AISI 52100 Rulman Çeliğinin Tornalanmasında İşleme Parametrelerinin Yüzey Pürüzlülüğü, Kesme Sıcaklığı ve Kesme Kuvveti Üzerindeki Etkilerinin İncelenmesi

Yıl 2023, Cilt: 4 Sayı: 3, 179 - 189, 30.12.2023

Havva Demirpolat , Kübra Kaya , Rüstem Binali , Mustafa Kuntoğlu

https://doi.org/10.52795/mateca.1393430

Öz

AISI 52100 malzemesi esas olarak rulman endüstrisinde kullanılmaktadır. Bu çelikler yüksek sertlik, mükemmel aşınma direnci ve boyutsal stabilite sunar. Daha yüksek mukavemet olması, özellikle otomotiv endüstrisinde rulman uygulamaları için uygun hale getirmektedir. Bu çalışmada AISI 52100 çeliğinin işlenebilirlik özellikleri iki farklı kesme hızı, ilerleme hızı ve talaş derinliğine göre kuru kesme koşullarında tornalama işlemine göre değerlendirilmiştir. İşlenebilirlik çıktı parametreleri ise kesme kuvveti, takım ucu sıcaklığı ve yüzey pürüzlülüğünü içermektedir. İşlenebilirlik deneyleri tam faktöriyel deneysel tasarım olarak gerçekleştirilmiştir. Çalışmada TiC kaplı kesici takım kullanılmıştır. Çalışma sonucunda, yüksek kesme hızlarında rulman çeliğinin işlenmesinde yüzey pürüzlülük değerlerinde azalma tespit edilmiştir. Ayrıca, düşük ilerleme oranında işleme koşullarında kesme kuvveti değeri azalmıştır. Bu da daha düşük güç tüketimi ile işleme verimliliğini arttırmaktadır.. Yüzey pürüzlülüğü üzerinde en etkili faktörün ilerleme miktarı olduğu, ardından talaş derinliğinin olduğu görülmüştür. Sıcaklık değerinin artmasında ise en etkili parametrenin talaş derinliği olduğu sonucuna varılmıştır.

Anahtar Kelimeler

AISI 52100, İşlenebilirlik, Takım ucu sıcaklığı, Yüzey pürüzlülüğü, Kesme kuvveti

Investigation of the Effects of Machining Parameters on Surface Roughness, Cutting Temperature and Cutting Force in Turning AISI 52100 Bearing Steel

Öz

AISI 52100 material is mainly used in the bearing industry. These steels offer high hardness, excellent wear resistance and dimensional stability. The higher strength makes it suitable for bearing applications, particularly in the automotive industry. In this study, the machinability properties of AISI 52100 steel were evaluated according to the turning process under dry cutting conditions at two different cutting speeds, feed rates and depths of cut. Machinability output parameters include cutting force, tool tip temperature and surface roughness. The machinability experiments were carried out using a full factorial design. A TiC coated cutting tool was used in the study. As a result of the study, high cutting speed generally caused less surface roughness than lower cutting speed parameters under the same environmental cutting conditions. It was also found that cutting force was better achieved under low feed machining conditions. It was observed that the most effective factor on surface roughness was feed rate, followed by depth of cut. It was concluded that the most effective parameter for increasing the temperature value is the depth of cut.

Anahtar Kelimeler

AISI 52100, Machinability, Tool tip temperature, Surface roughness, Cutting force

