Effect of Cutting Parameters in Turning of AISI 1015 Steel: Comparison of Dry and MQL Conditions

Yıl 2024, Cilt: 14 Sayı: 2, 154 - 159

Bahar Sayın Kul

Öz

This study is about turning AISI 1015 steel with coated carbide inserts in dry and MQL environments. In the experimental procedure built according to the full factorial experimental design, cutting parameters such as cutting speed (90,135 m/min), feed rate (0.2, 0.40 mm/rev) and cutting depth (0.1, 0.2 mm) on surface roughness, cutting force and cutting temperature were investigated. The experiments were carried out in two different environmental conditions, aiming to compare the machining performances in both environments and to determine the cutting parameters that make the biggest contribution to each output parameter. The main findings of the study are as follows: In turning operations performed under dry and MQL conditions, the worst surface quality (with surface roughness values of 2.509 µm and 2.114 µm respectively) was obtained at the lowest cutting speed, feed and depth of cut values. Increasing the cutting speed was manifested by the average 20.1% decrease in surface roughness for both environmental conditions. While cutting temperature and cutting force increased as the cutting speed increased at low feed rates, both decreased at high feed rates. Increasing the cutting depth caused an average 40% increase in cutting forces. Moreover, the surface roughness, cutting temperature, and cutting force data obtained under MQL conditions were on average 16.9%, 2%, and 29.8% lower than those obtained under dry conditions, respectively.

