Visual Journal of Technical and Vocational Education

Visual Journal of Technical and Vocational Education

Experimental investigation of nozzle properties on thrust force and torque in drilling with hybrid nanofluid MQL

Document Type : Original Article

Authors
1 Department of Mechanical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
2 Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
Abstract
Minimum quantity lubrication (MQL) is a promising solution as an alternative to conventional flood cooling and dry machining. This study investigates the enhancement of drilling performance through the application of hybrid (Al2O3 + CuO) and unitary (Al2O3) nanofluids in the MQL system, focusing on thrust force, torque, friction coefficient, and the final surface quality. A full factorial design of experiments was employed to evaluate the effects of lubrication type, nozzle configuration (number, geometry, and outlet diameter), and their interactions under identical conditions. Results demonstrated that hybrid nanofluids outperformed unitary nanofluids, achieving reductions of 51% in thrust force, 56% in torque, and 42% in friction coefficient compared to dry machining when using four rectangular nozzles with a 1.5 mm outlet. Increasing the number of nozzles from one to four enhanced lubricant distribution, reducing thrust force, torque, and friction by 22%, 23%, and 38%, respectively. Rectangular nozzles with a 1.5 mm outlet proved effective due to superior spray coverage, while ANOVA identified number of nozzles and nozzle geometry as the most influential parameters. Surface quality improvements, including reduced burrs and cracks, were observed with hybrid nanofluids, enhancing precision and fatigue life. Multi-criteria optimization via TOPSIS confirmed the hybrid nanofluid MQL system with four rectangular nozzles (1.5 mm) as the most effective configuration. These findings underscore the potential of advanced MQL strategies to improve machining efficiency, tool life, and surface integrity in green manufacturing.
Keywords
Subjects

[1] Singh, G., Aggarwal, V., & Singh, S. (2020). Critical review on ecological, economical and technological aspects of minimum quantity lubrication towards sustainable machining. Journal of Cleaner Production, 271, 122185. https://doi.org/10.1016/j.jclepro.2020.122185.
[2] Aamir, M., Giasin, K., Tolouei-Rad, M., & Vafadar, A. (2020). A review: Drilling performance and hole quality of aluminium alloys for aerospace applications. Journal of Materials Research and Technology, 9(6), 12484-12500. https://doi.org/10.1016/j.jmrt.2020.09.003.
[3] Liang, X., Liu, Z., & Wang, B. (2019). State-of-the-art of surface integrity induced by tool wear effects in machining process of titanium and nickel alloys: A review. Measurement, 132, 150-181. https://doi.org/10.1016/j.measurement.2018.09.045.
[4] Hakami, F., Pramanik, A., & Basak, A. K. (2017). Tool wear and surface quality of metal matrix composites due to machining: A review. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(5), 739-752. https://doi.org/10.1177/0954405416667402.
[5] Niaki, F. A., & Mears, L. (2017). A comprehensive study on the effects of tool wear on surface roughness, dimensional integrity and residual stress in turning IN718 hard-to-machine alloy. Journal of Manufacturing Processes, 30, 268-280. https://doi.org/10.1016/j.jmapro.2017.09.016.
[6] Rana, M., Singh, T., Saini, A., Singh, J., Sharma, V. K., Singh, M., & Rooprai, R. S. (2021). Multi response optimization of nozzle process parameters in MQL assisted face milling of AISI 52,100 alloy steel using TGRA. Materials Today: Proceedings, 44, 3177-3182. https://doi.org/10.1016/j.matpr.2021.02.830.
[7] Rajmohan, T., Chakravarthy, V. K., Nandakumar, A., & Kumar, S. S. (2020). Eco friendly machining processes for sustainability-review. IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X/954/1/012044.
[8] Sen, B., Mia, M., Krolczyk, G. M., Mandal, U. K., & Mondal, S. P. (2021). Eco-friendly cutting fluids in minimum quantity lubrication assisted machining: a review on the perception of sustainable manufacturing. International Journal of Precision Engineering and Manufacturing-Green Technology, 8, 249-280. https://doi.org/10.1007/s40684-019-00158-6.
[9] Xu, W., Li, C., Zhang, Y., Ali, H. M., Sharma, S., Li, R., Yang, M., Gao, T., Liu, M., & Wang, X. (2022). Electrostatic atomization minimum quantity lubrication machining: from mechanism to application. International Journal of Extreme Manufacturing, 4(4), 042003. https://doi.org/10.1088/2631-7990/ac9652.
