Multiscale and Modern Solutions in the Simulation of Lubricated Contacts
A special issue of Lubricants (ISSN 2075-4442).
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 27770
Special Issue Editors
Interests: lubrication; tribology; numerical modeling; surface analysis; heat transfer; friction; numerical analysis; fluid sealing
Interests: machine learning; rough surface lubrication
Special Issue Information
Dear Colleagues,
The usual solutions used for reducing energy consumption in mechanical systems are to reduce the size of components (downsizing) and to use lower-viscosity lubricants while maintaining the loading level and operating speed. The consequence for lubricated contacts is a change in the functioning regime from full film to mixed lubrication, in which surface roughness plays a significant role. Surface texturing is now currently used to avoid the detrimental consequences of these new approaches, such as asperity contact and wear, by improving hydrodynamic lubrication. It is, thus, crucial to be able to simulate such problems, including surface texture and/or roughness, with accurate and efficient methods in order to increase our knowledge on these problems and, eventually, to provide design tools for engineers. The main difficulty is considering the different scales (from surface roughness and texture all the way up to contact size) that range over several orders of magnitude.
Several modelling or solution methods have now been developed to reduce the computational burden of this multiscale problem. One popular method in engineering is the multiscale approach. This consists of modelling the different scales by using relevant approaches that are coupled together. New computer architectures offer multithread or GPU calculation possibilities that can be used to share the calculation process and reduce the computation time. Moreover, machine learning has been attracting interest for several years in many fields; however, when it comes to lubrication, it remains little used.
Authors are encouraged to explore the benefits of multiscale methods, multithreading computation and machine learning techniques, or any other modern methods for lubricated contacts, and submit their results along with the structure of the algorithm to this Special Issue.
Dr. Noël Brunetière
Dr. Arthur Francisco
Dr. Greg de Boer
Guest Editors
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Keywords
- multiscale methods
- multithreading computation
- GPU calculation
- machine learning
- hydrodynamic lubrication
- roughness
- surface texture
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