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双排不同直径球回转支承静承载曲线的计算方法。

Calculation method for the static carrying curve of double-row different-diameter ball slewing bearings.

机构信息

School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China.

Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang, China.

出版信息

Sci Prog. 2023 Apr-Jun;106(2):368504231180026. doi: 10.1177/00368504231180026.

DOI:10.1177/00368504231180026
PMID:37338540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10358631/
Abstract

A method for calculating the static carrying curve of a double-row different-diameter ball slewing bearing was proposed. The relationship between the internal maximum rolling element load of each row and the combined external axial load and tilting moment load of the slewing bearing was established using the deformation compatibility and force equilibrium conditions. The rolling element load distribution range parameters of the main and auxiliary raceways of the double-row different-diameter ball slewing bearing were used as input invariables, and the corresponding external load combinations of the axial and tilting moment loads of the slewing bearing were obtained. These external load combinations were plotted in the coordinate system to obtain the static carrying curve of the slewing bearing. The obtained static carrying curve was compared with that calculated using the finite element method for verification. Finally, the influences of detailed design parameters such as the raceway groove radius coefficient, raceway contact angle, and rolling element diameter on the carrying capacity of the double-row different-diameter ball slewing bearing were analyzed based on the carrying curves. As the groove radius coefficient increases from 0.515 to 0.530, or the contact angle increases from 50° to 65°, the carrying capacity of the slewing bearing decreases. As the rolling element diameter increases from 0.90 times the initial diameter to 1.05 times the initial diameter, the carrying capacity of the slewing bearing increases.

摘要

提出了一种计算双排不同直径球回转支承静承载曲线的方法。利用变形协调条件和力平衡条件,建立了各排滚动体内部最大承载与回转支承联合外轴向载荷和倾覆力矩载荷之间的关系。以双列不同直径球回转支承主、辅助滚道滚动体承载分布范围参数为输入变量,得到相应的回转支承轴向和倾覆力矩外载荷组合。将这些外载荷组合绘制在坐标系中,得到回转支承的静承载曲线。将得到的静承载曲线与有限元法计算的结果进行比较,验证其正确性。最后,基于承载曲线,分析了滚道槽半径系数、接触角和滚动体直径等详细设计参数对双排不同直径球回转支承承载能力的影响。随着槽半径系数从 0.515 增加到 0.530,或接触角从 50°增加到 65°,回转支承的承载能力降低。随着滚动体直径从初始直径的 0.90 倍增加到 1.05 倍,回转支承的承载能力增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/043670c869c1/10.1177_00368504231180026-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/e54f11cd93a3/10.1177_00368504231180026-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/dbc75d2589ef/10.1177_00368504231180026-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/25362d98e2a1/10.1177_00368504231180026-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/abe39c94b842/10.1177_00368504231180026-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/72c36ee28065/10.1177_00368504231180026-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/f6447a7f8a6c/10.1177_00368504231180026-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/3c75b006203d/10.1177_00368504231180026-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/1b417d270751/10.1177_00368504231180026-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/a12ff018a546/10.1177_00368504231180026-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/22906e6d0285/10.1177_00368504231180026-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/49a2f874f67c/10.1177_00368504231180026-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/043670c869c1/10.1177_00368504231180026-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/e54f11cd93a3/10.1177_00368504231180026-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/dbc75d2589ef/10.1177_00368504231180026-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/25362d98e2a1/10.1177_00368504231180026-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/abe39c94b842/10.1177_00368504231180026-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/72c36ee28065/10.1177_00368504231180026-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/f6447a7f8a6c/10.1177_00368504231180026-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/3c75b006203d/10.1177_00368504231180026-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/1b417d270751/10.1177_00368504231180026-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/a12ff018a546/10.1177_00368504231180026-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/22906e6d0285/10.1177_00368504231180026-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/49a2f874f67c/10.1177_00368504231180026-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860b/10358631/043670c869c1/10.1177_00368504231180026-fig12.jpg

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