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Related Experiment Video

Updated: Nov 27, 2025

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Smart Self-Sensing Composite: Piezoelectric and Magnetostrictive FEA Modeling and Experimental Characterization Using

Relebohile George Qhobosheane1,2, Muthu Ram Prabhu Elenchezhian1,2, Partha Pratim Das1,2

  • 1Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.

Sensors (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study developed a smart composite using single-walled carbon nanotubes (SWCNTs) and Terfenol-D nanoparticles for advanced sensing. The composite demonstrated enhanced piezoelectric and magnetostrictive properties, improving mechanical strength and crack resistance.

Keywords:
fiber-reinforced compositesmagnetizationmagnetostrictionpiezoelectricplanar coilswireless sensors

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Composite Materials

Background:

  • Smart composites offer advanced sensing capabilities.
  • Piezoelectric and magnetostrictive materials are crucial for self-sensing applications.
  • Integrating single-walled carbon nanotubes (SWCNTs) and Terfenol-D nanoparticles can create novel smart composites.

Purpose of the Study:

  • To develop a piezoelectric magnetostrictive smart composite with enhanced sensing capabilities.
  • To investigate the self-sensing responses (piezoelectric and magnetostrictive) under applied stress using finite element analysis (FEA).
  • To characterize the mechanical properties, piezoelectric response, and magnetostriction response of the developed composite.

Main Methods:

  • Dispersion of SWCNTs for piezoelectric properties and Terfenol-D nanoparticles for magnetostrictive properties.
  • Finite element analysis (FEA) to model self-sensing responses.
  • Mechanical testing, including tensile tests and fracture toughness analysis.

Main Results:

  • Increased Terfenol-D nanoparticle volume fraction enhanced magnetization and voltage response up to saturation.
  • Optimum amplitude change was achieved at 0.35% Terfenol-D nanoparticle volume fraction.
  • Maximum electrical resistance change of 7.4% was observed with a constant SWCNT ratio.
  • Composite samples with both SWCNTs and Terfenol-D nanoparticles exhibited improved fracture toughness and resistance to crack propagation.

Conclusions:

  • The developed smart composite exhibits significant piezoelectric and magnetostrictive self-sensing capabilities.
  • FEA is a viable tool for modeling the complex responses of such smart composites.
  • The composite shows potential for applications requiring advanced sensing and improved mechanical integrity.