machined surface roughness in high-speed face milling the 17-4PH stainless steel. International Journal of Advanced Manufacturing Technology, 83(1-4). https://doi.org/10.1007/s00170-015- 7564-6
Marek, M., Novák, M., & Šramhauser, K. (2019). The impact of changes in infeed rate on surface integrity after chrome plate grinding by silicon carbide. Manufacturing Technology, 19(2). https://doi.org/10.21062/ ujep/284.2019/a/1213-2489/mt/19/2/284
Mohandas, K. N., Ramesh, C. S., Koorapati, E. P., & Balashanmugam, N. (2013). Prediction of cutting forces developed during hard turning of hard chrome plated surfaces on EN24 substrate. Journal of Mechanical Engineering, 10(1), 49-65.
Pimenov, D. Y., Hassui, A., Wojciechowski, S., Mia, M., Magri, A., Suyama, D. I., Bustillo, A., Krolczyk, G., & Gupta, M. K. (2019). Effect of the relative position of the face milling tool towards the workpiece on machined surface roughness and milling dynamics. Applied Sciences, 9(5), 842. https://doi.org/10.3390/ app9050842
Postins, C. M. (1970). The Various Types of Chromium Plating Solutions and Systems. Transactions of the IMF, 48(1), 164–168. https:// doi.org/10.1080/00202967.1970.11870148
Raza, M. H., Hafeez, F., Zhong, R. Y., & Imran, A. (2020). Investigation of surface roughness in face milling processes. International Journal of Advanced Manufacturing Technology, 111 (9-10).https://doi.org/10.1007/s00170-020- 06188-8
Ropyak, L., Shovkoplias, M., Vytvytskyi, V. (2021). Determination of machining allowance for parts with chrome coatings. Вісник Черкаського державного технологічного університету, 26(2), 117-127.
Simunovic, G., Simunovic, K., & Saric, T. (2013). Modelling and simulation of surface roughness in face milling. International Journal of Simulation Modelling, 12(3). https://doi. org/10.2507/IJSIMM12(3)1.219
Singh, J., Lal, H., & Singh, P. (2016). Material removal rate during chromium abrasives mixed edm of en19 steel. International Journal of Latest Trends in Engineering and Technology, 7(4). https://doi.org/10.21172/ 1.74.053
Tang, J., & Zuo, Y. (2008). Study on corrosion resistance of palladium films on 316L stainless steel by electroplating and electroless plating. Corrosion Science, 50(10). https://doi. org/10.1016/j.corsci.2008.07.014
Valentina, E., Bratu, V., Violeta, F., & Cristiana, M. (2015). Research on Chrome Plating of Steel Bars. Scientific Bulletin of VALAHIA University, 10, 16-18.
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in Manufacturing Technology Today (MTT) Journal are held by the Publisher. Central Manufacturing Technology Institute (CMTI) as a publisher requires its authors to transfer the copyright prior to publication. This will permit CMTI to reproduce, publish, distribute, and archive the article in print and electronic form and also to defend against any improper use of the article.
