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Layered half-space modeling of piezoelectric TPMS-based CNT/PDMS composites under surface loadings
Lotfi Ben Said1, Sonal Nirwal2, Wei-Chieh Liu3
1Department of Mechanical Engineering, College of Engineering, University of Ha'il, 81451, Ha'il City, Saudi Arabia.
This study explores piezoelectric composites with carbon nanotube-doped PDMS and Triply Periodic Minimal Surface geometries. Microstructural optimization is key for advanced composites in sensors and large devices.
Area of Science:
- Materials Science
- Composite Materials
- Nanotechnology
Background:
- Piezoelectric (PE) composites are crucial for various applications.
- Carbon nanotube (CNT)-doped polydimethylsiloxane (PDMS) offers tunable properties.
- Triply Periodic Minimal Surface (TPMS) geometries provide unique structural advantages.
Purpose of the Study:
- To investigate the static response of PE composites with CNT-doped PDMS matrix and TPMS reinforcement.
- To analyze the effect of CNT volume fraction and agglomeration on composite behavior.
- To explore the potential of microstructural optimization for advanced PE composite design.
Main Methods:
- Utilized an eigenvalue-eigenvector approach for layer solutions.
- Employed the Dual Variable and Position (DVP) method for multilayered configurations.
- Applied boundary and interface conditions to obtain high-frequency domain results.
Main Results:
- Examined composites with varying CNT volume fractions (0% to 0.891%) and agglomeration levels (ζ=0.15, 0.40).
- Investigated TPMS-based PE phase reinforcement at volume fractions of 10% to 40%.
- Demonstrated the significant impact of microstructural parameters on composite performance.
Conclusions:
- Microstructural optimization is critical for developing high-performance PE composites.
- The study provides insights into designing composites for geophysical sensors and large-scale devices.
- Findings underscore the potential of CNT-doped PDMS and TPMS architectures in advanced materials.
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