Experimental investigation on the environmentally friendly turning of Al۷۰۷۵ using ultrasonic nozzle-minimum quantity lubrication (UN-MQL) system

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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JR_EES-11-2_004

تاریخ نمایه سازی: 2 آبان 1402

Abstract:

In this experimental work, the effects of cutting fluid and different cutting parameters on surface roughness, tool wear, and chip morphology during turning of Al۷۰۷۵-T۶ were investigated. Machining experiments have been done in different environments such as dry, wet, minimum quantity lubrication (MQL) as well as a homemade ultrasonic nozzle- minimum quantity lubrication (UN-MQL). Ultrasonic vibrations can be used to effectively atomize the cutting fluid into fine and uniform-sized droplets and smaller spray angles with a larger spray deposition distance. The MQL system and machining parameters were evaluated by the design of experiments (DOE) method which allows us to carry out the optimization analysis by performing a relatively small number of experiments while determining the influence on the machining performance using the analysis of variance technique. In the second step, an optimization of the machining parameters was sought using signal-to-noise ratio analysis. Therefore, the response surface methodology was determined in a regression analysis, which was used to model the influence of the parameters on the performance. The fine droplets produced by the UN-MQL system penetrate effectively into the machining zone. Finally, the chip morphology, tool wear and surfaces of the machined parts were examined using optical microscopy to identify the chip formation mechanism in different machining conditions. Cutting tool wear were also examined using the SEM tests to quantify the tool wear zones under specific process parameters. Experimental results show that applying UN-MQL system reduces the surface roughness and tool wear by up to ۳۰% in comparison to the conventional MQL system.

Authors

Saeed Sattari

School of Mechanical Engineering, College of Engineering, University of Tehran

Mohammadjafar Hadad

School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran

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  • Benardos, P. G., and Vosniakos, G. C., ۲۰۰۳, “Predicting Surface ...
  • Puertas Arbizu, I., and Luis Pérez, C. J., ۲۰۰۳, “Surface ...
  • Jayaraman, P., and Mahesh kumar, L., ۲۰۱۴, “Multi-Response Optimization of ...
  • Park, K. H., Olortegui-Yume, J., Yoon, M. C., and Kwon, ...
  • Ozcelik, B., Kuram, E., Huseyin Cetin, M., and Demirbas, E., ...
  • Tawakoli, T., Hadad, M. J., and Sadeghi, M. H., ۲۰۱۰, ...
  • Lee, W. Y., Kim, K. W., and Sin, H. C., ...
  • Tawakoli, T., Hadad, M., Sadeghi, M. H., Daneshi, A., and ...
  • Hadad, M., and Beigi, M., ۲۰۲۱, “A Novel Approach to ...
  • Hadad, M., ۲۰۱۵, “An Experimental Investigation of the Effects of ...
  • Tawakoli, T., Hadad, M. J., Sadeghi, M. H., Daneshi, A., ...
  • Tosun and M. Huseyinoglu, “Effect of MQL on surface roughness ...
  • Kouam, V. Songmene, M. Balazinski, and P. Hendrick, “Effects of ...
  • Cakir, S. Yagmur, N. Kavak, G. Kucukturk, and U. Seker, ...
  • ۲۰۱۵, “Cutting Tools” [Online]. Available: jxjw@jxjtc. com ...
  • Elanders, M., ۲۰۰۶, Main Catalogue, Cromant, Sandavik ...
  • Sajjady, S. A., Nouri Hossein Abadi, H., Amini, S., and ...
  • Sudagar, J., Venkateswarlu, K., and Lian, J., ۲۰۱۰, “Dry Sliding ...
  • Sutherland, J. W., Kulur, V. N., and King, N. C., ...
  • Nakayama, K., and Arai, M., ۱۹۹۲, “Comprehensive Chip Form Classification ...
  • Worthington, B., and Rahman, M. H., ۱۹۷۹, “Predicting Breaking with ...
  • Philip Selvaraj, D., Chandramohan, P., and Mohanraj, M., ۲۰۱۴, “Optimization ...
  • Gaitonde, V. N., Karnik, S. R., and Davim, J. P., ...
  • Jeyapaul, R., Shahabudeen, P., and Krishnaiah, K., ۲۰۰۵, “Quality Management ...
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