Embedded Piezoelectric Sensing for Metallic Components: A Novel SHM Architecture for Self-Aware Structures

This study presents a novel structural health monitoring (SHM) architecture for selfaware structures based on hybrid manufacturing for fabricating multifunctional metallic components with subsurface-embedded piezoelectric (PZT) sensors, enabling autonomous SHM capabilities. The developed methodology integrates Wire Arc Additive Manufacturing (WAAM), subtractive machining, and Cold Spray Additive Manufacturing (CSAM) to seamlessly embed commercial off-the-shelf PZT sensors within aluminum structures (Al-5356) while preserving structural integrity. The embedded sensors are protected by ceramic thermal barriers and metallized surfaces, facilitating process resumption for complex geometries. The experimental validation is based on acousto-ultrasonic guided wave (GW) propagation analysis under controlled mechanical loading (0-100 MPa) and thermal cycling (ambient to 100oC). Active-sensing configurations utilizing pitch-catch methodologies demonstrate equivalent performance to surface-mounted sensors, with capacitance-based electromechanical impedance signatures confirming sensor functionality. The fabricated self-sensing structures exhibit realtime diagnostic capabilities for detecting operational (static load) and environmental (temperature) state changes, demonstrating particular advantages for applications where surface-mounted sensors are impractical due to coating requirements or environmental protection constraints. This hybrid manufacturing framework establishes a foundation for next-generation intelligent metallic structures with integrated SHM functionality.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.12783/shm2025/37301
Citations
1
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.73

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Embedded Piezoelectric Sensing for Metallic Components: A Novel SHM Architecture for Self-Aware Structures

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Embedded Piezoelectric Sensing for Metallic Components: A Novel SHM Architecture for Self-Aware Structures

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article en
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Abstract

This study presents a novel structural health monitoring (SHM) architecture for selfaware structures based on hybrid manufacturing for fabricating multifunctional metallic components with subsurface-embedded piezoelectric (PZT) sensors, enabling autonomous SHM capabilities. The developed methodology integrates Wire Arc Additive Manufacturing (WAAM), subtractive machining, and Cold Spray Additive Manufacturing (CSAM) to seamlessly embed commercial off-the-shelf PZT sensors within aluminum structures (Al-5356) while preserving structural integrity. The embedded sensors are protected by ceramic thermal barriers and metallized surfaces, facilitating process resumption for complex geometries. The experimental validation is based on acousto-ultrasonic guided wave (GW) propagation analysis under controlled mechanical loading (0-100 MPa) and thermal cycling (ambient to 100oC). Active-sensing configurations utilizing pitch-catch methodologies demonstrate equivalent performance to surface-mounted sensors, with capacitance-based electromechanical impedance signatures confirming sensor functionality. The fabricated self-sensing structures exhibit realtime diagnostic capabilities for detecting operational (static load) and environmental (temperature) state changes, demonstrating particular advantages for applications where surface-mounted sensors are impractical due to coating requirements or environmental protection constraints. This hybrid manufacturing framework establishes a foundation for next-generation intelligent metallic structures with integrated SHM functionality.

Rensselaer Polytechnic Institute (US)
Rensselaer Polytechnic Institute, Defense Advanced Research Projects Agency, Advanced Research Projects Agency
Openalex Percentile: Top 22%
Advanced MEMS and NEMS Technologies
0.73
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