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.
Authors
- Fotis Kopsaftopoulos (ORCID: https://orcid.org/0000-0001-8795-3725)
- Peiyuan Zhou (ORCID: https://orcid.org/0000-0003-4215-6938)
- Semih Akin (ORCID: https://orcid.org/0000-0002-3644-7133)
- Sima Rahman
- Sandipan Mishra (ORCID: https://orcid.org/0000-0001-6187-9221)
- Simin Huang (ORCID: https://orcid.org/0000-0003-3686-9632)
- Jinhan Ren
- Johnson Samuel (ORCID: https://orcid.org/0009-0000-2162-4312)
- JAMES S. SCHURE
Institutions
- Rensselaer Polytechnic Institute (US)
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
Funders
- Rensselaer Polytechnic Institute
- Defense Advanced Research Projects Agency
- Advanced Research Projects Agency