New approach for layer thickness measurements of coatings using pulsed lock-in thermography

IF 3.7 3区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Quantitative Infrared Thermography Journal Pub Date : 2020-09-22 DOI:10.1080/17686733.2020.1816752
D. Hoffmann, M. Bastian, G. Schober
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引用次数: 6

Abstract

ABSTRACT The coating of materials has grown to an important treatment for improving functionality and appearance of components. A decisive factor for a reliable and consistent performance in its field of application is the layer thickness of coated materials. Consequently, monitoring and controlling the thickness, especially the homogeneity of the coating, represent relevant tasks on a large scope. Active thermography has been established as a method for quality monitoring, but excitation sources for conventional lock-in thermography are either very expensive or relatively inert. Commonly used excitation sources for pulse thermography have a high responsiveness, but a lower signal-to-noise-ratio (SNR) usually confines the result. In this paper, a novel approach is presented where the sample is periodically excited with consecutive pulses and submitted to a lock-in evaluation. This so-called pulsed lock-in thermography offers a less expensive and reproducible way for non-destructive testing and has the potential for large-area measurement of the thickness of coatings.
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脉冲锁相热成像技术测量涂层层厚的新方法
摘要材料涂层已发展成为改善部件功能和外观的重要处理方法。涂层材料的层厚度是其应用领域中可靠和一致性能的决定性因素。因此,监测和控制厚度,特别是涂层的均匀性,代表了大范围的相关任务。主动热成像已被确立为一种质量监测方法,但传统锁定热成像的激励源要么非常昂贵,要么相对惰性。脉冲热成像常用的激励源具有高响应性,但较低的信噪比(SNR)通常限制了结果。在本文中,提出了一种新的方法,其中用连续脉冲周期性地激励样本,并将其提交给锁定评估。这种所谓的脉冲锁定热成像为无损检测提供了一种成本较低且可重复的方法,并具有大面积测量涂层厚度的潜力。
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来源期刊
Quantitative Infrared Thermography Journal
Quantitative Infrared Thermography Journal Physics and Astronomy-Instrumentation
CiteScore
6.80
自引率
12.00%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Quantitative InfraRed Thermography Journal (QIRT) provides a forum for industry and academia to discuss the latest developments of instrumentation, theoretical and experimental practices, data reduction, and image processing related to infrared thermography.
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