Minimum Quantity Lubrication: Environmental Alternatives in Processing, 2nd Edition

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Guest Editor
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
Interests: advanced manufacturing; additive manufacturing; systainabile machining; machinability of difficult-to-cut materials
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Guest Editor
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
Interests: metal cutting; modeling of machining processes; fixture dynamics; machinability of difficult-to-cut materials; sustainable machining; environmentally benign machining; EFD/EFM and CAD/CAM/CAE
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Manufacturers can create an environmentally friendly and more efficient manufacturing process that aligns with various sustainability goals, such as climate action and life on land, by using use Minimum Quantity Lubrication (MQL). The MQL process involves applying minimal amounts of lubricant directly to the cutting zone rather than flooding the workpiece with a large amount of lubricant. By using this technique, there is a significant reduction in the overall consumption of lubricants, which reduces the impact on the environment and minimizes waste production.

This Special Issue examines the innovative potential of MQL, an advanced technique that has the potential to significantly reduce lubricant consumption while maintaining optimal efficiency. When MQL is used, industries will be able to reduce their environmental impact, generate less waste, and release less volatile organic compounds into the atmosphere in comparison to traditional machining fluids.

This Special Issue will present a collection of articles that will emphasize MQL's role in promoting sustainability within the metalworking industry, aligning it with global efforts to adopt greener manufacturing practices. The Special Issue will advance knowledge in sustainable engineering practices by bringing together diverse perspectives and cutting-edge research.

Dr. Abdelkrem Eltaggaz
Prof. Dr. Ibrahim Deiab
Guest Editors

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Keywords

  • minimum quantity lubrication
  • sustainable machining
  • green machining
  • lubrication efficiency
  • friction reduction
  • environmentally friendly machining
  • alternative cooling technique

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Published Papers (1 paper)

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Research

15 pages, 8290 KiB  
Article
Multi-Response Optimization and Experimental Investigation of the Influences of Various Coolant Conditions on the Milling of Alloy 20
by Youlei Zhao, Na Cui, Zhenxian Hou, Jing Li, Junqiang Liu and Yapeng Xu
Lubricants 2024, 12(7), 248; https://doi.org/10.3390/lubricants12070248 - 5 Jul 2024
Viewed by 830
Abstract
This study investigates the machining processes of Alloy 20 under different cooling conditions: Minimum Quantity Lubrication (MQL), Carbon Dioxide (CO2), and the hybrid MQL + CO2 approach. The research focuses on optimizing the cutting parameters, understanding the surface characteristics, analysing [...] Read more.
This study investigates the machining processes of Alloy 20 under different cooling conditions: Minimum Quantity Lubrication (MQL), Carbon Dioxide (CO2), and the hybrid MQL + CO2 approach. The research focuses on optimizing the cutting parameters, understanding the surface characteristics, analysing the tool wear patterns, and evaluating the chip formation. Face-centred CCD-based response surface methodology (RSM) is applied in order to identify the optimized cutting conditions. Surface roughness, tool wear, and chip morphology are examined through SEM imaging. Surface roughness characteristics reveal distinctive characteristics for each coolant condition: MQL cooling results in a relatively rough surface with tool nose degradation, CO2 cooling shows scratches on the surface and tool chipping, and MQL + CO2 cooling yields a smoother finish with close and continuous chip formation under the optimized conditions. This study contributes valuable insights into the complex interactions between cutting parameters and coolants, aiding in the optimization of machining processes for improved outcomes of the machining of Alloy 20. Based on the RSM outcomes, the optimal parametric settings obtained are Vc = 44 m/min, f = 0.04 mm/rev, and ap = 0.43 mm. Full article
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