Analysis of Temperature Characteristics of Double-Row Spherical Roller Bearings Based on CFD
Double-row spherical roller bearings are frequently employed as supporting components in mining machinery. In practice, these bearings are lubricated manually, and the bearing chamber is filled with grease, which can lead to issues such as grease wastage and increased bearing temperatures. Additionally, factors such as load and speed also influence the bearing temperature, collectively contributing to inadequate lubrication and potential bearing failure. Consequently, it is essential to investigate the temperature of the bearing under operating conditions. Utilizing tribology theory and the principles of bearing heat generation, a numerical model of fluid–structure interaction heat transmission within the bearing was developed, and finite element analysis was conducted through the ANSYS-Fluent module. The model was verified, and the temperature field of the bearing under varying operating conditions was studied. The findings of this research are as follows: (1) The numerical model demonstrates high accuracy, with a relative error of less than 5% when comparing the experimental temperature values of the jaw crusher bearing to the simulated values. (2) Under diverse operating conditions, the inner ring of the bearing has the highest temperature of all parts of the bearing, while the bearing cavity’s flow field has the lowest temperature. (3) The average temperature amplitude across different areas of the bearing system will rise as a result of increases in radial load or the bearing rotational speed. (4) When the grease filling volume increases from minimal to maximal, the average temperature in each bearing area initially decreases before subsequently rising, with the optimal grease filling amount identified as 60%. In operational scenarios, if the bearing temperature exceeds 70 °C, it is imperative to shut down the machine immediately to avert bearing failure. This study on bearing lubrication has practical guiding significance.
Authors
- Hongbin Cong
- Chengguo Fu (ORCID: https://orcid.org/0009-0008-2642-8239)
- Yu‐Hao Li (ORCID: https://orcid.org/0000-0003-1839-0900)
- Haibo Li (ORCID: https://orcid.org/0000-0003-1514-1984)
- Yaqi Zhang (ORCID: https://orcid.org/0000-0003-4311-3438)
- Ting Chen (ORCID: https://orcid.org/0000-0003-1725-7956)
- Weiwei He (ORCID: https://orcid.org/0009-0005-0892-6355)
- Hui Yang (ORCID: https://orcid.org/0000-0002-5238-8524)
Institutions
- South China Agricultural University (CN)
- Chinese Academy of Agricultural Engineering (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Henan Institute of Science and Technology (CN)
Publication Details
- Journal
- Lubricants
- Published
- 2025-02-15
- DOI
- https://doi.org/10.3390/lubricants13020085
- Primary Topic
- Advanced machining processes and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China