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基于超声导波的不锈钢管束结构检测系统开发研究

A Study on the Development of the Stainless Steel Tube Bundle Structure Detecting System Using Ultrasonic Guided Wave.

作者信息

Kim Jeongnam, Zhang Jiannan, Malikov Azamatjon Kakhramon Ugli, Cho Younho

机构信息

Department of Reliability, Virtual Engineering Platform Research Division, Korea Institute of Machinery & Materials, 156 Gajeongbuk-ro, Yuseong-gu, Daejeon 34103, Republic of Korea.

Graduate School of Mechanical, Pusan National University, 63 Beon-gil, Busandaehak-ro, Geumjeong-gu, Busan 46241, Republic of Korea.

出版信息

Sensors (Basel). 2024 Aug 15;24(16):5278. doi: 10.3390/s24165278.

DOI:10.3390/s24165278
PMID:39204972
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11359131/
Abstract

In this study, an ultrasonic guided wave system that can be used to detect broken tubes in stainless steel tube bundle structures (e.g., heat exchangers) with fairly narrow spacing between the tubes was designed. The interval between the tubes was 1.5 mm, and the thickness of the strip with a transducer that can be inspected by passing between the tubes was designed to be 1 mm. The damaged specimen was filled with water, and it was confirmed that the signal amplitude was smaller than that of the normal specimen filled with air. The ultrasonic properties of stainless steel were analyzed using the developed system, and it is expected that this will contribute to breakage inspection for tube bundles with narrow spacing.

摘要

在本研究中,设计了一种超声波导波系统,该系统可用于检测不锈钢管束结构(如热交换器)中管子间距相当窄的破损管子。管子之间的间距为1.5毫米,带有可在管子之间通过进行检测的换能器的条带厚度设计为1毫米。损坏的试样充满水,并且证实信号幅度小于充满空气的正常试样的信号幅度。使用所开发的系统分析了不锈钢的超声特性,预计这将有助于对间距窄的管束进行破损检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/388b/11359131/4a493ab74b3a/sensors-24-05278-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/388b/11359131/44d4b36c1fec/sensors-24-05278-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/388b/11359131/4a493ab74b3a/sensors-24-05278-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/388b/11359131/44d4b36c1fec/sensors-24-05278-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/388b/11359131/4a493ab74b3a/sensors-24-05278-g017.jpg

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本文引用的文献

1
Diagnostic-Quality Guided Wave Signals Synthesized Using Generative Adversarial Neural Networks.基于生成对抗神经网络生成的诊断质量导波信号。
Sensors (Basel). 2022 May 19;22(10):3848. doi: 10.3390/s22103848.
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Structural Integrity of Steel Pipeline with Clusters of Corrosion Defects.含腐蚀缺陷群的钢制管道结构完整性
Materials (Basel). 2021 Feb 10;14(4):852. doi: 10.3390/ma14040852.
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Modeling and simulation of backward combined harmonic generation induced by one-way mixing of longitudinal ultrasonic guided waves in a circular pipe.
圆管中纵向超声导波单向混合诱导反向组合谐波产生的建模与仿真
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Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves.使用超声导波的大型金属结构的结构健康监测(SHM)和表面缺陷测定。
Sensors (Basel). 2018 Nov 15;18(11):3958. doi: 10.3390/s18113958.
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