AISI 304 paslanmaz çelik talaşlı şekil verme işlemlerinde yüzey pürüzlülüğü ve güç tüketimini azaltmaya yönelik istatiksel yaklaşım

İmalat sanayinde talaşlı şekil verme tekniği önemli bir yer tutmaktadır. Plastik şekil verme, döküm ve birleştirme teknikleri gibi geleneksel şekillendirme tekniklerinden farklı olarak, talaşlı şekil vermede iyi bir yüzey kalitesi elde etmek kritiktir. Yüzey kalitesinin yanı sıra düşük maliyetler ile işleme gereksinimi nedeniyle güç tüketimi, işleme maliyetlerinde önemli bir kalem olarak karşımıza çıkmaktadır. Hem yüzey kalitesi hem de güç tüketimi talaşlı işleme esnasında birçok parametreden etkilenebilir. Bu doğrultuda ideal parametre ve seviyelerde talaşlı imalat yapabilmek önemlidir. Çalışmada, birçok uygulama alanına sahip AISI -304 paslanmaz çeliğin soğutma sıvısı kullanıldığı şartlar altında tornalanması esnasında ilerleme miktarı (F), kesme hızı (Vc) ve paso miktarının (d) yüzey pürüzlülüğü ve güç tüketimi açısından farklı seviyelerdeki etkisi istatistiksel analizler kullanılarak incelenmiştir. Aynı zamanda matematiksel modeller oluşturularak deneysel veriler ile sonuçlar kıyaslanmıştır. Yürütülen deneysel ve istastiksel yaklaşımlar bize ilerleme miktarının yüzey kalitesi açısından çok etkili olduğunu ve güç tüketimi açısından ise her üç parametrenin de önemli olduğunu göstermiştir.

Anahtar Kelimeler:

AISI 304 paslanmaz çelik, Optimizasyon, Tornalama, AISI 304 paslanmaz çelik, İstastiksel yaklaşım

Statistical approach to reducing the surface roughness and power consumption in machining of AISI 304 stainless steel

Machining technique has an important place in the manufacturing industry. Unlike traditional forming techniques such as plastic forming, casting and welding techniques, it is critical to achieve relatively better surface quality in machining. In addition to surface quality, power consumption is an important concern in processing costs due to the need for processing with low costs. Both surface quality and power consumption can be affected by many parameters during machining. In this direction, it is important to be able to produce machining at ideal parameters and levels. In this study, the effects of feed rate (F), cutting speed (Vc) and depth of cut (d) at different levels during turning of AISI -304 stainless steel, which has many application areas, under the conditions of using coolant, were investigated using statistical analyzes. At the same time, mathematical models were created and results were compared with experimental data. Experimental and statistical approaches have shown us that the feed rate is very effective in terms of surface quality while all three parameters are important in terms of power consumption.

Keywords:

