Literature DB >> 34029834

Cure monitoring and damage identification of CFRP using embedded piezoelectric sensors network.

Xiao Liu1, Jun Li1, Jianjian Zhu1, Yishou Wang1, Xinlin Qing2.   

Abstract

Because of the advantages of high specific strength and high specific stiffness, carbon fiber reinforced plastics (CFRP) have been the most ideal materials in the field of civil aviation. Cure monitoring in manufacturing process and damage identification in service stage of CFRP are always hot topics. The Semi-Analytical Finite Element (SAFE) method and micromechanical model are employed to analyse the propagation characteristics of the Lamb-like waves in a continuous flat aluminium plate attached to a viscoelastic unidirectional CFRP in semi-infinite half-space. Then the vacuum bag moulding process of prepregs is monitored using Fiber Bragg Grating (FBG) and piezoelectric sensors encapsulated in Stanford Multiactuator-Receiver Transduction (SMART) Layer. The calculated energy velocities and attenuations of guided waves show the same trends with the numerical results while curing. After the CFRP is demoulded, the damage identification experiments are carried out. By continuing to use the sensor network embedded in the manufacturing phase, the artificial damages can be precisely located. The results demonstrated that the life-cycle monitoring of CFRP can be achieved effectively by the piezoelectric sensors network.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon fiber reinforced plastics; Cure monitoring; Damage identification; Life-cycle monitoring; Semi-analytical finite element

Year:  2021        PMID: 34029834     DOI: 10.1016/j.ultras.2021.106470

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  1 in total

1.  Real-Time Life-Cycle Monitoring of Composite Structures Using Piezoelectric-Fiber Hybrid Sensor Network.

Authors:  Yinghong Yu; Xiao Liu; Jiajia Yan; Yishou Wang; Xinlin Qing
Journal:  Sensors (Basel)       Date:  2021-12-08       Impact factor: 3.576

  1 in total

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