基于计算机图像处理技术的橡胶材料老化裂纹自动识别方法研究

徐云慧; 涂辉; 薛志远; 周微; ZAHEER ul Haq; 罗政刚; 王再学

doi:10.14028/j.cnki.1003-3726.2025.24.391

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基于计算机图像处理技术的橡胶材料老化裂纹自动识别方法研究

研究论文 | 更新时间：2025-05-23

- 基于计算机图像处理技术的橡胶材料老化裂纹自动识别方法研究
- Research on Automatic Identification Method of Aging Cracks in Rubber Materials Based on Computer Image Processing Technology
- 高分子通报 2025年38卷第6期页码：931-941
- 作者机构：
  
  1.徐州工业职业技术学院材料工程学院，徐州 221140
  2.上海交通大学化学化工学院，上海 220240
- 作者简介：
  
  xuyh@mail.xzcit.cn
- 基金信息：
  
  国家自然科学基金(52173103);江苏省优秀科技创新团队项目(2021-149);江苏省高校基础科学(自然科学)研究重大项目(23KJA430015);徐州市高价值专利培育计划(XZ-HVP-2021-02)
- DOI：10.14028/j.cnki.1003-3726.2025.24.391
  中图分类号：
- 收稿日期：2025-02-01，
  
  录用日期：2025-02-21，
  
  网络出版日期：2025-03-27，
  
  纸质出版日期：2025-06-20
- 稿件说明：
移动端阅览
徐云慧, 涂辉, 薛志远, 周微, ZAHEER ul Haq, 罗政刚, 王再学. 基于计算机图像处理技术的橡胶材料老化裂纹自动识别方法研究. 高分子通报, 2025, 38(6), 931-941.

Xu, Y. H.; Tu, H.; Xue, Z. Y.; Zhou, W.; ZAHEER ul Haq, Luo, Z. G.; Wang, Z. X. Research on automatic identification method of aging cracks in rubber materials based on computer image processing technology. Polym. Bull. (in Chinese), 2025, 38(6), 931-941.
徐云慧, 涂辉, 薛志远, 周微, ZAHEER ul Haq, 罗政刚, 王再学. 基于计算机图像处理技术的橡胶材料老化裂纹自动识别方法研究. 高分子通报, 2025, 38(6), 931-941. DOI： 10.14028/j.cnki.1003-3726.2025.24.391.

Xu, Y. H.; Tu, H.; Xue, Z. Y.; Zhou, W.; ZAHEER ul Haq, Luo, Z. G.; Wang, Z. X. Research on automatic identification method of aging cracks in rubber materials based on computer image processing technology. Polym. Bull. (in Chinese), 2025, 38(6), 931-941. DOI： 10.14028/j.cnki.1003-3726.2025.24.391.

摘要

橡胶材料在工业界有着广泛的应用，老化是影响工业应用中使用的各种橡胶材料性能的关键因素，橡胶材料老化后表面会出现龟裂裂纹。目前老化纹裂的观察主要依赖肉眼观察，存在主观判断偏差、动态跟踪困难和难以量化等问题。本文提出了一种基于计算机图像处理技术的橡胶材料老化裂纹自动识别方法，能够客观有效地识别和分析橡胶表面老化侵蚀的程度。研究涵盖了无拉伸状态下橡胶臭氧老化裂纹、不同拉伸应变状态下橡胶臭氧老化裂纹，以及橡胶光老化和热氧老化裂纹的自动识别。结果表明，该方法可以准确、快速地判断橡胶龟裂裂口的个数和裂纹面积，从而确定龟裂裂口的程度以及橡胶的耐老化能力。这一研究结果为深入了解橡胶材料的老化过程提供了自动化识别方案，为裂纹扩展的动态过程记录以及形态学与性能关系的建立提供了可能，同时也为制定提高橡胶材料耐老化性能的策略提供了过程数据。

Abstract

Rubber materials are widely used in the industry. Aging is a key factor that affects the properties of various rubber materials used in industrial applications

and cracks appear on the surface of rubber materials after aging. At present

the observation of aging cracks mainly relies on visual observation

and there are problems

such as subjective judgment bias

dynamic tracking difficulties

and difficulty in quantification

which can objectively and effectively identify and analyze the degree of aging erosion of rubber surfaces using the automatic identification method of aging cracks in rubber materials based on the computer image processing technology proposed in this paper. The automatic identification of rubber ozone aging without a tensile state

rubber ozone aging under different tensile strain states

rubber light aging

and thermal oxygen aging cracks has been studied. The results show that through automatic identification

the number and area of rubber cracks can be accurately and quickly determined

so as to judge the degree of cracking

that is

the aging resistance of rubber

and provide an automatic identification scheme for an in-depth understanding of the aging process of rubber materials

providing the possibility for recording the dynamic process of crack propagation and establishing the relationship between morphology and performance

and providing process data for improving the aging resistance strategy of rubber materials.

关键词

Keywords

references

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