Subsurface interfacial defects of metal materials testing using ultrasound infrared lock-in thermography

Qingju Tang; Junyan Liu; Yang Wang; Hui Liu

doi:10.1016/j.proeng.2011.08.1116

Subsurface interfacial defects of metal materials testing using ultrasound infrared lock-in thermography

Qingju Tang
, Junyan Liu
, Yang Wang^*
, Hui Liu

^*Corresponding author for this work

School of Mechatronics Engineering, Harbin Institute of Technology
Heilongjiang University of Science and Technology

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

A novel non-destructive ultrasound infrared lock-in thermography (ULT) testing method was presented in order to detect metal specimens with subsurface contacting interfacial defects. An experimental platform was built. Experiments had been carried out to Q235 plates with different testing parameters. The testing effect of amplitude and phase images was analyzed, and the relation between amplitude difference, phase difference, signal-to-noise ratio and modulation frequency was discussed. An adaptive neuro-fuzzy inference system model was built to forecast the depth of defects.

Original language	English
Pages (from-to)	499-505
Number of pages	7
Journal	Procedia Engineering
Volume	16
DOIs	https://doi.org/10.1016/j.proeng.2011.08.1116
State	Published - 2011
Externally published	Yes
Event	International Workshop on Automobile, Power and Energy Engineering, APEE 2011 - Wuhan, China Duration: 15 Apr 2011 → 17 Apr 2011

Keywords

Amplitude
Interfacial defects
Modulation frequency
Phase
Ultrasound infrared lock-in thermography

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10.1016/j.proeng.2011.08.1116

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title = "Subsurface interfacial defects of metal materials testing using ultrasound infrared lock-in thermography",

abstract = "A novel non-destructive ultrasound infrared lock-in thermography (ULT) testing method was presented in order to detect metal specimens with subsurface contacting interfacial defects. An experimental platform was built. Experiments had been carried out to Q235 plates with different testing parameters. The testing effect of amplitude and phase images was analyzed, and the relation between amplitude difference, phase difference, signal-to-noise ratio and modulation frequency was discussed. An adaptive neuro-fuzzy inference system model was built to forecast the depth of defects.",

keywords = "Amplitude, Interfacial defects, Modulation frequency, Phase, Ultrasound infrared lock-in thermography",

author = "Qingju Tang and Junyan Liu and Yang Wang and Hui Liu",

year = "2011",

doi = "10.1016/j.proeng.2011.08.1116",

language = "英语",

volume = "16",

pages = "499--505",

journal = "Procedia Engineering",

issn = "1877-7058",

publisher = "Elsevier Ltd",

note = "International Workshop on Automobile, Power and Energy Engineering, APEE 2011 ; Conference date: 15-04-2011 Through 17-04-2011",

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TY - JOUR

T1 - Subsurface interfacial defects of metal materials testing using ultrasound infrared lock-in thermography

AU - Tang, Qingju

AU - Liu, Junyan

AU - Wang, Yang

AU - Liu, Hui

PY - 2011

Y1 - 2011

N2 - A novel non-destructive ultrasound infrared lock-in thermography (ULT) testing method was presented in order to detect metal specimens with subsurface contacting interfacial defects. An experimental platform was built. Experiments had been carried out to Q235 plates with different testing parameters. The testing effect of amplitude and phase images was analyzed, and the relation between amplitude difference, phase difference, signal-to-noise ratio and modulation frequency was discussed. An adaptive neuro-fuzzy inference system model was built to forecast the depth of defects.

AB - A novel non-destructive ultrasound infrared lock-in thermography (ULT) testing method was presented in order to detect metal specimens with subsurface contacting interfacial defects. An experimental platform was built. Experiments had been carried out to Q235 plates with different testing parameters. The testing effect of amplitude and phase images was analyzed, and the relation between amplitude difference, phase difference, signal-to-noise ratio and modulation frequency was discussed. An adaptive neuro-fuzzy inference system model was built to forecast the depth of defects.

KW - Amplitude

KW - Interfacial defects

KW - Modulation frequency

KW - Phase

KW - Ultrasound infrared lock-in thermography

UR - https://www.scopus.com/pages/publications/84862913256

U2 - 10.1016/j.proeng.2011.08.1116

DO - 10.1016/j.proeng.2011.08.1116

M3 - 会议文章

AN - SCOPUS:84862913256

SN - 1877-7058

VL - 16

SP - 499

EP - 505

JO - Procedia Engineering

JF - Procedia Engineering

T2 - International Workshop on Automobile, Power and Energy Engineering, APEE 2011

Y2 - 15 April 2011 through 17 April 2011

ER -

Subsurface interfacial defects of metal materials testing using ultrasound infrared lock-in thermography

Abstract

Keywords

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