Authors : Caner Asmafiliz; Yahya Isık

Volume/Issue : Volume 9 - 2024, Issue 4 - April

Google Scholar : https://tinyurl.com/ym44jzwn

Scribd : https://tinyurl.com/dfnyhm29

DOI : https://doi.org/10.38124/ijisrt/IJISRT24APR2514

Abstract : In recent years, the use of materials with ultra-high hardness such as Millux Protection 600T has become widespread in industry. However, the effect of different parameters used in the machining process of such steels, especially factors such as feed rate, cutting speed, depth of cut, and radial depth of cut, on the surface roughness of the final product is still not fully understood. In this context, a study was conducted to evaluate the effects of the mentioned armor steel on surface roughness. Using the Taguchi optimization method, the interaction between processing parameters at specified levels was examined, and attempts were made to determine the optimum values. Within the scope of the study, nine different experiments were conducted using Taguchi's L9 orthogonal array, and the surface roughness data obtained from each experiment were recorded. According to the analysis results, it was determined that the feed rate is the most significant parameter in the milling process, followed by radial depth of cut, depth of cut, and cutting speed, respectively. To achieve optimal results, it is recommended that the feed rate be set to level 1, cutting speed to level 2, depth of cut to level 1, and radial depth of cut to level 3. These findings could provide important guidance in the machining of such steels.

Keywords : Processing Parameters; Milling; Taguchi Method; Robust Design; Surface Roughness; Tool Wear; Armor Steel.

References :

1. Bağcı, E., Aykut, Ş. (2006). A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy (stellite6). Int J Adv Manuf Technol, 29; 940-947.
2. Zahoor, S., Mufti, N. A., Saleem, M. Q. et al. (2017). Effect of machine tool’s spindle forced vibrations on surface roughness, dimensional accuracy, and tool wear in vertical milling of AISI P20. Int Adv MAnuf Technol 89, 3671-3679
3. Özbek, N. A., Özbek, O., Kara, F. (2017). Optimization of cutting parameters for tool wear using Taguchi method in turning of hardened AISI 420 steel. Research gate,
4. Kara, F. (2018). Optimization of surface roughness in finish milling of AISI P20+S plastic mold steel. ISSN 1580-2949, MTAEC9, 52(2)195.
5. Kara, F. (2018) Optimization of cutting parameters in finishing milling of hardox 400 steel. International journal of analytical, experimental and finite element analysis (IJAEFEA), e-ISSN: 2394-5141, p-ISSN: 2394-5133, pp44-49.‏
6. Kara, F. and Öztürk, B. (2019). Comparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steel. Sensor Review, Vol. 39 No. 1, pp. 24-33.
7. Tlhabadira, I., Daniyan, I.A., Machaka, R. et al. (2019). Modelling and optimization of surface roughness during AISI P20 milling process using Taguchi method. Int J Adv Manuf Technol 102, 3707-3718.
8. Moayyedian, M., Mohajer, A., Kazemian, M.G. et al. (2020). Surface roughness analysis in milling machining using design of experiment. SN appl. Sci. 2, 1698.
9. Joshi, A. V., Charkha, P., Panchal, A., et al. (2022). Experimentation and optimization of milling milling machine parameters using Taguchi method. International conference on advances in mechanical engineering (ICAME). IOP Conf. Ser.: Mater. Sci. Eng. 1259 012040‏
10. Karagöz, Ş., Atapek, H.Ş. ve Yılmaz, A. (2008). Zırh çeliklerinde perforasyon ve balistik korumanın anlaşılması açısından fragtografik etüd. Metal Dünyası, 182, 102-107.
11. https://www.miilux.com.tr
12. https://malzemebilimi.net/zirh-celigi-nedir-nasil-uretilir.html
13. https://www.analizgazetesi.com.tr/haber/miilux-oyun-yerli-zirh-celikleri-idef23te-yogun-ilgi-goruyor-8623/
14. https://www.yerlituket.com/yazi/miilux-oy-un-yerli-zirh-celikleri-idef-23-te-yogun-ilgi-goruyor