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Study on Atomization Characteristics of Droplet of Bio-Degradable Oil for End-Milling of Incoloy 925


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1 Indian Institute of Technology Delhi, New Delhi, India., India
     

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Minimum Quantity Lubrication (MQL) has been proved as an effective technique of lubrication and cooling in machining. However, evacuation of cutting temperature depends on the lubricant’s droplet quality, which is highly influenced by MQL setup parameters. This paper aims to study the effects of nozzle angle, nozzle distance, flow rate, and air pressure on the end milling performance of Incoloy 925. Orthogonal array (L9) is used for the design of experiments, and the influence of MQL parameters is analysed by ANOVA. Response surface methodology (RSM) has been used for a linear regression model, and Composite Desirability function has been utilized for optimization of parameters. ANOVA shows that flow rate has highest influence on both cutting force and surface roughness. Nozzle angle is having lowest influence on cutting force, while stand-off distance has the lowest influence on the surface roughness.

Keywords

MQL, Coconut Oil, Incoloy 925, End-Milling, RSM.
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  • Awale, A. S., Vashista, M., Zaheer, M., & Yusufzai, K. (2020). Multi-objective optimization of MQL mist parameters for eco-friendly grinding. Journal of Manufacturing Processes, 56(April), 75-86. https://doi.org/10.1016/j. jmapro.2020.04.069

  • Cardoso, L. G., Madeira, D. S., Ricomini, T. E. P. A., Miranda, R. A., Brito, T. G., & Paiva, E. J. (2021). Optimization of machining parameters using response surface methodology with desirability function in turning duplex stainless steel UNS S32760. International Journal of Advanced Manufacturing Technology, 117(5-6), 1633-1644.https://doi.org /10.1007/s00170-021-07690-3

  • 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

  • Emami, M., Sadeghi, M. H., & Sarhan, A. A. D. (2013). Investigating the effects of liquid atomization and delivery parameters of minimum quantity lubrication on the grinding process of Al2O 3 engineering ceramics. Journal of Manufacturing Processes, 15(3), 374-388. https://doi.org/10.1016/j.jmapro.2013.02.004

  • Hsiao, T. C., Vu, N. C., Tsai, M. C., Dang, X. P., & Huang, S. C. (2020). Modeling and optimization of machining parameters in milling of INCONEL-800 super alloy considering energy, productivity, and quality using nanoparticle suspended lubrication. Measurement and Control (United Kingdom). https://doi. org/10.1177/0020294020925842

  • INCOLOY alloy 925. (2002). Special Metals. https:// cdn2.hubspot.net/hubfs/483909/Corrotherm-Oct2016-Theme/PDF Files/Incoloy925.pdf

  • Jayadas, N. H., & Nair, K. P. (2006). Coconut oil as base oil for industrial lubricants-evaluation and modification of thermal, oxidative and low temperature properties. Tribology International, 39(9), 873-878. https://doi.org/10.1016/j. triboint.2005.06.006

  • Khan, M. M. A., Mithu, M. A. H., & Dhar, N. R. (2009). Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil-based cutting fluid. Journal of Materials Processing Technology, 209 (15-16), 5573-5583. https://doi.org/10.1016/j. jmatprotec.2009.05.014

  • Khidhir, B. A., Al-Oqaiel, W., & Kareem, P. (2015). 1-6Prediction Models by Response Surface Methodology for Turning Operation. American Journal of Modeling and Optimization, 3(1), 1-6. https://doi.org/10.12691/ajmo-3-1-1

  • Park, K. H., Olortegui-Yume, J., Yoon, M. C., & Kwon, P. (2010). A study on droplets and their distribution for minimum quantity lubrication (MQL). International Journal of Machine Tools and Manufacture, 50(9), 824-833. https://doi. org/10.1016/J.IJMACHTOOLS.2010.05.001

  • Safiei, W., Rahman, M. M., & Rusdan, S. A. (2018). Experimental investigation of MQL optimum parameters in end milling of AA6061-T6 using Taguchi method. International Journal of Engineering and Technology(UAE), 7(4), 186-189. https://doi.org/10.14419/ijet.v7i4.35.22360

  • Sun, H., Zou, B., Chen, P., Huang, C., Guo, G., Liu, J., Li, L., & Shi, Z. (2022). Effect of MQL condition on cutting performance of high-speed machining of GH4099 with ceramic end mills. Tribology International, 167, 107401. https:// doi.org/10.1016/J.TRIBOINT.2021.107401

  • Tawakoli, T., Hadad, M. J., & Sadeghi, M. H. (2010). Influence of oil mist parameters on minimum quantity lubrication – MQL grinding process. International Journal of Machine Tools and Manufacture, 50(6), 521-531. https://doi. org/10.1016/J.IJMACHTOOLS.2010.03.005


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  • Study on Atomization Characteristics of Droplet of Bio-Degradable Oil for End-Milling of Incoloy 925

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Authors

Shravan Kumar Yadav
Indian Institute of Technology Delhi, New Delhi, India., India
Sudarsan Ghosh
Indian Institute of Technology Delhi, New Delhi, India., India
Sivanandam Aravindan
Indian Institute of Technology Delhi, New Delhi, India., India

Abstract


Minimum Quantity Lubrication (MQL) has been proved as an effective technique of lubrication and cooling in machining. However, evacuation of cutting temperature depends on the lubricant’s droplet quality, which is highly influenced by MQL setup parameters. This paper aims to study the effects of nozzle angle, nozzle distance, flow rate, and air pressure on the end milling performance of Incoloy 925. Orthogonal array (L9) is used for the design of experiments, and the influence of MQL parameters is analysed by ANOVA. Response surface methodology (RSM) has been used for a linear regression model, and Composite Desirability function has been utilized for optimization of parameters. ANOVA shows that flow rate has highest influence on both cutting force and surface roughness. Nozzle angle is having lowest influence on cutting force, while stand-off distance has the lowest influence on the surface roughness.

Keywords


MQL, Coconut Oil, Incoloy 925, End-Milling, RSM.

References