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Magneto-Mechanical Coupling Modeling and Full-Cycle Characterization of V-Shaped Crack Evolution in Q345 Steel Using
Cheng Xu1,2, Haiyan Xing2, Liwei Zhao3
1School of Mechanical and Electronic Engineering, Qiqihar University, Qiqihar 161006, China.
Materials (Basel, Switzerland)
|May 27, 2026
Summary
Metal magnetic memory (MMM) testing detects cracks in ferromagnetic materials. This study introduces a new model to track crack growth, improving structural integrity assessment and fatigue life prediction.
Area of Science:
- Materials Science
- Non-Destructive Evaluation
- Magnetism
Background:
- Metal magnetic memory (MMM) is a non-destructive evaluation technique for detecting defects in ferromagnetic materials.
- Existing magneto-mechanical coupling models struggle to accurately describe the behavior of small cracks throughout their lifecycle.
- Characterizing crack evolution is crucial for assessing structural integrity and predicting fatigue life.
Purpose of the Study:
- To develop and validate a novel magnetic dipole model for analyzing V-shaped cracks in ferromagnetic materials.
- To investigate the magneto-mechanical coupling mechanism and magnetic signal evolution during crack propagation.
- To establish a quantitative correlation between MMM signals and crack growth for improved damage assessment.
Main Methods:
- Development of a decomposed magnetic dipole model for V-shaped cracks.
- Theoretical derivation and finite element simulation of magneto-mechanical coupling.
- In situ three-point bending tests on Q345 steel to validate the model and observe crack propagation.
Main Results:
- The MMM normal component shows peak-peak features at crack tips, while the tangential component exhibits a single peak.
- Two critical signal mutations were identified at approximately 100 μm and 3000 μm crack lengths, indicating micro-meso and meso-macro transitions.
- The proposed model achieved relative errors of 15.2% for Hx and 17.6% for Hy, demonstrating its validity.
Conclusions:
- The study successfully correlates MMM signals with the full lifecycle of crack growth in ferromagnetic materials.
- The developed model provides a more computationally efficient and accurate method for characterizing crack evolution compared to existing models.
- This research supports enhanced damage assessment and fatigue life prediction for engineering structures utilizing ferromagnetic materials.
Keywords:
Q345 steelcrack evolutionmagnetic dipole modelmagneto-mechanical couplingmetal magnetic memoryMore Related Videos
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