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Updated: May 11, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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基于激光超声波稀疏扫描的缺陷检测方法.

Chenwei Wang1, Rui Han1, Yihui Zhang1

  • 1State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.

Scientific reports
|April 16, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种稀疏扫描方法,用于高效的在线缺陷检测,在金属添加剂制造使用激光超声波技术. 该方法准确地识别出缺陷位置和形态,数据要求大大降低.

关键词:
增材制造 增材制造是一种增材制造.缺陷检测 检测缺陷检测 检测缺陷检测激光超声波是一种超声波.在线检测检测在线检测稀疏的扫描扫描 稀疏的扫描

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相关实验视频

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科学领域:

  • 材料科学 材料科学 材料科学
  • 机械工程 机械工程
  • 非破坏性测试 不破坏性测试

背景情况:

  • 金属增材制造 (AM) 正在迅速发展,增加了对AM元件强有力的质量控制的需求.
  • 在线缺陷检测对于确保金属AM部件的完整性和可靠性至关重要.
  • 激光超声波技术在AM过程中提供了非接触式现场监控的潜力.

研究的目的:

  • 开发和验证一个高效的在线缺陷检测方法金属AM使用激光超声波技术.
  • 提高检测效率和准确性,以描述缺陷位置和形态.
  • 研究超声波与缺陷之间的相互作用机制,以改进检测算法.

主要方法:

  • 提出了一种基于稀疏扫描超声波数据的新型缺陷检测方法.
  • 该方法利用超声波的传播路径和扫描参数来描述缺陷边缘.
  • 实验验证涉及五组实验,使用稀疏扫描对四种典型缺陷类型进行了五组实验.

主要成果:

  • 该方法准确地确定了大于1毫米的缺陷的位置和边缘形态.
  • 与合成孔径聚焦技术 (SAFT) 相比,提出的方法使用了15.5%的数据,并实现了SAFT 31.92%的计算效率,平均绝对误差 (MAE) 为27%.
  • 对于0.4毫米的内部孔缺陷,使用32%的数据获得了与SAFT一致的结果.

结论:

  • 拟议的稀疏扫描缺陷检测方法是高效的,适合在金属添加剂制造业的在线监测.
  • 与SAFT等传统方法相比,这种方法显著降低了数据采集和处理要求.
  • 这些发现支持将这项技术整合到增强AM过程中的质量控制中.