Scholarlink

<p>The growing demand for high-precision manufacturing of thin-walled components has driven the need for non-destructive thickness measurement solutions. Existing ultrasonic thickness measurement systems require liquid couplants, ignore probe installation errors, and are limited to relatively flat components, which restricts their application in inspecting complex aerospace parts. This paper presents a robotic measurement system integrated with a dry-coupled ultrasonic probe (DCUP). The DCUP is modeled as a contact probe, and calibrated with a spherical shell to determine its structural parameters. A bounding box-based approach is introduced to estimate measurement costs, enabling the calculation of optimal measurement sequences between discrete points. Simulations demonstrate an approximately linear relationship between parameter identification error and robot positioning error, validating the robustness of the calibration method. Experimental validation on a work piece demonstrates the system’s capability to safely and accurately measure thickness at multiple selected points with a maximum measurement error below 0.013 mm.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A robotic measurement system with dry-coupled ultrasonic probe for thickness measurement of complex components

  • 期刊论文

  • 发表日期：

    2026年1月8日

查看全文
  • Hao Chen,
  • Yijun Shen,
  • Song Liu,
  • Xinyi Zhuo,
  • Yang Zhang,
  • Limin Zhu

摘要

The growing demand for high-precision manufacturing of thin-walled components has driven the need for non-destructive thickness measurement solutions. Existing ultrasonic thickness measurement systems require liquid couplants, ignore probe installation errors, and are limited to relatively flat components, which restricts their application in inspecting complex aerospace parts. This paper presents a robotic measurement system integrated with a dry-coupled ultrasonic probe (DCUP). The DCUP is modeled as a contact probe, and calibrated with a spherical shell to determine its structural parameters. A bounding box-based approach is introduced to estimate measurement costs, enabling the calculation of optimal measurement sequences between discrete points. Simulations demonstrate an approximately linear relationship between parameter identification error and robot positioning error, validating the robustness of the calibration method. Experimental validation on a work piece demonstrates the system’s capability to safely and accurately measure thickness at multiple selected points with a maximum measurement error below 0.013 mm.