4.6 Article

Impact localization of composite laminates based on four points localization algorithm of MXene/CNT sensors

Journal

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00339-022-06025-7

Keywords

Impact area location; Thin film sensor; Sensor array; Localization algorithm

Funding

  1. National Natural Science Foundation of China [11902204]
  2. Liaoning Revitalization Talents Program [XLYC2007118]
  3. Aeronautical Science Foundation [201903054001]
  4. Natural Science Foundation of Liaoning Province [2020-MS-236, 2019010256-JH3/301]
  5. Shenyang Youth Technological Innovation Talent Project [RC200030, RC190004]

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This study investigates the monitoring of damage areas in composite laminates using carbon nanotubes and MXene films. By utilizing sensor arrays and a localization algorithm, the impact position can be accurately calculated and located, allowing for timely detection of damage and prevention of structural failure.
Composite laminates are susceptible to impact damage during service, and some damage is invisible. So it is necessary to monitor the impact location on the surface of composite laminates. Novel carbon nanomaterials represented by carbon nanotubes and MXene films have unique nanoscale structures and excellent physical properties. Applying the carbon nanotubes (CNT) and MXene films to monitoring the damage area of composite laminates under impact. Laying sensor arrays within the monitoring range, a localization algorithm suitable for sensor arrays is proposed, which can accurately calculate and locate the impact position to the monitoring area. Then check the impact location area, detect damage in time, and avoid structural damage or even failure caused by accumulated damage. After the impact test, the sum of the resistance change rate of the sensor in the M-5 area is 0.6030, which is higher than the sum of the resistance change rate of other areas, and the impact point is determined to be in the M-5 area. The calculation results are completely consistent with the real impact area, which greatly improves the efficiency of detection and maintenance, and has certain engineering significance.

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