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A Study on Welding Quality Inspection System for Shell-Tube Heat Exchanger Based on Machine Vision

机译:基于机器视觉的壳管换热器焊接质量检测系统研究

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摘要

An automated based-vision quality inspection system for Shell-Tube welding is presented in this paper in order to achieve nondestructive weld defect detection. The vision sensor is developed on the basis of the principle of laser triangulation. First, the composition and working principle of the vision-based quality inspection system are introduced, and meanwhile various defects may occur are described in detail. Then the image processing algorithm, as the most important part of online quality inspection system, is also represented. The image processing algorithm includes two parts: preprocessing and defect detection. In defect detection section, a novel method for determining and describing the position of undercut, which is based on the parameter equation of the circle to represent the position of the undercut, is presented. Last, two experiments are carried out for Shell-Tube heat exchanger and the experiments show that the image algorithm has high precision, strong robustness and can detect the defect accurately.
机译:本文提出了一种用于壳管焊接的自动化视觉质量检测系统,以实现无损焊接缺陷检测。视觉传感器是基于激光三角测量原理开发的。首先,引入了视觉基质量检测系统的组成和工作原理,同时可以详细描述各种缺陷。然后是图像处理算法,作为在线质量检测系统中最重要的部分,也是代表的。图像处理算法包括两部分:预处理和缺陷检测。在缺陷检测部分中,呈现了一种用于确定和描述底切的位置的新方法,其基于圆的参数方程来表示底切的位置。最后,对壳管热交换器进行了两个实验,实验表明,图像算法具有高精度,强大的鲁棒性,并且可以准确地检测缺陷。

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