Research on 3D reconstruction of fatigue roller surface based on point cloud data

XU Gaopeng; ZHANG Xiong; XIONG Jian; LIAO Haishen; YANG Yan

doi:10.13873/J.1000-9787(2020)09-0049-04

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Research on 3D reconstruction of fatigue roller surface based on point cloud data

更新时间：2025-09-11

- Research on 3D reconstruction of fatigue roller surface based on point cloud data
- Vol. 39, Issue 9, Pages: 49-52(2020)
- 作者机构：
  
  1. 重庆理工大学机械工程学院
  2. 重庆理工大学汽车零部件先进制造技术教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2020)09-0049-04
  CLC： TH114;TP391.41
- Published：2020
- 稿件说明：
移动端阅览
[1]徐高鹏,张雄,熊建,廖海伸,杨岩.基于点云数据的疲劳滚子表面三维重建研究[J].传感器与微系统,2020,39(09):49-52.

XU Gaopeng, ZHANG Xiong, XIONG Jian, et al. Research on 3D reconstruction of fatigue roller surface based on point cloud data[J]. 2020, 39(9): 49-52.
[1]徐高鹏,张雄,熊建,廖海伸,杨岩.基于点云数据的疲劳滚子表面三维重建研究[J].传感器与微系统,2020,39(09):49-52. DOI： 10.13873/J.1000-9787(2020)09-0049-04.

XU Gaopeng, ZHANG Xiong, XIONG Jian, et al. Research on 3D reconstruction of fatigue roller surface based on point cloud data[J]. 2020, 39(9): 49-52. DOI： 10.13873/J.1000-9787(2020)09-0049-04.

摘要

针对目前滚动接触疲劳试验不能检测缺陷的三维形貌特征的问题

提出了一种基于点云数据的疲劳滚子表面三维重建方法。首先采用三维激光扫描仪采集疲劳滚子表面的点云原始数据;使用梯度分割的方法实现疲劳接触面的分割;利用Statistical Outlier Removal滤波器中的Kd-Tree算法去除离群噪点;并实现了平铺点云的卷曲化;最后对卷曲化后的点云进行了贪婪三角化和孔洞修复重建。实验结果表明:疲劳接触面的分割精度在97.7%以上

点云卷曲化误差率为0.09%

重建后的疲劳滚子表面最大偏差为0.019 9 mm

能够为分析滚子试件在模拟工况条件下的接触疲劳性能提供依据。

Abstract

Aiming at the problem that the current rolling contact fatigue test fails to detect the three-dimensional（ 3 D） morphological characteristics of defects

a 3 D reconstruction method of fatigue roller surface based on point cloud data is proposed. Firstly

a 3 D laser scanner is used to obtain point cloud raw data on the surface of the fatigue roller; gradient segmentation method is used to achieve the segmentation of fatigue contact surface; the KdTree algorithm in the Statistical Outlier Removal filter is used to remove outlier noise; and the curling of the tiled point cloud is realized; finally

greedy triangulation and hole restoration are performed on the curled point cloud.The experimental results show that the segmentation precision of the fatigue contact surface is above 97. 7 %

error rate of the point cloud curling is 0. 09 %

and the maximum deviation of the fatigue roller surface after reconstruction is 0. 019 9 mm

which can provide basis for analyzing on contact fatigue performance of roller specimen under simulated working conditions.

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references

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