Quality Control of Composite parts by robot guided Terahertz imaging

M. Pfleger, Peter Fosodeder, H. Sehrschön, J. Dobson, S. Cozien-Cazuc, S. van Frank, C. Rankl
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Abstract

In this work a new approach for in-line quality inspection of drilling holes in glass reinforced fibre composites (GFRP) is presented. The method relies on Terahertz radiation and its large penetration depth in non-conductive materials. By applying THz reflection imaging, 3D information such as interfaces or defects within the sample can be obtained. As a starting point, a laboratory setup based on an industrial THz time-domain spectrometer (TDS) in combination with linear stages for the sample manipulation is built. A software for measurement automatization and data acquisition is developed. Based on measurements performed on drilled GFRP plates, an algorithm highlighting possible defects within the measurement data is developed. The results correlate very well with x-ray tomography (XCT) measurements. Finally, the THz-TDS system is transferred onto an industrial robot and the THz signal synchronized with the position of the robot’s head, expanding the flexibility of the method regarding the applicability to a wide variety of specimen geometries.
机器人引导太赫兹成像的复合材料零件质量控制
本文提出了一种玻璃增强纤维复合材料(GFRP)钻孔质量在线检测的新方法。该方法依赖于太赫兹辐射及其在非导电材料中的大穿透深度。通过太赫兹反射成像,可以获得样品内部的界面或缺陷等三维信息。作为起点,建立了一个基于工业太赫兹时域光谱仪(TDS)的实验室装置,并结合线性阶段进行样品处理。开发了测量自动化和数据采集软件。基于对钻孔玻璃钢板的测量,开发了一种算法来突出测量数据中可能存在的缺陷。结果与x射线断层扫描(XCT)测量结果非常吻合。最后,将太赫兹- tds系统转移到工业机器人上,太赫兹信号与机器人头部的位置同步,扩大了该方法在适用于各种试样几何形状方面的灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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