Karafan Journal

Karafan Journal

Effect of Nanofluids on Internal Cooling of Milling Tools for Vehicle Part Machining

Document Type : Original Article

Authors
1 Department of Mechanical Engineering, Na.C, Islamic Azad University, Najafabad, Iran.
2 Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
3 Department of Physics, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Abstract
High-speed machining has emerged as a contemporary technique for manufacturing automotive parts. Accelerating the production process through milling with nano-fluid cooling via an inter-tool channel introduces a novel method to enhance both the durability and the quality of milling operations. This study examines the application of nano-fluids based on nano-diamonds, water-ethylene glycol, and water-propylene glycol in the intercooling systems of milling tools for automotive part production, Through COMSOL simulation, the results reveal that adding 5% nanofluid enhances the heat transfer coefficient by over 13%. Enhancing the concentration of nanofluid improves heat transfer efficiency, leading to a more rapid reduction in fluid temperature. Specifically, nanodiamond-based nano-fluids yield a 2% increase in the heat transfer coefficient, while ethylene glycol-based and water-propylene glycol-based nano-fluids achieve an 8% improvement. Among the tested options, propylene glycol-based fluids emerge as the optimal choice for tool cooling. By reducing the temperature in the machining zone significantly, these fluids effectively enhance the service life of cutting tools.
Keywords
Subjects

[1]Chan, T. C., Li, J. D., Farooq, U., & Ullah, A. (2024). Improving machining accuracy of complex precision turning-milling machine tools. The International Journal of Advanced Manufacturing Technology131(1), 211-227.https://doi.org/10.1007/s00170-024-13088-8
[2]Mohanraj, T., Kirubakaran, E. S., Naren, M. L., & Suganithi Dharshan, P. (2024). Review of advances in tool condition monitoring techniques in the milling process. Measurement Science and Technology35(9), 092002. https://doi.org/10.1088/1361-6501/AD519B
[3]Chan, T. C., Li, J. D., Farooq, U., & Ullah, A. (2024). Improving machining accuracy of complex precision turning-milling machine tools. The International Journal of Advanced Manufacturing Technology131(1), 211-227. https://doi.org/10.1007/S00170-024-13088-8/METRICS
[4]Maurya, S. K., Campatelli, G., & Veracini, M. (2024). Experimental characterization of energy consumption in 5-axis milling machine and developing optimization strategy. Procedia CIRP122, 1024-1029. https://doi.org/10.1016/J.PROCIR.2024.01.138
[5]Lee, S., Choi, S. S., Li, S. A., & Eastman, J. A. (1999). Measuring thermal conductivity of fluids containing oxide nanoparticles. https://doi.org/10.1115/1.2825978
[6]Xuan, Y., & Li, Q. (2000). Heat transfer enhancement of nanofluids. International Journal of heat and fluid flow21(1), 58-64. https://doi.org/10.1016/S0142-727X(99)00067-3
[7]Das, S. K., Putra, N., Thiesen, P., & Roetzel, W. (2003). Temperature dependence of thermal conductivity enhancement for nanofluids. Journal of heat transfer125(4), 567-574. https://doi.org/10.1115/1.1571080
[8]Xie, H., Wang, J., Xi, T., Liu, Y., Ai, F., & Wu, Q. (2002). Thermal conductivity enhancement of suspensions containing nanosized alumina particles. Journal of applied physics91(7), 4568-4572.https://doi.org/10.1063/1.1454184
[9]Rao, S. S., & Srivastava, A. (2016). Interferometric study of natural convection in a differentially-heated cavity with Al2O3–water based dilute nanofluids. International Journal of Heat and Mass Transfer92, 1128-1142.  https://doi.org/10.1016/j.ijheatmasstransfer.2015.09.074
[10]Bouhalleb, M., & Abbassi, H. (2016). Numerical investigation of heat transfer by CuO–water nanofluid in rectangular enclosures. Heat Transfer Engineering37(1), 13-23. https://doi.org/10.1080/01457632.2015.1025003
[11]Sheremet, M. A., Groşan, T., & Pop, I. (2015). Steady-state free convection in right-angle porous trapezoidal cavity filled by a nanofluid: Buongiorno’s mathematical model. European Journal of Mechanics-B/Fluids53, 241-250. https://doi.org/10.1016/j.euromechflu.2015.06.003
[12]Sheremet, M. A., Pop, I., & Rahman, M. M. (2015). Three-dimensional natural convection in a porous enclosure filled with a nanofluid using Buongiorno’s mathematical model. International Journal of Heat and Mass Transfer82, 396-405. https://doi.org/10.1016/j.ijheatmasstransfer.2014.11.066
[13] Sheremet, M. A., Pop, I., & Bachok, N. (2016). Effect of thermal dispersion on transient natural convection in a wavy-walled porous cavity filled with a nanofluid: Tiwari and Das’ nanofluid model. International Journal of Heat and Mass Transfer92, 1053-1060. https://doi.org/10.1016/j.ijheatmasstransfer.2015.09.071
[14] Naves, V. T. G., Da Silva, M. B., & Da Silva, F. J. (2013). Evaluation of the effect of application of cutting fluid at high pressure on tool wear during turning operation of AISI 316 austenitic stainless steel. Wear302(1-2), 1201-1208. https://doi.org/10.1016/j.wear.2013.03.016
[15]Peng, R., Huang, X., Tang, X., Chen, R., & Hu, Y. (2018). Performance of a pressurized internal-cooling slotted grinding wheel system. The International Journal of Advanced Manufacturing Technology94(5), 2239-2254. https://doi.org/10.1007/s00170-017-1014-6
[16] Zhang, C., Zhang, S., Yan, X., & Zhang, Q. (2016). Effects of internal cooling channel structures on cutting forces and tool life in side milling of H13 steel under cryogenic minimum quantity lubrication condition. The International Journal of Advanced Manufacturing Technology83(5), 975-984. https://doi.org/10.1007/s00170-015-7644-7
[17]Haghparast, M. J., Motahari, A., & Khalaj, G. (2023). The Effect of Applying R410a Refrigerant as a Cooling Fluid on Dimensional Deviation and Surface Roughness in Turning 1045 Steel Compared to Soap-water Fluid. Karafan Journal20(3), 193-219. https://karafan.tvu.ac.ir/article_172817.html (in Persian)
[18] Panahizadeh, V., Abootorabi, M. M., & Saliminia, A. (2022). Optimization of Tool Wear and Surface Roughness in Machining with Cryogenic Treated Tool Using Genetic Algorithm. Karafan Journal19(1), 565-581. https://karafan.tvu.ac.ir/article_140680.html (in Persian)
[19] Karimzad Ghavidel, A., & Kiani, G. (2021). Experimental Study of the Gaseous Coolants Influence in the Milling of Polytetrafluoroethylene on the Surface Characteristics. Karafan Journal18(3), 343-367. https://karafan.tvu.ac.ir/article_130311.html (in Persian)
[20] Wang, C. C., & Chen, C. K. (2002). Forced convection in a wavy-wall channel. International Journal of Heat and Mass Transfer45(12), 2587-2595. https://doi.org/10.1016/S0017-9310(01)00335-0
Volume 23, Issue 1
Technical and Engineering
Spring 2026
Pages 31-53

  • Receive Date 21 October 2024
  • Revise Date 09 July 2025
  • Accept Date 17 May 2026