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圆锥滚子轴承接触应力分布检测方法

Detection method for contact stress distribution of tapered roller bearings.

作者信息

Ji Ye, Ma Xinzhong, Zheng Haotian, Huang Kun, Wang Sheng, Zhang Danwen

机构信息

Luoyang Institute of Science and Technology, Luoyang, 471023, China.

Luoyang Juchuang Bearing Technology Co., Ltd., Luoyang, 471003, China.

出版信息

Sci Rep. 2024 May 7;14(1):10472. doi: 10.1038/s41598-024-61383-x.

DOI:10.1038/s41598-024-61383-x
PMID:38714809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11076488/
Abstract

The axle box of high-speed train adopts double row tapered roller bearings as transmission parts, and the reliability of bearings directly affects the safety of train operation. Tapered roller bearings can withstand axial and radial loads, their service life being closely related to the distribution of contact stress. The test object is the axle box bearing of high-speed train. According to bearing's structural characteristics, based on the digital speckle correlation method (DSCM) and machine vision, the contact stress distribution detection devices for rollers and complete sets of bearings are developed respectively and an effective detection method is proposed. The contact stress data of the bearing which has reached the service life and the new bearing under the condition of no lubrication and grease lubrication are collected and normalized. Through the geometric relationship, based on the measured data of the selected detection points, the normal and tangential contact stress distribution of the roller and raceway under different contact conditions is obtained by data fitting. The test can be used as an evaluation basis for the effectiveness of bearing modification and provide reference for bearing design.

摘要

高速列车的轴箱采用双列圆锥滚子轴承作为传动部件,轴承的可靠性直接影响列车运行的安全性。圆锥滚子轴承能承受轴向和径向载荷,其使用寿命与接触应力的分布密切相关。试验对象为高速列车的轴箱轴承。根据轴承的结构特点,基于数字散斑相关方法(DSCM)和机器视觉,分别开发了滚子和成套轴承的接触应力分布检测装置,并提出了一种有效的检测方法。收集达到使用寿命的轴承和新轴承在无润滑和油脂润滑条件下的接触应力数据并进行归一化处理。通过几何关系,基于所选检测点的测量数据,通过数据拟合得到不同接触条件下滚子与滚道的法向和切向接触应力分布。该试验可作为轴承改进有效性的评估依据,为轴承设计提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/eb4568354a59/41598_2024_61383_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/64bda7f951f2/41598_2024_61383_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/eb4568354a59/41598_2024_61383_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/62285e9ad07e/41598_2024_61383_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/e140559b1e2c/41598_2024_61383_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/e08924de179d/41598_2024_61383_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/29d12c8f5c47/41598_2024_61383_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/bfca1a7b7e53/41598_2024_61383_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/6ef659e648d2/41598_2024_61383_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/f84e028b663e/41598_2024_61383_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/7215f8c76d21/41598_2024_61383_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/64bda7f951f2/41598_2024_61383_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b0/11076488/eb4568354a59/41598_2024_61383_Fig10_HTML.jpg

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