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 27141
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Lubricants is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multiscale methods
- multithreading computation
- GPU calculation
- machine learning
- hydrodynamic lubrication
- roughness
- surface texture
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.