[10] Shah, R., Shirvani, K. A., Przyborowski, A., Pai, N., & Mosleh, M. (2022). Role of Nanofluid Minimum Quantity Lubrication (NMQL) in Machining Application. Lubricants, 10(10), 266. https://doi.org/10.3390/lubricants10100266.
[11] Tuan, N. M., Duc, T. M., Long, T. T., Hoang, V. L., & Ngoc, T. B. (2022). Investigation of machining performance of MQL and MQCL hard turning using nano cutting fluids. Fluids, 7(5), 143. https://doi.org/10.3390/fluids7050143.
[12] Singh, V., Sharma, A. K., Sahu, R. K., & Katiyar, J. K. (2022). State of the art on sustainable manufacturing using mono/hybrid nano-cutting fluids with minimum quantity lubrication. Materials and Manufacturing Processes, 37(6), 603-639. https://doi.org/10.1080/10426914.2022.2032147.
[13] Makhesana, M. A., Bhatt, Y. H., Mawandiya, B. K., & Patel, K. M. (2023). Optimization of MQL parameters and experimental investigations using vegetable oil-based cutting fluid during machining of AISI 4140. International Journal on Interactive Design and Manufacturing (IJIDeM), 17(6), 2831-2846. https://doi.org/10.1007/s12008-022-00909-x.
[14] He, T., Liu, N., Xia, H., Wu, L., Zhang, Y., Li, D., & Chen, Y. (2023). Progress and trend of minimum quantity lubrication (MQL): A comprehensive review. Journal of Cleaner Production, 386, 135809. https://doi.org/10.1016/j.jclepro.2022.135809.
[15] Patra, S. K., & Swain, S. (2022). Effects of minimum quantity lubrication (MQL) in grinding: Principle, applications and recent advancements. Materials Today: Proceedings, 69, 96-106. https://doi.org/10.1016/j.matpr.2022.08.157.
[16] Duan, Z., Chen, L., & Li, B. (2022). Effect of micro-textured morphology with different wettabilities on tool cutting performance. The International Journal of Advanced Manufacturing Technology, 123(5), 1745-1754. https://doi.org/10.1007/s00170-022-10284-2.
[17] Makhesana, M. A., Patel, K. M., & Khanna, N. (2022). Analysis of vegetable oil-based nano-lubricant technique for improving machinability of Inconel 690. Journal of Manufacturing Processes, 77, 708-721. https://doi.org/10.1016/j.jmapro.2022.03.060.
[18] Mughal, K., Mughal, M. P., Farooq, M. U., Anwar, S., & Ammarullah, M. I. (2023). Using nano-fluids minimum quantity lubrication (NF-mql) to improve tool wear characteristics for efficient machining of CFRP/Ti6Al4V aeronautical structural composite. Processes, 11(5), 1540. https://doi.org/10.3390/pr11051540.
[19] Patil, P. A., Patil, S. K., & Sawant, M. S. (2023). Assessment of surface integrity and hole quality in graphene-based NMQL Micro-drilling of ceramic-coated Nimonic 90 for gas turbine applications. Engineering Research Express, 5(1), 015031. https://doi.org/10.1088/2631-8695/acb9ff.
[20] Li, Y., & Wu, W. (2019). Investigation of drilling machinability of compacted graphite iron under dry and minimum quantity lubrication (MQL). Metals, 9(10), 1095. https://doi.org/10.3390/met9101095.
[21] Xu, J., Li, C., Chen, M., El Mansori, M., & Davim, J. P. (2020). On the analysis of temperatures, surface morphologies and tool wear in drilling CFRP/Ti6Al4V stacks under different cutting sequence strategies. Composite Structures, 234, 111708. https://doi.org/10.1016/j.compstruct.2019.111708.
[22] Pal, A., Chatha, S. S., & Sidhu, H. S. (2022). Performance evaluation of various vegetable oils and distilled water as base fluids using eco-friendly MQL technique in drilling of AISI 321 stainless steel. International Journal of Precision Engineering and Manufacturing-Green Technology, 9(3), 745-764. https://doi.org/10.1007/s40684-021-00355-2.