Anahtar Kelimeler

AISI 1015 steel, Machinability, Turning, MQL

Kaynakça

• [1] R. Binali, M. Kuntoğlu, D. Y. Pimenov, Ü. A. Usca, M. K. Gupta, and M. E. Korkmaz, "Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends," Measurement, vol. 201, p. 111757, 2022.
• [2] R. Binali, S. Yaldız, and S. Neşeli, "Investigation of power consumption in the machining of S960QL steel by finite elements method," European Journal of Technique (EJT), vol. 12, no. 1, pp. 43-48, 2022.
• [3] M. Günay, M. E. Korkmaz, and N. Yaşar, "Performance analysis of coated carbide tool in turning of Nimonic 80A superalloy under different cutting environments," Journal of Manufacturing Processes, vol. 56, pp. 678-687, 2020.
• [4] M. K. Gupta, P. Niesłony, M. Sarikaya, M. E. Korkmaz, M. Kuntoğlu, and G. Królczyk, "Studies on geometrical features of tool wear and other important machining characteristics in sustainable turning of aluminium alloys," International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 10, no. 4, pp. 943-957, 2023.
• [5] M. Kuntoğlu, A. Aslan, D. Y. Pimenov, K. Giasin, T. Mikolajczyk, and S. Sharma, "Modeling of cutting parameters and tool geometry for multi-criteria optimization of surface roughness and vibration via response surface methodology in turning of AISI 5140 steel," Materials, vol. 13, no. 19, p. 4242, 2020.
• [6] H. Yurtkuran, M. E. Korkmaz, and M. Günay, "Modelling and optimization of the surface roughness in high speed hard turning with coated and uncoated CBN insert," Gazi University Journal of Science, vol. 29, no. 4, pp. 987-995, 2016.
• [7] R. Binali, H. Demirpolat, M. Kuntoğlu, and E. Salur, "Different aspects of machinability in turning of AISI 304 stainless steel: a sustainable approach with MQL technology," Metals, vol. 13, no. 6, p. 1088, 2023.
• [8] S. Kolomy et al., "Machinability of extruded H13 tool steel: Effect of cutting parameters on cutting forces, surface roughness, microstructure, and residual stresses," Alexandria Engineering Journal, vol. 99, pp. 394-407, 2024.
• [9] S. Hassan, S. A. Khan, R. Naveed, S. Anwar, and M. U. Farooq, "Finish dry turning of DC53 tool steel via modified carbide inserts: a study of machining dynamics," The International Journal of Advanced Manufacturing Technology, pp. 1-19, 2024.
• [10] O. G. Ehibor, M. S. Abolarin, M. B. Ndaliman, and A. A. Abdullahi, "Evaluation and Multi-Objective Optimisation of Cutting Parameters in Turning of AISI 1020 Mild Steel using Formulated Cutting Fluid," ABUAD Journal of Engineering Research and Development, vol. 7, no. 1, pp. 131-143, 2024.
• [11] A. Das, A. Kumar, S. Padhan, S. R. Das, M. P. Satpathy, and S. K. Patel, "Hard turning of AISI H10 steel using AlTiN and AlTiSiN coated carbide tools: comparative machining performance evaluation and economic assessment," Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 46, no. 5, pp. 1-34, 2024.
• [12] M. E. Korkmaz et al., "Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models," Measurement, vol. 223, p. 113825, 2023.
• [13] M. Kuntoğlu, "Measurement and analysis of sustainable indicators in machining of Armox 500T armor steel," Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 236, no. 13, pp. 7330-7349, 2022.
• [14] R. Binali, "Experimental and machine learning comparison for measurement the machinability of nickel based alloy in pursuit of sustainability," Measurement, vol. 236, p. 115142, 2024.
• [15] M. Gupta et al., "Potential use of cryogenic cooling for improving the tribological and tool wear characteristics while machining aluminum alloys," Tribology International, vol. 183, p. 108434, 2023.
• [16] S. Apay and B. Gulenc, "Wear properties of AISI 1015 steel coated with Stellite 6 by microlaser welding," Materials & Design, vol. 55, pp. 1-8, 2014.
• [17] R. Gnanamoorthy and R. R. Reddy, "Fretting fatigue in AISI 1015 steel," Bulletin of Materials Science, vol. 25, pp. 109-114, 2002.
• [18] M. Makhatha, O. Fatoba, and E. Akinlabi, "Effects of rapid solidification on the microstructure and surface analyses of laser-deposited Al-Sn coatings on AISI 1015 steel," The International Journal of Advanced Manufacturing Technology, vol. 94, pp. 773-787, 2018.
• [19] A. Namdev, A. Telang, R. Purohit, and A. Kumar, "The effect of inter critical heat treatment on mechanical and wear properties of AISI 1015 steel," Advances in Materials and Processing Technologies, vol. 8, no. sup2, pp. 434-444, 2022.
• [20] C. Moganapriya, R. Rajasekar, K. Ponappa, P. S. Kumar, S. K. Pal, and J. S. Kumar, "Effect of coating on tool inserts and cutting fluid flow rate on the machining performance of AISI 1015 steel," Materials Testing, vol. 60, no. 12, pp. 1202-1208, 2018.
• [21] H. Gökkaya and M. Nalbant, "The effects of cutting tool coating on the surface roughness of AISI 1015 steel depending on cutting parameters," Turkish J. Eng. Env. Sci, vol. 30, pp. 307-316, 2006.
• [22] S. K. Sahu, P. C. Mishra, K. Orra, and A. K. Sahoo, "Performance assessment in hard turning of AISI 1015 steel under spray impingement cooling and dry environment," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 229, no. 2, pp. 251-265, 2015.
• [23] C. Moganapriya, R. Rajasekar, P. Sathish Kumar, T. Mohanraj, V. Gobinath, and J. Saravanakumar, "Achieving machining effectiveness for AISI 1015 structural steel through coated inserts and grey-fuzzy coupled Taguchi optimization approach," Structural and Multidisciplinary Optimization, vol. 63, pp. 1169-1186, 2021.
• [24] J. Antony, "6 - Full factorial designs," in Design of Experiments for Engineers and Scientists, J. Antony Ed. Oxford: Butterworth-Heinemann, 2003, pp. 54-72.
• [25] R. Binali, S. Yaldız, and S. Neşeli, "Finite element analysis and statistical investigation of S960ql structure steel machinability with milling method," Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 46, no. 5, p. 260, 2024.
• [26] M. Mia et al., "Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition," Measurement, vol. 122, pp. 380-391, 2018.
• [27] M. Kuntoglu, "Machining induced tribological investigations in sustainable milling of Hardox 500 steel: A new approach of measurement science," Measurement, vol. 201, p. 111715, 2022.
• [28] M. Kuntoğlu, M. K. Gupta, A. Aslan, E. Salur, and A. Garcia-Collado, "Influence of tool hardness on tool wear, surface roughness and acoustic emissions during turning of AISI 1050," Surface Topography: Metrology and Properties, vol. 10, no. 1, p. 015016, 2022.
• [29] S. H. Musavi, M. Sepehrikia, B. Davoodi, and S. A. Niknam, "Performance analysis of developed micro-textured cutting tool in machining aluminum alloy 7075-T6: assessment of tool wear and surface roughness," The International Journal of Advanced Manufacturing Technology, vol. 119, no. 5, pp. 3343-3362, 2022/03/01 2022, doi: 10.1007/s00170-021-08349-9.
• [30] İ. Asiltürk, M. Kuntoğlu, R. Binali, H. Akkuş, and E. Salur, "A comprehensive analysis of surface roughness, vibration, and acoustic emissions based on machine learning during hard turning of AISI 4140 steel," Metals, vol. 13, no. 2, p. 437, 2023.
• [31] M. Uzun, Ü. A. Usca, M. Kuntoğlu, and M. K. Gupta, "Influence of tool path strategies on machining time, tool wear, and surface roughness during milling of AISI X210Cr12 steel," The International Journal of Advanced Manufacturing Technology, vol. 119, no. 3, pp. 2709-2720, 2022.
• [32] H. Demirpolat, R. Binali, A. D. Patange, S. S. Pardeshi, and S. Gnanasekaran, "Comparison of tool wear, surface roughness, cutting forces, tool tip temperature, and chip shape during sustainable turning of bearing steel," Materials, vol. 16, no. 12, p. 4408, 2023.
• [33] S. Şap, Ü. A. Usca, M. Uzun, M. Kuntoğlu, and E. Salur, "Performance evaluation of AlTiN coated carbide tools during machining of ceramic reinforced Cu-based hybrid composites under cryogenic, pure-minimum quantity lubrication and dry regimes," Journal of Composite Materials, vol. 56, no. 22, pp. 3401-3421, 2022.
• [34] R. Binali, A. D. Patange, M. Kuntoğlu, T. Mikolajczyk, and E. Salur, "Energy saving by parametric optimization and advanced lubri-cooling techniques in the machining of composites and superalloys: A systematic review," Energies, vol. 15, no. 21, p. 8313, 2022.
• [35] Ü. A. Usca, S. Şap, and M. Uzun, "Evaluation of machinability of Cu matrix composite materials by computer numerical control milling under cryogenic LN2 and minimum quantity lubrication," Journal of Materials Engineering and Performance, vol. 32, no. 5, pp. 2417-2431, 2023.
• [36] N. S. Ross, M. Ganesh, D. Srinivasan, M. K. Gupta, M. E. Korkmaz, and J. Krolczyk, "Role of sustainable cooling/lubrication conditions in improving the tribological and machining characteristics of Monel-400 alloy," Tribology International, vol. 176, p. 107880, 2022.
• [37] R. Binali, "Parametric optimization of cutting force and temperature in finite element milling of AISI P20 steel," J. Mater. Mechatron. A, vol. 4, pp. 244-256, 2023.
• [38] S. Neşeli, S. Yaldız, and E. Türkeş, "Optimization of tool geometry parameters for turning operations based on the response surface methodology," Measurement, vol. 44, no. 3, pp. 580-587, 2011.