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Optimisation on the Performance of Bubble-Bursting Atomisation for Minimum Quantity Lubrication with Vegetable Oil
Pin Han Yap1, Jaharah A Ghani1, Wan Mohd Faizal Wan Mahmood1
1Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Materials (Basel, Switzerland)
|June 24, 2022
Summary
Optimizing the bubble-bursting atomisation system for minimum quantity lubrication (MQL) enhances green machining. This study found specific air velocities and gap distances improve vegetable oil droplet delivery for better MQL performance.
Area of Science:
- Manufacturing Engineering
- Sustainable Technologies
- Fluid Dynamics
Background:
- Green machining and sustainable manufacturing are increasingly important in industry.
- Minimum Quantity Lubrication (MQL) is an emerging sustainable machining technology.
- Effective lubricant atomisation is crucial for MQL performance.
Purpose of the Study:
- To optimize the bubble-bursting atomisation system for MQL machining.
- To investigate the impact of air inlet velocity and gap distance on atomisation.
- To enhance the delivery of vegetable oil droplets in MQL.
Main Methods:
- Computational Fluid Dynamics (CFD) simulations were used to study the atomisation system.
- Vegetable oil was selected as the environmentally friendly lubricant.
- Parameters optimized included air inlet velocity and the gap between bubble production inlets.
Main Results:
- Optimal air velocities were identified: 0.1 m/s for bubble production and 10 m/s for droplet guidance.
- A 50 mm gap distance between air inlets prevented bubble coalescence.
- These conditions yielded optimal bubble sizes (2-3 mm) with a high probability of nano-sized droplets.
Conclusions:
- The optimized bubble-bursting system generates a higher rate of smaller vegetable oil droplets.
- Improved droplet delivery to the machining zone enhances MQL performance.
- This research contributes to more sustainable and efficient manufacturing processes.