[23] Khunt, C., Makhesana, M., Patel, K., & Mawandiya, B. (2021). Performance assessment of vegetable oil-based minimum quantity lubrication (MQL) in drilling. Materials Today: Proceedings, 44, 341-345. https://doi.org/10.1016/j.matpr.2020.09.741.
[24] Fayaz, U., Manzoor, S., Dar, A. H., Dash, K. K., Bashir, I., Pandey, V. K., & Usmani, Z. (2023). Advances of nanofluid in food processing: Preparation, thermophysical properties, and applications. Food Research International, 170, 112954. https://doi.org/10.1016/j.foodres.2023.112954.
[25] Khanafer, K., Eltaggaz, A., & Deiab, I. (2020). Numerical study of flow and heat transfer of minimum quantity lubrication based nanofluid in a turning process using Inconel alloy. The International Journal of Advanced Manufacturing Technology, 108, 475-483.https://doi.org/10.1007/s00170-020-05430-7.
[26] Mousavi, S. V. (2024). Numerical Study of Flow and Heat Transfer of Magnetic Nanofluid in a Tee Channel in the Presence of Variable Magnetic Field. Karafan Journal, 21(1), 453-481. https://doi.org/10.48301/kssa.2024.413755.2683.
[27] Apmann, K., Fulmer, R., Soto, A., & Vafaei, S. (2021). Thermal conductivity and viscosity: Review and optimization of effects of nanoparticles. Materials, 14(5), 1291. https://doi.org/10.3390/ma14051291.
[28] Ahmadi, M. (2024). Investigation of the Effects of Hybrid Nanofluids Containing Graphene on the Hydrothermal Performance of a Solar Linear Parabolic Collector. Karafan Journal, 21(1), 297-319.  https://doi.org/10.48301/kssa.2024.423031.2750.
[29] Junankar, A. A., Parate, S. R., Dethe, P. K., Dhote, N. R., Gadkar, D. G., Gadkar, D. D., & Gajbhiye, S. A. (2021). A Review: Enhancement of turning process performance by effective utilization of hybrid nanofluid and MQL. Materials Today: Proceedings, 38, 44-47. https://doi.org/10.1016/j.matpr.2020.05.603.
[30] Esfe, M. H., Bahiraei, M., & Mir, A. (2020). Application of conventional and hybrid nanofluids in different machining processes: A critical review. Advances in Colloid and Interface science, 282, 102199. https://doi.org/10.1016/j.cis.2020.102199.
[31] Şirin, E., Yıldırım, Ç. V., Şirin, Ş., Kıvak, T., & Sarıkaya, M. (2024). Comprehensive analysis of cutting temperature, tool wear, surface integrity and tribological properties in sustainable milling of Ti6Al4V alloy: LN2, nanofluid and hybrid machining. Journal of Manufacturing Processes, 131, 1360-1371. https://doi.org/10.1016/j.jmapro.2024.09.120.
[32] Mosleh, M., Shirvani, K. A., Smith, S. T., Belk, J. H., & Lipczynski, G. (2019). A study of minimum quantity lubrication (MQL) by nanofluids in orbital drilling and tribological testing. Journal of Manufacturing and Materials Processing, 3(1), 5. https://doi.org/10.1016/j.jmapro.2024.09.120.
[33] Jamil, M., Khan, A. M., Hegab, H., Gupta, M. K., Mia, M., He, N., Zhao, G., Song, Q., & Liu, Z. (2020). Milling of Ti–6Al–4V under hybrid Al 2 O 3-MWCNT nanofluids considering energy consumption, surface quality, and tool wear: a sustainable machining. The International Journal of Advanced Manufacturing Technology, 107, 4141-4157. https://doi.org/10.1007/s00170-020-05296-9.
[34] Thakur, A., Manna, A., & Samir, S. (2019). Performance evaluation of different environmental conditions on output characteristics during turning of EN-24 steel. International Journal of Precision Engineering and Manufacturing, 20, 1839-1849. https://doi.org/10.1007/s12541-019-00179-w.
[35] Sharma, A. K., Tiwari, A. K., Dixit, A. R., & Singh, R. K. (2020). Measurement of machining forces and surface roughness in turning of AISI 304 steel using alumina-MWCNT hybrid nanoparticles enriched cutting fluid. Measurement, 150, 107078. https://doi.org/10.1016/j.measurement.2019.107078.
