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基于机器视觉的疲劳裂纹扩展系统。

Machine Vision-Based Fatigue Crack Propagation System.

机构信息

Department of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.

出版信息

Sensors (Basel). 2022 Sep 10;22(18):6852. doi: 10.3390/s22186852.

Abstract

This paper introduces a machine vision-based system promising low-cost solution for detecting a fatigue crack propagation caused by alternating mechanical stresses. The fatigue crack in technical components usually starts on surfaces at stress concentration points. The presented system was designed to substitute a strain gauge sensor-based measurement using an industrial camera in cooperation with branding software. This paper presents implementation of a machine vision system and algorithm outputs taking on fatigue crack propagation samples.

摘要

本文介绍了一种基于机器视觉的系统,可为检测交变机械应力引起的疲劳裂纹扩展提供低成本的解决方案。技术部件中的疲劳裂纹通常始于表面的应力集中点。所提出的系统旨在替代基于应变计传感器的测量,使用工业相机与打标软件配合使用。本文介绍了机器视觉系统的实现以及针对疲劳裂纹扩展样本的算法输出。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ed/9504353/218147d0d3a8/sensors-22-06852-g001.jpg

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