Data · dataset · 2026
Accelerated Life Test Method for Low speed Heavy Load Self Lubricating Joint Bearings[Received 7 November 2024, revised 18 January 2025, accepted 20 January 2025, available online 28 January 2026. *Corresponding author. E-mail: qxw@ysu.edu.cn, Tel: +86-18603373001. This project was supported by the Research on Common Technologies by the Science and Technology Bureau (JPPT-2017-142). 科工局专项(JPPT-2017-142)资助.]
Listed in ScienceDB
Low speed heavy-duty self-lubricating joint bearings were used in high load and low swing frequency conditions.
Description
Due to the slow wear process, their lifespan was often predicted through acceleration tests. Conventional acceleration tests with stress as the acceleration factor were prone to changes in bearing wear mechanism caused by stress exceeding the limit, which affected the predicted results.
To ensure the accuracy of prediction results while shortening the test period, two actual allowable stresses (S1 = 139 MPa, S2 = 194 MPa) were selected as acceleration stresses to conduct 50000 swing cycle truncation acceleration tests on self-lubricating bearings under three Swing frequencies (f1 = 0.25 Hz, f2 = 0.4 Hz, f3 = 0.5 Hz). Monitor the temperature of the bearing liner during the experimental process, and used scanning electron microscopy (SEM) to analyze the wear mechanism of the specimen bearing, ensuring that the accelerated test does not change the failure mode of the bearing.
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The experimental results were fitted using a Weibull distribution model to predict and test the service life of bearings under conventional loads (S0 = 100 MPa). The results showed that the two prediction results were comparable, indicating that this experimental method could effectively predict the service life of low-speed heavy-duty self-lubricating joint bearings.
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Where it is published
- DOI doi.org/10.57760/sciencedb.tribology.00042 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Mechanical engineering 68% · Microscopy 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.Tribology.00042 | 10 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:microscopy | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |