相关实验视频
Updated: Jun 24, 2025
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Surrogate Model Development for Digital Experiments in Welding
Published on: March 28, 2025
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基于视觉的算法,用于在线检测不钢管的TIG接偏差
概括
本研究介绍了一种图像处理方法,用于在不钢管道接中精确定位铁针尖. 该技术准确地识别接接,并计算接偏差.
科学领域:
- 材料科学与工程 材料科学与工程
- 制造过程 制造过程 制造过程
- 计算机视觉 计算机视觉
背景情况:
- 惰气 (TIG) 接对于不钢管道生产至关重要.
- 精确监控接过程对于质量控制至关重要.
研究的目的:
- 开发一种用于在TIG接中精确识别接接的自动化方法.
- 用图像分析来准确计算接偏差.
主要方法:
- 利用图像时刻从化池图像计算铁针尖的位置.
- 使用立方B-spline曲线提取接区域和插曲轮.
- 应用Savitzky-Golay (S-G) 过来降低噪声和提取特征点.
主要成果:
- 成功提取接特征点,以准确识别接接.
- 证明了在TIG接过程中精确计算接偏差的能力.
- 开发的方法在识别不钢管道中的接接时具有很高的准确性.
结论:
- 拟议的图像处理技术有效地识别了不钢管的TIG接中的接接.
- 该方法为实时监测和控制接偏差提供了一种可靠的方法.
- 自动化的接接识别提高了不钢管道制造的效率和质量.
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