Numerical Study of Minimum Quantity Lubrication
A special issue of Dynamics (ISSN 2673-8716).
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 2268
Special Issue Editor
Special Issue Information
Dear Colleagues,
The minimum quantity lubrication (MQL) process is widely used for different machining processes and materials, and in machining offers products and services for a cleaner production, introducing environmentally friendly and economically beneficial methods. Referring to a near-dry cooling technique, it is composed of a fine oil mist with pressurized air supplied as an air–fluid mixture. In order to improve or reduce cost, the simulation of the MQL process represents a real alternative to the experimental approaches often used in industries.
The process modelization could be useful for understanding physical phenomena which occur during chip formation, such as the fluid/structure interaction or tribological behavior, and could provide an appropriate understanding regarding the thermomechanical behavior present during machining or develop advanced cutting tools by numerically studying the MQL process efficiency.
The purpose of this Special Issue is to assemble original research papers containing novel numerical studies regarding the MQL process used in machining or other manufacturing processes (rolling, stamping, etc.) or used in mechanical characteristics, such as tribology, and their interaction with the surface integrity of the material and tool life time. The proposed papers can include experimental sections with simulations for comparisons.
Please inform the Guest Editor of your intention to submit a manuscript for possible publication in the Special Issue as soon as possible.
Dr. Arnaud Duchosal
Guest Editor
Manuscript Submission Information
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Keywords
- finite element method
- volume element method
- computational fluid dynamics
- MQL
- fluid-structure interaction
- Lagrangian/Eulerian multiphase flow
- fluid film formation
- simulation
- lubrication
- cooling
- machining
- experiment vs. simulation comparison
- tribological behavior
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