Scalable and multifunctional carbon nanotube-based textile as distributed sensors for flow and cure monitoring

被引:36
作者
Dai, Hongbo [1 ]
Thostenson, Erik T. [1 ,2 ,3 ]
机构
[1] Univ Delaware, Ctr Composite Mat, Newark, DE 19716 USA
[2] Univ Delaware, Dept Mech Engn, Newark, DE 19716 USA
[3] Univ Delaware, Dept Mat Sci & Engn, Newark, DE 19716 USA
基金
美国国家科学基金会;
关键词
ELECTRICAL-IMPEDANCE TOMOGRAPHY; ENABLED FIBER SENSORS; MOLDING RTM PROCESS; RESIN FLOW; INFUSION PROCESS; VACUUM INFUSION; COMPOSITES; DAMAGE; CONDUCTIVITY; FILM;
D O I
10.1016/j.carbon.2020.02.079
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Many manufacturing processes involve flow and cure of polymeric materials and development of sensors to detect these phenomena in situ and in real-time is important to reduce processing time and improve quality. This paper reports the development of a novel multifunctional sensor where carbon nanotubes are deposited onto a nonwoven textile to create a thin and porous areal sensor. The sensor is produced using a scalable dip-coating process and carbon nanotubes form an electrically conductive network on the fabric. Vacuum assisted resin transfer molding (VARTM) for advanced fiber composites is used to validate the sensor by using global and local distributed measurements to monitor the flow of epoxy resin. Spatial flow mapping is demonstrated using electrical impedance tomography (EIT). In a series of 2-D radial flow experiments, the EIT maps demonstrate accurate estimations for the resin flow, in terms of flow front location and shape, and is able to pinpoint dry spots and unsaturated regions. During elevated temperature cure, the sensor electrical response can be correlated directly to changes in viscosity and gelation of the epoxy. The sensor offers potential as a process sensor for flow and cure as well as for structural health monitoring. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:28 / 41
页数:14
相关论文
共 73 条
[1]   Electrical impedance tomography: Regularized imaging and contrast detection [J].
Adler, A ;
Guardo, R .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1996, 15 (02) :170-179
[2]  
Advani SG, 2012, WOODHEAD PUBL MATER, P1, DOI 10.1533/9780857096258
[3]  
Agarwal BD, 2017, ANAL PERFORMANCE FIB, V4th
[4]   Integration of carbon nanotube sensing skins and carbon fiber composites for monitoring and structural repair of fatigue cracked metal structures [J].
Ahmed, Shafique ;
Thostenson, Erik T. ;
Schumacher, Thomas ;
Doshi, Sagar M. ;
McConnell, Jennifer R. .
COMPOSITE STRUCTURES, 2018, 203 :182-192
[5]   Development of a Novel Integrated Strengthening and Sensing Methodology for Steel Structures Using CNT-Based Composites [J].
Ahmed, Shafique ;
Doshi, Sagar ;
Schumacher, Thomas ;
Thostenson, Erik T. ;
McConnell, Jennifer .
JOURNAL OF STRUCTURAL ENGINEERING, 2017, 143 (04)
[6]   Graphene coated piezo-resistive fabrics for liquid composite molding process monitoring [J].
Ali, Muhammad A. ;
Umer, Rehan ;
Khan, Kamran A. ;
Samad, Yarjan A. ;
Liao, Kin ;
Cantwell, Wesley .
COMPOSITES SCIENCE AND TECHNOLOGY, 2017, 148 :106-114
[7]   Real time monitoring of cure and gelification of a thermoset matrix [J].
Antonucci, V. ;
Giordano, M. ;
Cusano, A. ;
Nasser, J. ;
Nicolais, L. .
COMPOSITES SCIENCE AND TECHNOLOGY, 2006, 66 (16) :3273-3280
[8]   Dielectric monitoring of carbon nanotube network formation in curing thermosetting nanocomposites [J].
Battisti, A. ;
Skordos, A. A. ;
Partridge, I. K. .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2009, 42 (15)
[9]   Flow rate control during vacuum-assisted resin transfer molding (VARTM) processing [J].
Bender, Dominik ;
Schuster, Jens ;
Heider, Dirk .
COMPOSITES SCIENCE AND TECHNOLOGY, 2006, 66 (13) :2265-2271
[10]   Design and application of actively controlled injection schemes for resin-transfer molding [J].
Bickerton, S ;
Stadtfeld, HC ;
Steiner, KV ;
Advani, SG .
COMPOSITES SCIENCE AND TECHNOLOGY, 2001, 61 (11) :1625-1637