Design and Integration of Flexible Sensor Matrix for in Situ Monitoring of Polymer Composites

Yang, Yang; Chiesura, Gabriele; Plovie, Bart; Vervust, Thomas; Luyckx, Geert; Degrieck, Joris; Sekitani, Tsuyoshi; Vanfleteren, Jan

doi:10.1021/acssensors.8b00425

Title: Design and Integration of Flexible Sensor Matrix for in Situ Monitoring of Polymer Composites

Journal Article · Mon Jul 16 00:00:00 EDT 2018 · ACS Sensors

DOI:https://doi.org/10.1021/acssensors.8b00425· OSTI ID:1605903

^[1]; Chiesura, Gabriele ^[2]; Plovie, Bart ^[2]; Vervust, Thomas ^[2]; Luyckx, Geert ^[3]; Degrieck, Joris ^[3]; Sekitani, Tsuyoshi ^[4]; Vanfleteren, Jan ^[2]

Ghent Univ. (Belgium); Osaka Univ. (Japan); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Ghent Univ. (Belgium)
Ghent Univ. (Belgium). Dept. of Materials Science and Engineering
Osaka Univ. (Japan)

Sensory polymer composites are highly desirable for applications such as in situ and real-time production processes and structural health monitoring, and for technologies that include human–machine interfaces for the next generation of Internet of Things. However, the development of these materials is still in its infancy: these materials have been reported, but large-scale fabrication of polymer composites with versatile and customizable sensing capabilities has yet to be demonstrated. Here, we report on a scalable fabrication strategy that enables such materials by designing and integrating PCB technology-inspired large-area flexible sensor matrices into polymer composites. The integrated sensor matrices successfully monitored in situ the production processes and structural health of an industrial polymer composite: from the application of vacuum, resin flow and polymerization, production defects, and temperature distribution. Our results demonstrate that the proposed strategy is a simple and effective solution as a distributed monitoring platform for polymer composites and shows the potential towards next generation of sensory polymer composites.

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Research Organization:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1605903

Report Number(s):: PNNL-SA-135122

Journal Information:: ACS Sensors, Vol. 3, Issue 9; ISSN 2379-3694

Publisher:: American Chemical Society (ACS)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 17 works

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