TY - GEN
T1 - Carbon nanomaterials based fiber sensors for highly sensitive and versatile in situ monitoring of composites manufacturing
AU - Luo, Sida
AU - Wang, Yong
AU - Wang, Guantao
N1 - Publisher Copyright:
© 2018. Used by the Society of the Advancement of Material and Process Engineering with permission.
PY - 2018
Y1 - 2018
N2 - Carbon nanomaterials (CNM) based sensor technology has offered a variety of promising strategies for enabling self-sensing and diagnosing functionalities for next-generation hierarchical composites. In comparison to excessive studies on detecting structural deformations and cracks, the technology for monitoring the manufacturing stage of composites using CNMs is rather limited. Based on continuous sensor fabrication protocols, we systematically investigate carbon nanotubes (CNTs) coated, graphene coated and carbon fiber enabled sensors for monitoring the complete molding process of composites through acquiring the real-time resistance change of sensors. Comparing to graphene-coated and carbon fibers with densely and continuously packed graphitic structures, the CNT coated fiber sensor with the entangled and loosely packed porous network shows far superior performance for sensing different processing stages of composites, including resin infiltration, gelation and curing.
AB - Carbon nanomaterials (CNM) based sensor technology has offered a variety of promising strategies for enabling self-sensing and diagnosing functionalities for next-generation hierarchical composites. In comparison to excessive studies on detecting structural deformations and cracks, the technology for monitoring the manufacturing stage of composites using CNMs is rather limited. Based on continuous sensor fabrication protocols, we systematically investigate carbon nanotubes (CNTs) coated, graphene coated and carbon fiber enabled sensors for monitoring the complete molding process of composites through acquiring the real-time resistance change of sensors. Comparing to graphene-coated and carbon fibers with densely and continuously packed graphitic structures, the CNT coated fiber sensor with the entangled and loosely packed porous network shows far superior performance for sensing different processing stages of composites, including resin infiltration, gelation and curing.
UR - https://www.scopus.com/pages/publications/85050390349
M3 - 会议稿件
AN - SCOPUS:85050390349
T3 - International SAMPE Technical Conference
BT - SAMPE Long Beach 2018 Conference and Exhibition
A2 - Storage, Kara
A2 - Sutter, Thomas
A2 - Beckwith, Scott
A2 - Bond, Gary
A2 - Storage, Tara
PB - Soc. for the Advancement of Material and Process Engineering
T2 - SAMPE Long Beach 2018 Conference and Exhibition
Y2 - 21 May 2018 through 24 May 2018
ER -