Kaynakça

• 1. A. Panda, A.K. Sahoo, R. Kumar, R.K. Das, A review on machinability aspects for AISI 52100 bearing steel, Materials Today: Proceedings, 23:617-621, 2020.
• 2. H. Demirpolat, R. Binali, A. D. Patange, S. S. Pardeshi, S. Gnanasekaran, Comparison of tool wear, surface roughness, cutting forces, tool tip temperature, and chip shape during sustainable turning of bearing steel, Materials, 16 (12): 4408, 2023.
• 3. U.M.R. Paturi, A. Yash, S.T. Palakurthy, N. Reddy, Modeling and optimization of machining parameters for minimizing surface roughness and tool wear during AISI 52100 steel dry turning, Materials Today: Proceedings, 50:1164-1172, 2022.
• 4. A. Kentli, A. Kar, A satisfaction function and distance measure based multi-criteria robot selection procedure, International Journal of Production Research, 49(19):5821-5832, 2011.
• 5. P. Sivaiah, U. Bodicherla, Effect of surface texture tools and minimum quantity lubrication (MQL) on tool wear and surface roughness in CNC turning of AISI 52100 steel, Journal of The Institution of Engineers (India): Series C, 101:85-95, 2020.
• 6. M. Jamil, N. He, W. Zhao, A.M. Khan, H. Xiang, M.K. Gupta, A. Iqbal, A novel low-pressure hybrid dry ice blasting system for improving the tribological and machining characteristics of AISI-52100 tool steel, Journal of Manufacturing Processes, 80:152-160, 2022.
• 7. O.A. Mohamed, S.H. Masood, J.L. Bhowmik, Optimization of fused deposition modeling process parameters: a review of current research and future prospects, Advances in Manufacturing, 3:42-53, 2015.
• 8. K. Bouacha, M.A. Yallese, T. Mabrouki, J.-F. Rigal, Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool, International Journal of Refractory Metals and Hard Materials, 28(3): 349-361, 2010.
• 9. B.R. Sankar, P. Umamaheswar rao, Analysis of forces during hard turning of AISI 52100 steel using Taguchi method, Materials Today: Proceedings, 4 (2):2114-2118, 2017.
• 10. T. Ramakrishnan, K. Sathish, P. Sampath, S. Anandkumar, Experimental investigation and optimization of surface roughness of AISI 52100 alloy steel material by using Taguchi method, Advances in Natural and Applied Sciences, 10(6):130-138, 2016.
• 11. S. Mane, S. Kumar, Analysis of surface roughness during turning of AISI 52100 hardened alloy steel using minimal cutting fluid application, Advances in Materials and Processing Technologies, 8(1):138-149, 2022.
• 12. H. Vijaykumar, A. Siddiq, M. Sinan, Optimization of turning parameters using Taguchi technique for MRR and surface roughness of hardened AISI 52100 steel, Int. Journal of Engineering Research and Applications, 4 (5):39-44, 2014.
• 13. A. Alok, M. Das, Multi-objective optimization of cutting parameters during sustainable dry hard turning of AISI 52100 steel with newly develop HSN2-coated carbide insert, Measurement, 133:288-302, 2019.
• 14. A. Yıldız, L. Uğur, İ.E. Parlak, Optimization of the cutting parameters affecting the turning of AISI 52100 bearing steel using the Box-Behnken experimental design method, Applied Sciences, 13(1): 3, 2022.
• 15. A. Şahinoğlu, Investigation of the effects of MQL and material hardness on energy consumption, vibration, and surface roughness in hard turning of AISI 52100 steel for a sustainable manufacturing, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, p. 09544089231173257, 2023.
• 16. M. Rafighi, M. Özdemir, A. Şahinoğlu, R. Kumar, S.R. Das, Experimental assessment and topsis optimization of cutting force, surface roughness, and sound ıntensity in hard turning of AISI 52100 Steel, Surface Review and Letters, 29(11): 2250150, 2022.
• 17. J. D. Kechagias, K.-E. Aslani, N. A. Fountas, N. M. Vaxevanidis, D. E. Manolakos, A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy, Measurement, 151: 107213, 2020.
• 18. ISO 3685: tool-life testing with single-point turning tools, International Organization for Standardization (ISO): Geneva, Switzerland, 1993.
• 19. Ş. Karabulut, A. Güllü, Farklı yanaşma açıları ile vermiküler grafitli dökme demirin frezelenmesinde kesme kuvvetlerinin araştırılması ve analitik modellenmesi, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 28, 1, 2013.
• 20. G. Bartarya, S. Choudhury, Effect of cutting parameters on cutting force and surface roughness during finish hard turning AISI52100 grade steel, Procedia CIRP, 1: 651-656, 2012.
• 21. M.C. Shaw, J. Cookson, Metal cutting principles, Oxford university press, New York, 2005.
• 22. G. Boothroyd, Fundamentals of metal machining and machine tools, CRC Press, 1988.
• 23. H. Başak, Ş. Baday, Küreselleştirilmiş orta karbonlu bir çeliğin işlenmesinde, kesme parametrelerinin kesme kuvvetleri ve yüzey pürüzlülüğüne etkilerinin regresyon analizi ile modellenmesi, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(4):253-258, 2016.
• 24. F. Jiang, Z. Liu, Y. Wan, Z. Shi, Analytical modeling and experimental investigation of tool and workpiece temperatures for interrupted cutting 1045 steel by inverse heat conduction method, Journal of Materials Processing Technology, 213(6): 887-894, 2013.
• 25. G.C. Behera, J. Thrinadh, S. Datta, Influence of cutting insert (uncoated and coated carbide) on cutting force, tool-tip temperature, and chip morphology during dry machining of Inconel 825, Materials Today: Proceedings, 38:2664-2670, 2021.
• 26. H. Saglam, S. Yaldiz, F. Unsacar, The effect of tool geometry and cutting speed on main cutting force and tool tip temperature, Materials & Design, 28(1): 101-111, 2007.
• 27. M. Pal, S. Dasmahapatra, Estimation of cutting forces and tool tip temperature in turning operation with help of artificial neural network, Materials Today: Proceedings, 66:1623-1632, 2022.
• 28. S. Rajarajan, C. Ramesh Kannan, M.S. Dennison, A comparative study on the machining characteristics on turning AISI 52100 alloy steel in dry and microlubrication condition, Australian Journal of Mechanical Engineering, 20(2): 360-371, 2022.
• 29. J. Nevalainen, H. Oja, SAS/IML macros for a multivariate analysis of variance based on spatial signs, Journal of Statistical Software, 16:1-17, 2006.