Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.6
3.1
Journals
Lubricants
Special Issues
Wear Mechanism Identification and State Prediction of Tribo-Parts
share announcement

Wear Mechanism Identification and State Prediction of Tribo-Parts

A special issue of Lubricants (ISSN 2075-4442).

Deadline for manuscript submissions: 15 February 2025 | Viewed by 5983

Special Issue Editors

Dr. Shuo Wang

E-Mail Website
Guest Editor
Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an 710049, China
Interests: wear debris analysis; wear mechanism identification; machine condition monitoring
Dr. Ying Du

E-Mail Website
Guest Editor
School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
Interests: oil monitoring; fault diagnosis; remaining useful life prediction; vision-based damage detection

Special Issue Information

Dear Colleagues,

Wear is the inevitable failure of tribo-parts in a machine, and the wear failure may exhibit different forms according to its physical mechanism. Therefore, wear process monitoring, involving wear mechanism identification and state prediction, play an important role in determining the ongoing wear failures in a running machine.

This Special Issue calls for a collection of both research and review papers providing contributions toward a better understanding of the wear behavior of tribo-parts, developing novel wear mechanism identification methods, and improving wear state prediction methodology and models. Both experimental and numerical-related research is highly encouraged. The Special Issue seeks to provide an opportunity for authors to gather and share insights and achievements in the field of assessment of the wear process of tribo-parts.

Dr. Shuo Wang
Dr. Ying Du
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

  • wear monitoring
  • wear mechanism identification
  • wear state prediction
  • tribological performance
  • friction and wear
  • engineering application

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.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

35 pages, 11086 KiB  
Article
Research on the Correlation between Mechanical Seal Face Vibration and Stationary Ring Dynamic Behavior Characteristics
by Yunfeng Song, Hua Li, Wang Xiao, Shuangxi Li and Qingfeng Wang
Lubricants 2024, 12(9), 316; https://doi.org/10.3390/lubricants12090316 - 12 Sep 2024
Viewed by 794
Abstract
To address the lack of reliable measurement methods for identifying wear mechanisms and predicting the state of mechanical seal tribo-parts, this study proposes a method for characterizing tribological behavior based on measuring face vibration acceleration. It aims to uncover the source mechanism of [...] Read more.
To address the lack of reliable measurement methods for identifying wear mechanisms and predicting the state of mechanical seal tribo-parts, this study proposes a method for characterizing tribological behavior based on measuring face vibration acceleration. It aims to uncover the source mechanism of mechanical seal face vibration acceleration influenced by tribology and dynamic behavior. This research delves into the dynamic behavior characteristics and vibration acceleration of the mechanical seal stationary ring. We explored the variation pattern of face vibration acceleration root mean square (RMS) with rotation speed, sealing medium pressure, and face surface roughness. The results indicate that under constant medium pressure, an increase in rotation speed leads to a decrease in acceleration RMS and an increase in face temperature. Similarly, under constant rotation speed, an increase in medium pressure results in nonlinear changes in acceleration RMS, forming an “M” shape, along with an increase in face temperature. Furthermore, under conditions of constant medium pressure and rotation speed, an increase in the surface roughness of the rotating ring face corresponds to an increase in acceleration RMS and face temperature. Upon starting the mechanical seal, both acceleration RMS and temperature initially increase before decreasing, a trend consistent with the Stribeck curve. Full article
(This article belongs to the Special Issue Wear Mechanism Identification and State Prediction of Tribo-Parts)
►▼ Show Figures

