Tribology in Material Forming

A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Tribology".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2468

Special Issue Editors


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Guest Editor
Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The Netherlands
Interests: friction; tribology; adhesion; wear; lubrication
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Nonlinear Solid Mechanics, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The Netherlands
Interests: modeling friction and wear; material forming; surface texture design; coatings tribology; lubrication; hot/cold stamping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We would like to invite you to contribute with original innovative research works to this Special Issue on “Tribology in Material Forming”. In material forming, relative motion of tools and workpiece during production makes friction and wear phenomena (tribology) of utmost importance. Tribological performance in forming processes is influenced by several factors at the micro- and macrolevels (local contact conditions: surface texture, mechanical behavior of interfaces, temperature and lubrication). Thus, optimum process design, improving formability, enhancing tool life, and finally control of tribology require a thorough understanding of tribology and an accurate prediction of friction/wear. The aim of this Special Issue on Tribology in Material Forming is to present the latest advances in different aspects of tribology in cold/hot forming of (sheet/bulk) metals, polymers, composites, and developments in coatings and lubricants for forming processes.

The topics on interest for this issue include but are not limited to:

  • New methods and strategies in modeling friction and wear in material forming;
  • Mechanical and tribological characterization of coatings and interfaces;
  • Tool and workpiece surface engineering and texture design;
  • New developments in coatings and lubricants for (cold/hot) material forming.

Prof. Matthijn De Rooij
Dr. Javad Hazrati
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. Coatings 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.

Published Papers (1 paper)

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Research

8 pages, 1724 KiB  
Article
Machine Learning Model to Map Tribocorrosion Regimes in Feature Space
by Rahul Ramachandran
Coatings 2021, 11(4), 450; https://doi.org/10.3390/coatings11040450 - 14 Apr 2021
Cited by 4 | Viewed by 1877
Abstract
Degradation by wear and corrosion are frequently encountered in a variety of tribosystems, including materials and tools in forming operations. The combined effect of wear and corrosion, known as tribocorrosion, can result in accelerated material degradation. Interfacial conditions can affect this degradation. Tribocorrosion [...] Read more.
Degradation by wear and corrosion are frequently encountered in a variety of tribosystems, including materials and tools in forming operations. The combined effect of wear and corrosion, known as tribocorrosion, can result in accelerated material degradation. Interfacial conditions can affect this degradation. Tribocorrosion maps serve the purpose of identifying operating conditions at the interface for an acceptable rate of degradation. This paper proposes a machine learning-based approach to generate tribocorrosion maps, which can be used to predict tribosystem performance. Two tribocorrosion datasets from the published literature are used. The materials have been chosen based on the wide availability of their tribocorrosion data in the literature. First, unsupervised machine learning is used to identify and label clusters from tribocorrosion data. The identified clusters are then used to train a support vector classification model. The trained support vector machine is used to generate tribocorrosion maps. The generated maps are compared with those from the literature. The general approach can be applied to create tribocorrosion maps of materials widely used in material forming. Full article
(This article belongs to the Special Issue Tribology in Material Forming)
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