[36] Pal, A., Chatha, S. S., & Sidhu, H. S. (2021). Performance evaluation of the minimum quantity lubrication with Al2O3-mixed vegetable-oil-based cutting fluid in drilling of AISI 321 stainless steel. Journal of Manufacturing Processes, 66, 238-249. https://doi.org/10.1016/j.jmapro.2021.04.024.
[37] Tiwari, S., Amarnath, M., Gupta, M. K., & Makhesana, M. A. (2023). Performance assessment of nano-Al2O3 enriched coconut oil as a cutting fluid in MQL-assisted machining of AISI-1040 steel. The International Journal of Advanced Manufacturing Technology, 129(3), 1689-1702. https://doi.org/10.1007/s00170-023-12394-x.
[38] Concli, F., & Mastrone, M. N. (2023). Advanced lubrication simulations of an entire test rig: Optimization of the nozzle orientation to maximize the lubrication capability. Lubricants, 11(7), 300. https://doi.org/10.3390/lubricants11070300.
[39] Said, Z., Gupta, M., Hegab, H., Arora, N., Khan, A. M., Jamil, M., & Bellos, E. (2019). A comprehensive review on minimum quantity lubrication (MQL) in machining processes using nano-cutting fluids. The International Journal of Advanced Manufacturing Technology, 105, 2057-2086. https://doi.org/10.1007/s00170-019-04382-x.
[40] Du, F., He, L., Zhou, T., Tian, P., Zou, Z., & Zhou, X. (2022). Analysis of droplet characteristics and cooling lubrication effects in MQL milling of 316L stainless steel. Journal of Materials Research and Technology, 19, 4832-4856. https://doi.org/10.1016/j.jmrt.2022.06.132.
[41] Park, K.-H., Olortegui-Yume, J. A., Joshi, S., Kwon, P., Yoon, M.-C., Lee, G.-B., & Park, S.-B. (2008). Measurement of droplet size and distribution for minimum quantity lubrication (MQL). 2008 International Conference on Smart Manufacturing Application, https://doi.org/10.1109/ICSMA.2008.4505598.
[42] Abd Rahim, E., & Dorairaju, H. (2018). Evaluation of mist flow characteristic and performance in minimum quantity lubrication (MQL) machining. Measurement, 123, 213-225. https://doi.org/https://doi.org/10.1016/j.measurement.2018.03.015
[43] Zaman, P. B., & Dhar, N. R. (2019). Design and evaluation of an embedded double jet nozzle for MQL delivery intending machinability improvement in turning operation. Journal of Manufacturing Processes, 44, 179-196. https://doi.org/10.1016/j.jmapro.2019.05.047.
[44] Zhu, G., Yuan, S., & Chen, B. (2019). Numerical and experimental optimizations of nozzle distance in minimum quantity lubrication (MQL) milling process. The International Journal of Advanced Manufacturing Technology, 101, 565-578. https://doi.org/10.1007/s00170-018-2928-3.
[45] Babar, H., & Ali, H. M. (2019). Towards hybrid nanofluids: preparation, thermophysical properties, applications, and challenges. Journal of Molecular Liquids, 281, 598-633. https://doi.org/10.1016/j.molliq.2019.02.102.
[46] Dubey, V., & Sharma, A. K. (2023). A short review on hybrid nanofluids in machining processes. Advances in Materials and Processing Technologies, 9(1), 138-151. https://doi.org/10.1080/2374068X.2022.2087315.
[47] Alawi, O. A., Mallah, A., Kazi, S., Zubir, M., & Oon, C. (2020). Thermal Transport Feasibility of (Water+ Ethylene Glycol)-Based Nanofluids Containing Metallic Oxides: Mathematical Approach. IOP Conference Series: Materials Science and Engineering, https://doi.org/10.1088/1757-899X/854/1/012023.
[48] Dijin, J., Rajkumar, M., & Nair, A. R. (2019). Determination of heat transfer characteristics employing modified maximum slope method for porous media heat exchanger using Al2O3–water nanofluids. E3S Web of Conferences, https://doi.org/10.1051/e3sconf/201912804011.
[49] Liao, Z., Schoop, J. M., Saelzer, J., Bergmann, B., Priarone, P. C., Splettstößer, A., Bedekar, V. M., Zanger, F., & Kaynak, Y. (2024). Review of current best-practices in machinability evaluation and understanding for improving machining performance. CIRP Journal of Manufacturing Science and Technology, 50, 151-184. https://doi.org/10.1016/j.cirpj.2024.02.008.
