Cutting Parameter Optimization based on Online Temperature Measurements

Authors

  • Abdelillah Djamal Kara Ali Department of Mechanical Engineering, University of Tlemcen, Algeria
  • Nasreddine Benhadji Serradj Department of Mechanical Engineering, University of Tlemcen, Algeria
  • Mohamed El Amine Ghernaout Department of Mechanical Engineering, University of Tlemcen, Algeria
Volume: 13 | Issue: 1 | Pages: 9861-9866 | February 2023 | https://doi.org/10.48084/etasr.5348

Abstract

The deformation of metallic materials during the machining operation requires a significant amount of energy. During the chip formation process and due to the plastic deformation of the metal and the friction along the tool-part interface, the thermal loads generated are strongly impacted by the cutting factors. Thus, the choice of optimized cutting conditions is essential to control the quality of the work required. The aim of the present experimental study is to optimize the cutting parameters using temperature measurements. The average temperature of the cutting tool is studied using a FLIR A325sc type infrared camera. Optimal cutting parameters for each performance metric were obtained using the Taguchi techniques.

Keywords:

machining, cutting conditions, optimization, thermography, temperature measurement

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References

S. K. Choudhury and P. Srinivas, "Tool wear prediction in turning," Journal of Materials Processing Technology, vol. 153–154, pp. 276–280, Nov. 2004. DOI: https://doi.org/10.1016/j.jmatprotec.2004.04.296

J.-T. Horng, N.-M. Liu, and K.-T. Chiang, "Investigating the machinability evaluation of Hadfield steel in the hard turning with Al2O3/TiC mixed ceramic tool based on the response surface methodology," Journal of Materials Processing Technology, vol. 208, no. 1, pp. 532–541, Nov. 2008. DOI: https://doi.org/10.1016/j.jmatprotec.2008.01.018

O. B. Abouelatta and J. Mádl, "Surface roughness prediction based on cutting parameters and tool vibrations in turning operations," Journal of Materials Processing Technology, vol. 118, no. 1, pp. 269–277, Dec. 2001. DOI: https://doi.org/10.1016/S0924-0136(01)00959-1

I. Mukherjee and P. K. Ray, "A review of optimization techniques in metal cutting processes," Computers & Industrial Engineering, vol. 50, no. 1, pp. 15–34, May 2006. DOI: https://doi.org/10.1016/j.cie.2005.10.001

P. J. T. Conradie, G. A. Oosthuizen, N. F. Treurnicht, and A. A. Shaalane, "Overview of Work Piece Temperature Measurement Techniques for Machining of Ti6Al4V#," The South African Journal of Industrial Engineering, vol. 23, no. 2, 2012. DOI: https://doi.org/10.7166/23-2-335

N. M. M. Reddy and P. K. Chaganti, "Investigating Optimum SiO2 Nanolubrication During Turning of AISI 420 SS," Engineering, Technology & Applied Science Research, vol. 9, no. 1, pp. 3822–3825, Feb. 2019.

A. R. Motorcu, Y. Isik, A. Kus, and M. C. Cakir, "Analysis of the cutting temperature and surface roughness during the orthogonal machining of AISI 4140 alloy steel via the Taguchi method," Materiali in tehnologije, vol. 50, no. 3, pp. 343–351, Jun. 2016. DOI: https://doi.org/10.17222/mit.2015.021

A. Kus, Y. Isik, M. C. Cakir, S. Coşkun, and K. Özdemir, "Thermocouple and Infrared Sensor-Based Measurement of Temperature Distribution in Metal Cutting," Sensors, vol. 15, no. 1, pp. 1274–1291, Jan. 2015. DOI: https://doi.org/10.3390/s150101274

N. A. Abukhshim, P. T. Mativenga, and M. A. Sheikh, "Heat generation and temperature prediction in metal cutting: A review and implications for high speed machining," International Journal of Machine Tools and Manufacture, vol. 46, no. 7, pp. 782–800, Jun. 2006. DOI: https://doi.org/10.1016/j.ijmachtools.2005.07.024

I. Korkut, M. Boy, I. Karacan, and U. Seker, "Investigation of chip-back temperature during machining depending on cutting parameters," Materials & Design, vol. 28, no. 8, pp. 2329–2335, Jan. 2007. DOI: https://doi.org/10.1016/j.matdes.2006.07.009

N. Benhadji Serradj, "Contribution to the evaluation of the thermal field at the tool-part interface for the optimization of machining conditions," Ph.D. dissertation, University of Tlemcen, Tlemcen, Algeria, 2022.

N. B. Serradj, A. D. K. Ali, and M. E. A. Ghernaout, "A Contribution to the Thermal Field Evaluation at the Tool-Part Interface for the Optimization of Machining Conditions," Engineering, Technology & Applied Science Research, vol. 11, no. 6, pp. 7750–7756, Dec. 2021. PradeepKumar, K. Amarnath, and M. SunilKumar, "A Review on Heat Generation in Metal Cutting," International Journal of Engineering and Management Research, vol. 5, no. 4, pp. 193–197, Aug. 2015. DOI: https://doi.org/10.48084/etasr.4235

O. Riou, P.-O. Logerais, and J.-F. Durastanti, "Quantitative study of the temperature dependence of normal LWIR apparent emissivity," Infrared Physics & Technology, vol. 60, pp. 244–250, Sep. 2013. DOI: https://doi.org/10.1016/j.infrared.2013.05.012

N. M. M. Reddy and P. K. Chaganti, "Investigating Optimum SiO2 Nanolubrication During Turning of AISI 420 SS," Engineering, Technology & Applied Science Research, vol. 9, no. 1, pp. 3822–3825, Feb. 2019. DOI: https://doi.org/10.48084/etasr.2537

D. Kara Ali, N. Benhadji Serradj, and M. E. A. Ghernaout, "Qualification and Validation of an in-situ Measurement Method of the Machining Temperature," in Mechanism, Machine, Robotics and Mechatronics Sciences, Cham, 2019, pp. 15–27. DOI: https://doi.org/10.1007/978-3-319-89911-4_2

FLIR SC325. FLIR Systems, 2010.

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How to Cite

[1]
A. D. Kara Ali, N. Benhadji Serradj, and M. E. A. Ghernaout, “Cutting Parameter Optimization based on Online Temperature Measurements”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 1, pp. 9861–9866, Feb. 2023.

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