Main Article Content



Stainless steel is widely used as material in many industries and medicine. As biomedical material, it has been used for making devices, implants as well as tools and equipment in surgery and dentistry. The most of them is processed by turning. Modeling of temperature in the metal cutting process is very important step in understanding and analysis of the metal cutting process. The objective of this study is to develop an artificial neural network model which can be used successfully for accurate prediction of cutting temperature while performing turning of the biomedical stainless steel. Before the modeling, cutting temperature was measured, as one of the significant parameters in turning process, by using the infrared thermal imaging camera. Finally, based on the mathematical model, the effects of the turning parameters on the cutting temperature were examined.

Article Details

How to Cite
PETKOVIĆ, Dušan Lj. et al. MODELING OF CUTTING TEMPERATURE IN THE BIOMEDICAL STAINLESS STEEL TURNING PROCESS. Thermal Science, [S.l.], v. 20, p. S1345-S1354, feb. 2017. ISSN 2334-7163. Available at: <>. Date accessed: 14 dec. 2017. doi:
Received 2017-02-07
Accepted 2017-02-07
Published 2017-02-07


[1] Petković, D., et al., Coating: a Way to Improve Biomedical Properties of AISI 316L Stainless Steel, Proceedings, 35th International Conference on Production Engineering ICPE 2013, Kopaonik, Serbia, 2013, pp. 167-174
[2] Cieslik, M., et al., Metal Release and Formation of Surface Precipitate at SS Grade 316 and Hanks Solution Interface – Inflammatory Response and Surface Finishing Effects, Corrosion Science, 51 (2009), 5, pp. 1157-1162
[3] Radovanović, M, et al., Optimization of Turning Parameters of Medical Stainless Steel Based on Cutting Force Using Taguchi Method, Proceedings, International Scientific Conference – UNITECH 2014, Gabrovo, Bulgaria, 2014, Vol. III, pp. 304-309
[4] Pal, P., Gautam, D., Experimental Analysis of Cutting Forces and Temperature in Orthogonal Machining of AISI 1045 Steel, International Journal of Emerging Technology and Advanced Engineering, 5 (2015), 1, pp. 451-457
[5] Tanikić, D., Despotović, V., Artificial Intelligence Techniques for Modelling of Temperature in the Metal Cutting Process, in: Metallurgy – Advances in Materials and Processes (ed. Y. Pardhi), InTech, Rijeka, Croatia, 2012, pp. 153-176
[6] Abhang, L. B., Hameedullah, M., Chip-Tool Interface Temperature Prediction Model for Turning Process, International Journal of Engineering Science and Technology, 2 (2010), 4, pp. 382-393
[7] Muller-Hummed, P., Lahr’s, M., A New Instrument to Optimize Cutting Process, in situ Temperature Measurement on Diamond Coated Tools, Innovations in Material Research, 1 (1996), 1, pp. 1-9
[8] Tanikić, D., et al., Modelling Metal Cutting Parameters Using Intelligent Techniques, Strojniški vestnik – Journal of Mechanical Engineering, 56 (2010), 1, pp. 52-62
[9] Nedić, B. P., Erić, M. D., Cutting Temperature Measurement and Material Machinability, Thermal Science, 18 (2014) Suppl. 1, pp. S259-S268
[10] Abhang, L. B., Hameedullah, M., The Measurement of Chip-Tool Interface Temperature in the Turning of Steel, International Journal of Computer Communication and Information System, 12 (2010), 1, pp. 1-5
[11] Kwon, P., et al., An Inverse Scheme to Measure Steady-State Tool-Chip Interface Temperatures Using an Infrared Camera, International Journal of Machine Tools & Manufacture, 41 (2001), 7, pp. 1015- 1030
[12] Radovanović, M, et al., Application of Taguchi Method for Determining Optimum Surface Roughness in Turning of Medical Stainless Steel, Proceedings, International Scientific Conference – UNITECH 2014, Gabrovo, Bulgaria, 2014, Vol. III, pp. 316 -321
[13] Cica, Dj., et al., Prediction of Cutting Zone Temperature in High-Pressure Assisted Turning Using GA and PSO Based ANN, Journal of Production Engineering, 17 (2014), 1, pp. 43-46
[14] Madić, M., Radovanović, M., Modeling and Analysis of Correlations between Cutting Parameters and Cutting Force Components in Turning AISI 1043 Steel Using ANN, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 35 (2013), 2, pp. 111-121
[15] Rao, P. N., Manufacturing Technology Metal Cutting and Machine Tools, Tata McGraw-Hill Publication Ltd., New Delhi, India, 2005
[16] Varma, D.R.S.V., et al., Cutting Temperatures in Machining of Titanium Alloy, Proceedings, 7th National Conference on Air Breathing Engines and Aerospace Propulsion, NCABE-2004, I. I. T. Kanpur, India, 2004, pp. 391-398