[50] Mohamed, A., Hassan, M., M’Saoubi, R., & Attia, H. (2022). Tool condition monitoring for high-performance machining systems—A review. Sensors, 22(6), 2206. https://doi.org/10.3390/s22062206.
[51] Patole, P. B., Kulkarni, V. V., & Bhatwadekar, S. G. (2021). MQL Machining with nano fluid: a review. Manufacturing Review, 8, 13. https://doi.org/10.1051/mfreview/2021011.
[52] Lotfi, B., Namlu, R. H., & Kılıç, S. E. (2024). Machining performance and sustainability analysis of Al2O3-CuO hybrid nanofluid MQL application for milling of Ti-6Al-4V. Machining Science and Technology, 28(1), 29-73. https://doi.org/10.1080/10910344.2023.2287655.
[53] Rejvani, M., Saedodin, S., Vahedi, S. M., Wongwises, S., & Chamkha, A. J. (2019). Experimental investigation of hybrid nano-lubricant for rheological and thermal engineering applications. Journal of Thermal Analysis and Calorimetry, 138, 1823-1839. https://doi.org/10.1007/s10973-019-08225-5.
[54] Cönger, D. B., Yapan, Y. F., Emiroğlu, U., Uysal, A., & Altan, E. (2024). Influence of singular and dual MQL nozzles on sustainable milling of Al6061-T651 in different machining environments. Journal of Manufacturing Processes, 109, 524-536. https://doi.org/10.1016/j.jmapro.2023.12.043.
[55] Mallick, R., Khatai, S., Kumar, R., Panda, A., Sahoo, A. K., & Mishra, R. R. (2023). Comparison of single nozzle and dual nozzle MQL performance in hardened steel turning: A case study. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2023.10.022.
[56] Sharmin, I., Moon, M., Talukder, S., Alam, M., & Ahmed, M. F. (2021). Impact of nozzle design on grinding temperature of hardened steel under MQL condition. Materials Today: Proceedings, 38, 3232-3237. https://doi.org/10.1016/j.matpr.2020.09.717.
[57] Yan, J., Li, S., & Liu, Z. (2020). Numerical investigation on optimization of ejector primary nozzle geometries with fixed/varied nozzle exit position. Applied Thermal Engineering, 175, 115426. https://doi.org/10.1016/j.applthermaleng.2020.115426.
[58] Abiyari, H., & Abootorabi, M. M. (2021). The effects of nozzle number and outlet geometry on grinding process with minimum quantity cooling (mqc) by nanofluid. Surface Review and Letters, 28(07), 2150058. https://doi.org/10.1142/S0218625X2150058X.
[59] MirHosseini, E., Mirjalily, S. A. A., Ahrar, A. J., Oloomi, S. A. A., & Zare, M. H. (2024). Experimental investigation of nanofluid lubrication on surface roughness under MQL aluminum alloy 6061-T6 series in drilling. Industrial Lubrication and Tribology, 76(6), 747-758. https://doi.org/10.1108/ILT-01-2024-0021.
[60] Ilham, N. I., Dahlan, N. Y., & Hussin, M. Z. (2024). Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS. Renewable Energy Focus, 49, 100551. https://doi.org/10.1016/j.ref.2024.100551.
[61] Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31-43. https://doi.org/10.12691/ajis-1-1-5.
[62] Pouraghajan, M., Omrani, S., & Drogemuller, R. (2024). Enhancing decision-making in Australian concrete construction: a decision support model using an Entropy-TOPSIS approach. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-01-2024-0062.
[63] Yadav, S. K., Joseph, D., & Jigeesh, N. (2018). A review on industrial applications of TOPSIS approach. International Journal of Services and Operations Management, 30(1), 23-28. https://doi.org/10.1504/IJSOM.2018.091438.
[64] Ghalme, S. G., & Karolczak, P. (2023). Optimization of drilling parameters for aluminum metal matrix composite using entropy-weighted TOPSIS under MQL conditions. Engineering Transactions, 71(4), 595–616. https://doi.org/10.24423/EngTrans.3110.20231121.
Volume 2, Issue 2 - Serial Number 2
October 2025
Pages 121-146

  • Receive Date 07 March 2025
  • Revise Date 18 May 2025
  • Accept Date 04 November 2025