Next‐Generation Embedded Printed Sensors for Near‐Field Monitoring of High‐Performance Composites

Monitoring the structural health of composites during manufacturing and in‐service is desirable to alert against damage or deterioration of conditions beyond an acceptable level. Wireless sensors embedded into materials that can endure the forming and curing of carbon fiber‐reinforced polymer laminates will open the door to automated near‐field detection of key metrics such as temperature, strain, and manufacturing defects. Current sensing technologies are generally too intrusive and fragile to be reliably embedded into laminates or too expensive to be applied commercially. The development of embedded, low‐weight, small‐footprint sensors is reported here, and how these sensors can be used to monitor ply movement during the manufacturing process is demonstrated. These screen‐printed sensors consist of closed‐loop spiral coils excited externally with an AC magnetic field to generate a secondary field, which alerts on the change of relative position of each ply. This proof‐of‐concept work demonstrates how printed coil sensors can be fabricated to generate a high electromagnetic response, while minimizing their footprint in the laminate. It is determined that stacked silver coils, which are subsequently plated with copper to increase the conductance, are capable of producing signals that can be detected through over 3 mm of composite material.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Next‐Generation Embedded Printed Sensors for Near‐Field Monitoring of High‐Performance Composites ; day:10 ; month:01 ; year:2025 ; extent:9
Advanced engineering materials ; (10.01.2025) (gesamt 9)

Urheber
Barragán, José
Kell, Arnold
Liu, Xiangyang
Shin, Seokjee
Mandache, Catalin
Djokic, Drazen
Bennett, Dayna
Houlahan, Katherine
Genest, Marc
Lessard, Benoît H.
Paquet, Chantal

DOI
10.1002/adem.202401332
URN
urn:nbn:de:101:1-2501111312125.254798786828
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:27 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Beteiligte

  • Barragán, José
  • Kell, Arnold
  • Liu, Xiangyang
  • Shin, Seokjee
  • Mandache, Catalin
  • Djokic, Drazen
  • Bennett, Dayna
  • Houlahan, Katherine
  • Genest, Marc
  • Lessard, Benoît H.
  • Paquet, Chantal

Ähnliche Objekte (12)