TY - GEN
T1 - Planar array capacitive imaging for characterizing subsurface composite damage
AU - Gupta, Sumit
AU - Kim, Hyung
AU - Lee, Han Joo
AU - Kim, Hyonny
AU - Loh, Kenneth J.
N1 - Publisher Copyright:
© International Workshop on Structural Health Monitoring. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Despite the advantages and increasing prevalence of composite use in aerospace structures, they are susceptible to unique damage modes such as cracks, delamination, and manufacturing defects, which are fundamentally very different than those that occur in metals. In particular, subsurface damage can be hidden from plain sight and lead to catastrophic structural failure if left undetected. Thus, this study aims to develop a noncontact, nondestructive inspection technique (NDI) for rapid and in situ subsurface damage assessment of composites. The proposed technique works on the principle of electrical capacitance tomography (ECT). Unlike conventional ECT systems, electrodes were designed and arranged to form a planar array. By propagating electric fields in the volumetric region above the electrode plane and measuring mutual capacitances between electrodes, the volumetric permittivity distribution of the interrogated region could be determined. First, a custom electrode array was built, and different objects were interrogated for validation. The changes in electrical permittivity distributions (and their corresponding locations) due to the presence of these objects were successfully detected. Second, subsurface damage, such as voids, were introduced in 3D-printed test specimens, which were also successfully characterized by the planar ECT system. Last, a carbon fiber-reinforced polymer composite (CFRP) specimen was fabricated and then subjected to impact to introduce subsurface delamination. The specimen was imaged using planar ECT, and the reconstructed permittivity distribution was compared with C-scan images. The results showed that the proposed system was able to detect the location and extent of impact-induced delamination in CFRP panels, thereby demonstrating its potential as a viable NDI technique.
AB - Despite the advantages and increasing prevalence of composite use in aerospace structures, they are susceptible to unique damage modes such as cracks, delamination, and manufacturing defects, which are fundamentally very different than those that occur in metals. In particular, subsurface damage can be hidden from plain sight and lead to catastrophic structural failure if left undetected. Thus, this study aims to develop a noncontact, nondestructive inspection technique (NDI) for rapid and in situ subsurface damage assessment of composites. The proposed technique works on the principle of electrical capacitance tomography (ECT). Unlike conventional ECT systems, electrodes were designed and arranged to form a planar array. By propagating electric fields in the volumetric region above the electrode plane and measuring mutual capacitances between electrodes, the volumetric permittivity distribution of the interrogated region could be determined. First, a custom electrode array was built, and different objects were interrogated for validation. The changes in electrical permittivity distributions (and their corresponding locations) due to the presence of these objects were successfully detected. Second, subsurface damage, such as voids, were introduced in 3D-printed test specimens, which were also successfully characterized by the planar ECT system. Last, a carbon fiber-reinforced polymer composite (CFRP) specimen was fabricated and then subjected to impact to introduce subsurface delamination. The specimen was imaged using planar ECT, and the reconstructed permittivity distribution was compared with C-scan images. The results showed that the proposed system was able to detect the location and extent of impact-induced delamination in CFRP panels, thereby demonstrating its potential as a viable NDI technique.
UR - http://www.scopus.com/inward/record.url?scp=85074389661&partnerID=8YFLogxK
U2 - 10.12783/shm2019/32240
DO - 10.12783/shm2019/32240
M3 - Conference contribution
AN - SCOPUS:85074389661
T3 - Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
SP - 1234
EP - 1241
BT - Structural Health Monitoring 2019
A2 - Chang, Fu-Kuo
A2 - Guemes, Alfredo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications Inc.
T2 - 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Y2 - 10 September 2019 through 12 September 2019
ER -