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Equivalent magnetic noise in multi- push-pull configuration magnetoelectric composites: model and experiment
Summary
This study presents a theoretical model for magnetoelectric (ME) composites. The model accurately predicts ME voltage and charge coefficients, as well as noise characteristics, with experimental validation.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Electrical Engineering
Background:
- Magnetoelectric (ME) composites offer unique functionalities by coupling magnetic and electric properties.
- Understanding the performance of ME laminated composites is crucial for developing advanced sensors and actuators.
Purpose of the Study:
- To develop a theoretical model for multi-push-pull ME laminated composites.
- To derive analytical solutions for ME voltage coefficient (αE), ME charge coefficient (αQ), noise charge density, and equivalent magnetic noise.
- To investigate the influence of material properties and polyimide film geometry on these parameters.
Main Methods:
- Theoretical modeling of multi-push-pull ME laminated composites.
- Derivation of analytical solutions for key ME parameters.
- Parametric studies to analyze the impact of material properties and geometric factors.
- Comparison of theoretical predictions with experimental data.
Main Results:
- The ME voltage coefficient (αE) is primarily dependent on magnetostrictive and piezoelectric phase parameters.
- The ME charge coefficient (αQ) and noise charge density are influenced by component parameters, piezoelectric volume fraction, and polyimide film geometry.
- Equivalent magnetic noise depends on component parameters and piezoelectric volume fraction, independent of polyimide film geometry.
- Theoretical results show good agreement with experimental findings.
Conclusions:
- The developed theoretical model provides accurate predictions for the performance of ME laminated composites.
- Material properties, phase volume fractions, and geometric configurations significantly impact ME coefficients and noise characteristics.
- The findings are valuable for the design and optimization of ME devices.
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