Optimization, Turning, AISI 304 stainless steel, Statistical approach,

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B.L. Juneja, G.S. Sekhon and S. Nitini, Fundamentals of Metal Cutting and Machine Tools 2nd ed. New Age International Ltd. Publishers, New Delhi, 2003.
C.S. Milton, Metal Cutting Principles 2nd ed. Oxford University Press, United Kingdom, 2004.
K. Yunus and A. Ahmet, Investigation of machinability characteristics of AISI 316Ti stainless steel. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 18(1), 61-71, 2012. https://doi.org/10.5505/pajes.2012.58076
M. Kaladhar, K.S. Venkata and C.S. Rao, Determination of optimum process paramenters during turning of AISI 304 Austenitic stainless steel using Taguchi method and ANOVA. International Journal of Lean Thinking, 3(1),1-22, 2012.
X. Anthony and M. Adithan, Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel. Journal of Material Processing Technology, 209, 900-909,2009. https://doi.org/10.1016/j.jmatprotec.2008.02.068.
H. Aouici, M.A. Yallese, B. Fnides, K. Chaoui and T. Mabrouki, Modelling and optimization of hard turning of x38crmov5-1 steel with cbn tool machining parameters effects on flank wear and surface roughness. Journal of Mechanical Scienceand Technology, 25, 2843-51, 2011. https://doi.org/ 10.1007/s12206-011-0807-z
Y. Sahin and A.R. Motorcu, Surface roughness model in machining hardened steel with cubic boron nitride cutting tool. International Journal of Refractory Metals and Hard Materials. 26, 84–90, 2008. https://doi.org/10.1016j.ijrmhm.2007.02.005
J.P. Davim, A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. Journal of Materials Processing Technology, 116, 305-308, 2001. https://doi.org/ 10.1016/S0924-0136(01)01063-9
Ç. Selim and D. Suat, AISI 4140 çeliğinin işlenmesinde kesici uç geometrisinin talaş kırma ve yüzey pürüzlülüğüne etkisi. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 4,765-771, 2016.
M. Aruna and V. Dhanalakshmi, Optimization of turning parameters of inconel 718 alloy using RSM. International Journal of Manufacturing Technology and Management, 25,113–134, 2012. https://doi.org/ 10.1504/IJMTM.2012.047722
R.P. Pragnesh and V.A. Patel, Effect of machining parameters on surface roughness and power consumption for 6063 Al alloy TiC composites (MMCs). International Journal of Engineering Research and Applications, 2(4), 295-300, 2012.
P. Sahoo, Optimization of turning parameters for surface roughness using RSM and GA. Advances in Production Engineering and Management, 6(3), 197-208, 2011.
İ. Korkut, M.A. Donertas and U. Seker, Three-Dimensional dynamometer design and production. Karabuk Technical Education Faculty Journal Technology, 2, (1–2), 115–129, 1999.
U.S. Energy Information Administration, International Energy Outlook 2019, Washington, 2019.
R. Fernando, J. Gamage and H. Karunathilake, Sustainable machining: environmental performance analysis of turning. International Journal of Sustainable Engineering, yayın aşamasında (ahead of print),1-20,2021. https://doi.org/10.1080/19397038.2021. 1995524.
S. Emin, K. Mustafa, A. Abdullah and Y.P. Danil, The effects of mql and dry environments on tool wear, cutting temperature, and power consumption during end milling of aısı 1040 steel. Metals, 11, 1674, 2021. https://doi.org/10.3390/met11111674.
K.R. Roopa, M. Vinay, A.S. Deshpande and K.K Jadhav, Analysis of effect of cutting parameters on responses surface roughness and material removal rate for En 19 work-pieces material with and without Heat Treatment. International Journal of Scientific and Engineering Research, 6(1), 69-77, 2015.
K.S. Ajit, B. Abhijit, S. Avinash, M. Omkarnath and M. Satyajeet, Effect of machining parameters on cutting forces during turning of mild steel on high speed lathe by using Taguchi orthogonal Array. Global Journal of Advanced Research, 1(1), 28-35, 2014.
H.K. Vijaykumar, S. Aboobaker and S. Muhammed, Optimization of turning parameters using Taguchi technique for MRR and surface roughness of hardened AISI 52100 steel. Journal of Engineering Research and Applications, ISSN:2248-9620, 4 (5), 39-44, 2014.
S.D. Philip and P. Chandramohan, Optimization of surface roughness of AISI 304 austenitic stainless steel in dry turning operation using Taguchi design method. Journal of Engineering Science and Technology, 5(3), 293-301, 2010.
R.M. Venkata, K. Srinivasulu and M.R.G. Krishna, Performance evaluation and selection of optimal parameters in turning of Ti-6Al4V alloy under different cooling conditions. International Journal of Innovative Technology and Creative Engineering, 1(5),134-41, 2011. https://doi.org/ 10.18178/IJMMM
V. Marinkovic and M. Madic, Optimization of surface roughness in turning alloy steel by using Taguchi method. Scientific Research and Essays, 6(16), 3474-3484, 2011. https://doi.org/ 10.5897/SRE11.704
K.K. Adarsh, C. Ratnam, B.S.N. Murthy and B.B. Satish, Optimization of surface roughness in face turning operation in machining of EN-8. International Journal of Engineering Science and Advanced Technology, 2(4), 807-812, 2012.
M.T. Sreenivasa, R.K. Suresh, G. Krishnaiah and R.V. Diwakar, Optimization of process parameters in dry turning operation of EN 41B alloy steels with cermet tool based on the Taguchi method. International Journal of Engineering Research and Applications (IJERA), 3, 1144-1148, 2013.
H.M. Somashekara and S.N. Lakshmana, Optimizing surface roughness in turning operation using Taguchi technique and ANOVA. International Journal of Engineering Science and Technology, 4(5), 1965-73, 2012.
M.A. Khan, J.K. Kittur and D.K. Vishal, Study and analysis of effect of cutting parameters on cutting forces and surface roughness. Advanced Engineering and Applied Sciences: An International Journal, 5(3), 63-73, 2015.
C. Özek and V. Taşdemir, Modelling of surface roughness with variance analysis in turning of AISI 304 austenitic stainless steel. e-Journal of New World Sicence Academy, 4(3), 305-314, 2009.
R.A. Mahdavinejad and S. Saeedy, Investigation of the influential parameters of machining of AISI 304 stainless steel. 36(6), 963-70, 2011. https://doi.org/ 10.1007/S12046-011-0055-Z