Performance Analysis of Sliding Bearings

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Friction and Tribology".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1979

Special Issue Editor

Department of Mechanical Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK
Interests: lubrication condition monitoring; interface control; signal processing; mechatronics

Special Issue Information

Dear Colleagues,

The sliding bearing is a key component in mechanical transmissions that are extensively used in fuel-, hydro-, and wind-power generators, vehicles, and other industrial equipment. The friction determines the transmission efficiency of sliding bearings, while the oil film thickness reflects the lubrication health. An effective performance analysis method will facilitate new bearings design and improvement, on the other hand, helps machine maintenance, avoiding costly failure – a huge market estimated at USD 3.5 billion in 2025. Driven by such motivation, researchers in this area focus on novel testing methods that evaluate the performance of sliding bearings in terms of friction and oil film thickness, such as ultrasonic reflection, acoustic emission, and electrical impedance; multiphysics modeling and simulation of sliding bearings, including computational fluid dynamics (CFD) and finite element analysis (FEA); advanced signal processing and machine learning techniques that enable accurate performance monitoring and life prediction of sliding bearings. This Special Issue will reveal state-of-the-art testing methods that experimentally and numerically analyze the performance of sliding bearings. Prospective authors are invited to submit original papers to this Special Issue.

The topics of interest include but are not limited to:

  • Novel experimental testing methods of fiction and oil film thickness of sliding bearings;
  • Multiphysics modeling and simulation of sliding bearings;
  • Advanced signal processing and machine learning enabled performance monitoring and life prediction of sliding bearings;
  • Other techniques that analyze the performance of sliding bearings.

Dr. Min Yu
Guest Editor

Manuscript Submission Information

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Keywords

  • sliding bearing
  • lubrication condition monitoring
  • friction
  • oil film thickness
  • measurement

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Published Papers (1 paper)

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Research

15 pages, 4931 KiB  
Article
Evaluating Some Functional Properties of Surfaces with Partially Regular Microreliefs Formed by Ball-Burnishing
by Volodymyr Dzyura, Pavlo Maruschak, Stoyan Slavov, Diyan Dimitrov, Volodymyr Semehen and Oleksandr Markov
Machines 2023, 11(6), 633; https://doi.org/10.3390/machines11060633 - 7 Jun 2023
Cited by 7 | Viewed by 1604
Abstract
In the present work, functional properties of three different types of regular microreliefs, formed by ball burnishing process on flat surfaces are evaluated. For their estimation, heights and material ratio curve’s criteria were used, according to the international standard ISO 21920-2:2021. The influence [...] Read more.
In the present work, functional properties of three different types of regular microreliefs, formed by ball burnishing process on flat surfaces are evaluated. For their estimation, heights and material ratio curve’s criteria were used, according to the international standard ISO 21920-2:2021. The influence of the regular relief’s type and ball burnishing process parameters on the surface functional properties were investigated using full factors experimental design. Based on the obtained results, statistical models were derived that describe the dependencies between the topography characteristics and the regular reliefs’ types and regime parameters of the ball burnishing process. Based on the obtained results, several conclusions have been formulated about the applicability of these standardized methods and criteria for evaluating the functional characteristics of the different types of regular reliefs at the end of the work. Full article
(This article belongs to the Special Issue Performance Analysis of Sliding Bearings)
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