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Design and mechanical performance analysis of intelligent bearings for rolling mills embedded with multi-source microsensors
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Shuilin LIN1, 2, Bowen HU1, 2, Jiankang XING1, 2, Meihua ZHOU3, Jianliang SUN1, 2, Yan PENG1, 2, 4
Journal of Mechanical Strength | 2025, 47(9) : 138 - 145
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Journal of Mechanical Strength | 2025, 47(9): 138-145
Design and mechanical performance analysis of intelligent bearings for rolling mills embedded with multi-source microsensors
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Shuilin LIN1, 2, Bowen HU1, 2, Jiankang XING1, 2, Meihua ZHOU3, Jianliang SUN1, 2, Yan PENG1, 2, 4
Affiliations
  • 1.School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
  • 2.National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, China
  • 3.Beizhou (Luoyang) Technology Co., Ltd., Luoyang 471000, China
  • 4.State Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao 066004, China
Published: 2025-09-15 doi: 10.16579/j.issn.1001.9669.2025.09.013
Outline
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Aiming at the limitations of current monitoring methods in the accuracy of early fault diagnosis for rolling mill bearings, a structural design method for intelligent rolling mill bearings based on embedded multi-source microsensors was proposed.A multi-source microsensor module integrating temperature and acceleration signals was developed, and an optimized layout structure of axial sensing leads in the bearing housing was designed, breaking through the bottleneck of sensor integration under the space constraints of traditional bearings. A mechanical performance evaluation system for the slotted structure was established, and the reliability of the intelligent structure was verified through strength check and service life calculation.The results showed that when the slotted area was 10 mm×5 mm, the maximum equivalent stress was 99.71 MPa,which had sufficient safety margin compared with the material yield limit; the maximum overall deformation of the structure was only 0.24 mm, and the local deformation was less than 0.02 mm, with the theoretical service life consistent with that of conventional bearings. The optimized intelligent bearing ensured monitoring functionality while meeting industrial application requirements in terms of structural strength and service life. The research results not only provide a high-precision monitoring method for early fault diagnosis of rolling mill bearings under extreme working conditions but also achieve an integrated"monitoring-structure" process through embedded design. Its strength check standards and service life evaluation methods can directly guide the transformation and upgrading of intelligent bearings in industrial sites, holding significant engineering value for improving the operation and maintenance efficiency of rolling production lines.

Intelligent bearings for rolling mill  /  Structural design  /  Embedded sensing  /  Finite element calculation  /  Mechanical property
Shuilin LIN, Bowen HU, Jiankang XING, Meihua ZHOU, Jianliang SUN, Yan PENG. Design and mechanical performance analysis of intelligent bearings for rolling mills embedded with multi-source microsensors[J]. Journal of Mechanical Strength, 2025 , 47 (9) : 138 -145 . DOI: 10.16579/j.issn.1001.9669.2025.09.013
  • National Key Research and Development Program(2024YFE0114600)
  • National Natural Science Foundation of China(52475409)
  • Natural Science Foundation of Hebei Province(E2025203126)
  • Scientific Research Project of Hebei Provincial Department of Education(ZD2022044)
Year 2025 volume 47 Issue 9
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.09.013
  • Receive Date:2025-07-13
  • Online Date:2026-03-20
  • Published:2025-09-15
Article Data
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History
  • Received:2025-07-13
Funding
National Key Research and Development Program(2024YFE0114600)
National Natural Science Foundation of China(52475409)
Natural Science Foundation of Hebei Province(E2025203126)
Scientific Research Project of Hebei Provincial Department of Education(ZD2022044)
Affiliations
    1.School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
    2.National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, China
    3.Beizhou (Luoyang) Technology Co., Ltd., Luoyang 471000, China
    4.State Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao 066004, China

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LIN Shuilin, E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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