Research on the electromagnetic ultrasonic detection method of initiation crack based on multi-acoustic coefficients fusion

Abstract The traditional single acoustic coefficient cannot judge the different degrees of fatigue damage such as initiation crack and crack extension. Based on the law between the structural evolution of dislocation pile-up initiation crack and the acoustic coefficients, a multi-acoustic coefficients fusion feature-fatigue damage stage detection method is proposed, according to the ultrasonic echo time-domain signal peak-to-peak amplitude of linear characteristics and ultrasonic echo frequency-domain signal nonlinear characteristics as the multi-acoustic coefficient fusion features. The multi-acoustic coefficient fusion feature is obtained by using the multi-point detection signal of a single fatigue-damaged aluminium plate in order to determine the different fatigue stages such as initiation crack and crack extension. The fatigue damage stage is calibrated by microscopic observation, and the accuracy of electromagnetic ultrasonic detection in the fatigue damage stage is compared and analyzed. The results show that the multi-acoustic coefficient fusion feature can effectively provide fatigue damage degree characteristics compared to a single acoustic coefficient. The detection method of multi-acoustic coefficients fusion can provide early warning of initiation crack and crack extension damage, which provides a theoretical and experimental basis for the application of electromagnetic acoustic transducer (EMAT) assessment of fatigue damage in metallic materials.

Authors

Institutions

Publication Details

Journal
Measurement Science and Technology
Published
2024-09-30
DOI
https://doi.org/10.1088/1361-6501/ad817c
Citations
4
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the electromagnetic ultrasonic detection method of initiation crack based on multi-acoustic coefficients fusion

Xiaohui Zhang, Hongwei Lin, Jia Zhang, Yanhao Xing et al.
4 citations
Measurement Science and Technology
Non-Destructive Testing Techniques
0.85
article

Research on the electromagnetic ultrasonic detection method of initiation crack based on multi-acoustic coefficients fusion

Xiaohui Zhang, Hongwei Lin, Jia Zhang, Yanhao Xing, Haiyu Jin
article en
4 citations

Abstract

Abstract The traditional single acoustic coefficient cannot judge the different degrees of fatigue damage such as initiation crack and crack extension. Based on the law between the structural evolution of dislocation pile-up initiation crack and the acoustic coefficients, a multi-acoustic coefficients fusion feature-fatigue damage stage detection method is proposed, according to the ultrasonic echo time-domain signal peak-to-peak amplitude of linear characteristics and ultrasonic echo frequency-domain signal nonlinear characteristics as the multi-acoustic coefficient fusion features. The multi-acoustic coefficient fusion feature is obtained by using the multi-point detection signal of a single fatigue-damaged aluminium plate in order to determine the different fatigue stages such as initiation crack and crack extension. The fatigue damage stage is calibrated by microscopic observation, and the accuracy of electromagnetic ultrasonic detection in the fatigue damage stage is compared and analyzed. The results show that the multi-acoustic coefficient fusion feature can effectively provide fatigue damage degree characteristics compared to a single acoustic coefficient. The detection method of multi-acoustic coefficients fusion can provide early warning of initiation crack and crack extension damage, which provides a theoretical and experimental basis for the application of electromagnetic acoustic transducer (EMAT) assessment of fatigue damage in metallic materials.

Measurement Science and TechnologyVol. 36(1)
Shenyang University of Technology (CN), Xinjiang Uygur Autonomous Region Institute Inspection of Special Equipment (CN), Health Commission of Jilin Province (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, National Key Research and Development Program of China
Openalex Percentile: Top 30%
Non-Destructive Testing Techniques
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.