Numerical Study of Minimum Quantity Lubrication

A special issue of Dynamics (ISSN 2673-8716).

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 2540

Special Issue Editor


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Guest Editor
Mechanical Laboratory Gabriel Lamé, University of Tours, 7 Avenue Marcel Dassault, 37004 Tours, France
Interests: CFD; machining; additive manufacture; microstructure; metal-working fluids; surface integrity; sustainability of materials

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

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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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Published Papers (1 paper)

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Research

20 pages, 7356 KiB  
Article
Effect of Channel Roughness on Micro-Droplet Distribution in Internal Minimum Quantity Lubrication
by Michael Craig, Jay Raval, Bruce Tai, Albert Patterson and Wayne Hung
Dynamics 2022, 2(4), 336-355; https://doi.org/10.3390/dynamics2040019 - 14 Oct 2022
Cited by 1 | Viewed by 1948
Abstract
This research studied the effect of channel roughness on micro-droplet distributions in internal minimum quantity lubrication for effective machining. Mixtures of different oils and air were flown though internal channels with simulated different roughness: as fabricated, partially threaded, and fully threaded. The airborne [...] Read more.
This research studied the effect of channel roughness on micro-droplet distributions in internal minimum quantity lubrication for effective machining. Mixtures of different oils and air were flown though internal channels with simulated different roughness: as fabricated, partially threaded, and fully threaded. The airborne droplets were collected, analyzed, and compared with simulated results by computational fluid dynamics. For low-viscous lubricant, the rough channel surface helped to break large droplets in the boundary layer into smaller droplets and reintroduce them into the main downstream flow. The opposite trend was found for the higher viscous lubricant. The study also performed chemical etching to roughen selected surfaces of carbide cutting tools. The synergy of hand and ultrasonic agitation successfully roughened a carbide surface within twelve minutes. Scanning electron microscopy examination showed deep etching that removed all grinding marks on a WC–Co cutting tool surface. Full article
(This article belongs to the Special Issue Numerical Study of Minimum Quantity Lubrication)
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