Research on Displacement Tracking Device Inside Hybrid Materials Based on Electromagnetic Induction Principle

Area of Science:

• Materials Science and Engineering
• Non-invasive Detection Technologies
• Electromagnetic Induction

Background:

• Traditional strain detection methods in bulk materials engineering suffer from high contact measurement interference and low spatial resolution.
• Magnetic induction imaging offers non-invasive, radiation-free, and fast imaging but requires improvement for strain detection.
• Existing methods lack the sensitivity and accuracy needed for precise strain analysis in composite materials.

Purpose of the Study:

• To develop an improved magnetic induction detection technique for non-contact strain detection in bulk materials engineering.
• To enhance the sensitivity and accuracy of strain detection by incorporating metal particle assistance.
• To provide a new technical approach for strain detection in road engineering and other composite materials.

Main Methods:

• A magnetic induction detection technique incorporating metal particle assistance was proposed.
• A hardware detection system based on an eight-coil sensor was designed and constructed.
• Finite element simulation and an image reconstruction algorithm were used for conductivity distribution reconstruction and analysis of coil parameters.

Main Results:

• The functionality and stability of the eight-coil sensor system were verified.
• Finite element analysis revealed the effects of coil turns and excitation parameters on induced voltage signals.
• The proposed method demonstrated potential for accurate conductivity distribution reconstruction.

Conclusions:

• The metal particle-assisted magnetic induction technique offers a promising solution for non-contact strain detection.
• The developed eight-coil sensor system provides a stable and functional platform for enhanced strain measurement.
• This approach advances non-contact strain detection capabilities in road engineering and composite materials analysis.