Figure 1

14 pages, 3268 KiB  
Article
DSU-LSTM-Based Trend Prediction Method for Lubricating Oil
by Ying Du, Yue Zhang, Tao Shao, Yanchao Zhang, Yahui Cui and Shuo Wang
Lubricants 2024, 12(8), 289; https://doi.org/10.3390/lubricants12080289 - 15 Aug 2024
Viewed by 842
Abstract
Oil monitoring plays an important role in early maintenance of mechanical equipment on account of the fact that lubricating oil contains a large amount of wear information. However, due to extreme industrial environment and long-term service, the data history and the sample size [...] Read more.
Oil monitoring plays an important role in early maintenance of mechanical equipment on account of the fact that lubricating oil contains a large amount of wear information. However, due to extreme industrial environment and long-term service, the data history and the sample size of lubricating oil are very limited. Therefore, to address problems due to a lack of oil samples, this paper proposes a new prediction strategy that fuses the domain shifts with uncertainty (DSU) method and long short-term memory (LSTM) method. The proposed DSU-LSTM model combines the advantages of the DSU model, such as increasing data diversity and uncertainty, reducing the impact of independent or identical domains on neural network training, and mitigating domain changes between different oil data histories, with the advantages of LSTM in predicting time series, thereby improving prediction capability. To validate the proposed method, a case study with real lubricating oil data is conducted, and comparisons are given by calculating the root-mean-square error (RMSE), mean absolute error (MAE), and mean relative error (MRE) with LSTM, support vector machine (SVM), and DSU-SVM models. The results illustrate the effectiveness of the proposed DSU-LSTM method for lubricating oil, and the robustness of the prediction model can be improved as well. Full article
(This article belongs to the Special Issue Wear Mechanism Identification and State Prediction of Tribo-Parts)
►▼ Show Figures

Figure 1

17 pages, 8489 KiB  
Article
Failure and Damage of Reciprocating Lip Seals for Pneumatic Cylinders in Dry Conditions
by Luigi Mazza and Edoardo Goti
Lubricants 2024, 12(4), 119; https://doi.org/10.3390/lubricants12040119 - 4 Apr 2024
Cited by 1 | Viewed by 1433
Abstract
Lip seals are components subjected to high mechanical stress and they are responsible for many out-of-service in pneumatic cylinders. The aim of this work is the development of an experimental methodology to evaluate lifetime duration and analyse failures and damages of rod lip [...] Read more.
Lip seals are components subjected to high mechanical stress and they are responsible for many out-of-service in pneumatic cylinders. The aim of this work is the development of an experimental methodology to evaluate lifetime duration and analyse failures and damages of rod lip seals for pneumatic cylinders. A dedicated test bench was designed and manufactured which reproduces actual working conditions of the seals i.e., compressed air action (seal pressurisation) and relative linear reciprocating motion. Three types of seals made of two elastomers (NBR and polyurethane) were tested; dry condition was considered to speed up the tests. The influence of geometric parameters like seal seat dimension and seal axis misalignment with respect to the rod axis, was analysed by multiple experimental tests. Results in terms of seal life duration and failure modes are presented which allow comparison of seals performance and provide a helpful tool to end-users in a proper selection of seals geometry, material and key working parameters. Full article
(This article belongs to the Special Issue Wear Mechanism Identification and State Prediction of Tribo-Parts)
►▼ Show Figures

Figure 1

16 pages, 4836 KiB  
Article
Research on Loaded Contact Analysis and Tooth Wear Calculation Method of Cycloid–Pin Gear Reducer
by Yongqiang Wang, Bingyang Wei, Zhen Wang, Jianjun Yang and Jiake Xu
Lubricants 2023, 11(10), 445; https://doi.org/10.3390/lubricants11100445 - 13 Oct 2023
Cited by 1 | Viewed by 1945
Abstract
This study establishes the geometric model of cycloid–pin gear meshing transmission based on the multi-tooth meshing characteristics of the cycloid speed reducer. The calculation and analysis of meshing motion parameters of the cycloid speed reducer are carried out. An integrated calculation flow is [...] Read more.
This study establishes the geometric model of cycloid–pin gear meshing transmission based on the multi-tooth meshing characteristics of the cycloid speed reducer. The calculation and analysis of meshing motion parameters of the cycloid speed reducer are carried out. An integrated calculation flow is presented for solving the question of the loaded tooth contact of the cycloid speed reducer by using the elimination clearance method of gradual contact and the quasi-Hertz contact simulation of the tooth surface under loads. The loaded transmission error is obtained, and both the number of pins participating in the meshing and the contact area of tooth surfaces are determined. Using the regression formula of the wear coefficient, the dynamic wear coefficient is quickly solved on the instantaneous contact line of the tooth surface. Thereby, the wear distribution law of two tooth surfaces appears. The results show that there is a singular point in the wear of the pin teeth, with a maximum wear of 100 μm, that seriously affects the meshing accuracy of the tooth surface and thus affects the accuracy and lifespan of the reducer. Full article
(This article belongs to the Special Issue Wear Mechanism Identification and State Prediction of Tribo-Parts)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop