International Scientific Journal


This paper evaluates the behavior of cutting temperature under the influence of specific cutting parameters by applying both Factorial Design and the Surface Response Methodology. Cutting speed, the feed rate and type of material were selected as input parameters to perform this study. As type of material is a non quantitative factor, it is necessary to establish a particular index to define it. Although different properties were analyzed, the average stress between the yield and strength stresses was demonstrated as the most representative property to describe material. The experimental values of temperatures during the turning process were obtained with an infrared thermography camera and experiments were designed to run the statistical analysis with commercial software. Both the Factorial Design and Surface Response methodologies showed the influence that specific values of the input parameters had on cutting temperatures. Factorial Design allowed more accurate results, but more experiments had to be carried out, while the Surface Response Methodology provided suitable information with fewer tests. A comparison was made between the experimental and some analytical results, for example those obtained by Cook, and showed a good agreement.
PAPER REVISED: 2016-08-14
PAPER ACCEPTED: 2016-10-18
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Issue 6, PAGES [2539 - 2550]
  1. Kalpakijian, S. & Schmid, S., Manufacturing Processes for Engineering Materials, Pearson Higher, Mexico,2007.
  2. Komanduri, R., Hou, Z.B., A review of the experimental techniques for the measurement of heat and temperatures generated in some manufacturing processes and tribology, Tribology International, 34 (2001), 10, pp. 653-682. DOI No: 10.1016/S0301-679X(01)00068-8
  3. Bacci da Silva, M., Wallbank, J., (1999) Cutting temperature: prediction and measurement methods-a review, Journal of Materials Processing Technology, 88 (1999), 1-3, pp. 195-202. DOI No: 10.1016/S0924-0136(98)00395-1
  4. Groover, M.P., Fundamentals of Modern Manufacturing, Wiley, United States, 2010.
  5. Sutter, G., et al., An experimental technique for the measurement of temperature fields for the orthogonal cutting in high speed machining, International Journal of Machine Tools and Manufacture, 43 (2003), 7, pp. 671-678. DOI No: 10.1016/S0890-6955(03)00037-3
  6. Sutter, G., Ranc, N., Temperature fields in a chip during high-speed orthogonal cutting-An experimental investigation, International Journal of Machine Tools and Manufacture, 47 (2007), 10, pp. 1507-1517. DOI No: 10.1016/j.ijmachtools.2006.11.012
  7. Abukhshim, N.A., et al., Heat generation and temperature prediction in metal cutting: A review and implications for high speed machining, International Journal of Machine Tools and Manufacture, 46 (2006), 7-8, pp. 782-800. DOI No: 10.1016/j.ijmachtools.2005.07.024
  8. Lauro, C.H., et al., Monitoring the temperature of the milling process using infrared camera, Scientific Research and Essays, 8 (2013), 23, pp. 1112-1120. DOI No: 10.5897/SRE12.579
  9. N. Medina et al., Evaluating temperature in faced milling operations by infrared thermography, Thermal Science, 2016 OnLine-First (00):130-130, DOI No: 10.2298/TSCI160126130M
  10. Minkina, W. & Dudzik, S., Infrared Thermography: Errors and Uncertainties, Wiley, Great Britain, 2009.
  11. Pittalà, G.M., Monno, M., A new approach to the prediction of temperature of the workpiece of face milling operations of Ti-6Al-4V, Applied Thermal Engineering, 31 (2011), 2-3, pp. 173-180, DOI No: 10.1016/j.applthermaleng.2010.08.027
  12. Ay, H., Yang, W.J., Heat transfer and life of metal cutting tools in turning, International Journal of Heat and Mass Transfer, 41 (1998), 3, pp. 613-623. DOI No: 10.1016/S0017-9310(97)00105-1
  13. Korkut, I., et al., Investigation of chip-back temperature during machining depending on cutting parameters, Materials and Design, 28 (2007), 8, pp. 2329-2335. DOI No: 10.1016/j.matdes.2006.07.009
  14. Das, S.R., et al., Optimization of cutting parameters on tool wear and workpiece surface temperature in turning of AISI D2 steel, International Journal of Lean Thinking, 3 (2012), 2, pp. 140-156.
  15. Sun, F.J., et al., Effects of cutting parameters on dry machining Ti-6Al-4V alloy with ultra-hard tools, The International Journal of Advanced Manufacturing Technology, 79 (2015), 1, pp. 351-360. DOI No: 10.1007/s00170-014-6717-3
  16. O'Sullivan, D., Cotterell, M., Temperature measurement in single point turning, Journal of Materials Procesing Technology, 118 (2001), 1-3, pp. 301-308. DOI No:10.1016/S0924-0136(01)00853-6
  17. Loewen, E.G., Shaw, M.C., (1954) On the analysis of cutting tool temperatures, ASME Transactions, 76 (1954), pp. 217-221.
  18. Cook, N.H., Tool wear and tool life, ASME Transactions, Journal of Engineering for Industry, 95 (1973), pp. 931-938.
  19. Yang, W.H., Tarng, Y.S., Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology, 84 (1998), 1-3, pp. 122-129. DOI No: 10.1016/S0924-0136(98)00079-X
  20. Davis, R., et al., Optimization of cutting parameters in dry turning operation of EN24 steel, International Journal of Emerging Technology and Advanced Engineering, 2 (2012), 10, pp. 559-563.
  21. Suhail, A.H., et al., Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process, American Journal of Engineering and Applied Sciences, 3 (2010), 1, pp. 102-108.
  22. El-Tamimi, A.M., El-Hossainy, T.M., Investigating the machinability of AISI 420 stainless steel using factorial design, Materials and Manufacturing Processes, 23 (2008), 4, pp. 419.426. DOI No: 10.1080/10426910801974838
  23. Noordin, M.Y., et al., (2004) Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel, Journal of Materials Processing Technology, 145 (2004), 1, pp. 46-58. DOI No: 10.1016/S0924-0136(03)00861-6
  24. Hajmohammadi, M. S. et al., Investigation of thermal effects on machining chatter based on FEM simulation of chip formation, CIRP Journal of Manufacturing Science and Technology (2014) pp 1-10. DOI No: 10.1016/j.cirpj.2013.11.001
  25. Brandt, R., et al., Emissivity reference paints for high temperature applications. Measurement, 41 (2008), 7, pp. 731-736. DOI No: 10.1016/j.measurement.2007.10.007
  26. López de Lacalle, L.N. et al., Mecanizado de alto rendimiento. Procesos de arranque, Ed. Téc. Ízaro, España, 2004.

© 2023 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence