Elsevier

Composites Communications

Volume 28, December 2021, 100915
Composites Communications

High-resolution air-coupled laser ultrasound imaging of microstructure and defects in braided CFRP

https://doi.org/10.1016/j.coco.2021.100915Get rights and content

Highlights

  • A hybrid laser-ultrasound(LU) testing system is proposed for braided carbon fiber reinforced polymer (CFRP) in-situ inspection and characterization of microstructure.

  • The hybrid LU testing system retains and combines the advantages of both of the high resolution of the all-optical laser ultrasound configuration and the low cost of the air-coupled ultrasound transducers, and was experimentally validated through detection on a CFRP structure with defects.

  • Inspection can be performed in a completely noncontact, nondestructive, and nonintrusive manner.

Abstract

Defect inspection of braided carbon fiber reinforced polymer (CFRP) is very difficult due to its nonhomogeneity, anisotropy, and sensitivity to coupling agents. This paper presents a hybrid system for detecting microstructure and defects in braided CFRP that combines the advantages of laser-ultrasound and air-coupled ultrasonic testing. Through the finite element method, the ultrasonic field propagating on the braided CFRP was simulated during the laser-induced ultrasound, and the influences of laser parameters and surface braided structure were analyzed on the laser ultrasonic signal. This detection method based on air-coupled laser ultrasound can provide the near-surface microstructure characterization of the resin pockets and braided fiber bundles, and also can achieve both shallow and deep defect detection of CFRP sheets which is comparable to that of the contact-type high-frequency phased array with higher contrast and less distortion. These results indicate that it has the potential to develop a non-contact, high-resolution, and low-cost method for the detection and repairment of advanced composite materials.

Introduction

Carbon fiber reinforced polymer (CFRP) composites have become invaluable structural materials due to their corrosion resistance, fatigue resistance, and high strength [1,2]. However, many defects may be introduced in the manufacturing or during the service such as matrix cracking, delamination and fiber breakage. Incipient small-sized damage can be barely judged from a CFRP structure's appearance, as the later development and accumulation will cause the ultimate destruction of structural performance [3,4]. Therefore, the accurate detection and structure characterization are of great significance to guarantee the safety of CFRP structures [5]. Various advanced non-destructive testing techniques have been developed to identify or evaluate the damage in CFRP, such as ultrasonic testing, thermography, X-ray tomography [[6], [7], [8], [9]], etc. Among them, ultrasonic testing is considered to be one of the most efficient and widespread methods in CFRP damage inspection [10]. However, contact technique or the immersion technique with water requires a contact transducer and matching medium, which significantly reduces the overall inspection efficiency and may cause contamination [[11], [12], [13], [14]]. Infrared thermography technology is a non-contact detection technology with a wide detection range, but its low resolution makes it only able to detect large defects [9,15]. Due to the low density of CFRP materials, the contrast is poor when X-ray inspection is used for defect detection, and the most common defects such as delamination and debonding cannot be distinguished well [16]. The air-coupled ultrasonic inspection technique has shown advantages for composite materials [[17], [18], [19]]. However, the acoustic attenuation is high for high frequencies, which leads to the fact that for such an application low frequencies are to be used. This may lead to a reduction in spatial resolution and a decrease in signal-to-noise ratio.

In recent years, laser ultrasound (LU) technique based on the use of all-optical inspection for ultrasound detection has been developed due to its advantages of long-range detection, high resolution, and rapid detection [[20], [21], [22], [23]]. Optical interference techniques have many advantages such as non-contact, long-range, wide-area and real-time features [24,25]. Kyung et al. used the Pitch-catch method and pulse-echo method to receive laser-induced photoacoustic signals, and realized the detection of internal delamination defects in CFRP [26]. Sun et al. studied the propagation characteristics of laser-generated Lamb waves in multi-layered fiber-reinforced composite plates [27]. Ivan et al. used laser ultrasound to evaluate the damage caused by thermal shock to the CFRP [28]. Patrycja et al. used laser-generated shear acoustic waves to detect debonding in adhesively bonded aluminum plates [21]. Fischer et al. discussed and implemented a novel method based on air-coupled detection of laser-generated ultrasound with a broadband optical microphone [29]. However, the sensitivity of above all-optical techniques are limited by environmental disturbance, the reflected light intensity, and the performance of photodetectors et al. Moreover, the strong optical absorption of carbon fiber will lead to extremely low optical reflection, and the braided structure will result in non-uniformity of light absorption. Meanwhile, their high cost limits to build large-scale applications over the last decades [30].

In this work, a hybrid LU testing system based on a custom-designed ACT is proposed for the microstructure and defects in CFRP materials, which has the properties of being non-contact, high-precision, and low-cost et al. It allows remote scanning of composite materials for inspection without direct contact and eliminates the interference stability problems associated with all-optical techniques [31]. An ultrasonic phased array was conducted to the same sample with high-frequency and low-frequency ultrasound, confirming the performance in the near-surface structure and internal defects of CFRP.

Section snippets

Mesoscale geometry model

To accurately predict the thermodynamic response of braided CFRP, it is necessary to develop a geometric model on the braided structure. The geometry parameters of the representative volume element are determined by the analysis of braided structure with optical microscopy, and the untwisted tow cross-section is close to the narrow lenticular in shape. Fig. 1(a) is the surface texture of the 2D twill braided CFRP composite materials. Position SR1 and SR2 corresponds to the tow bending area and

Experimental setup

An automatic air-coupled LU testing system based on LABVIEW has been proposed in Fig. 2. A Q-switched pulsed laser system (PD-1064-1-KD, POWER LASER) was employed for generating optical-induced ultrasonic in the composites with 1064 nm laser wavelength and 15 ns pulse duration. The diameter of the focal spot is 0.2 mm, and the pulse energy is i n the range of 0–0.76 mJ. Besides, the pulse repetition frequency is in the range of 0–100 kHz. The laser beam is coupled into a single-mode fiber by a

Simulations results

The finite element method is used to simulate the propagation of laser-generated ultrasonic in the braided composites and the interaction with the braided structure [32,33]. During the thermal excitation process, a pulse laser with an energy of 0.36 mJ, a duration of 15 ns, and a diameter of 0.2 mm is simulated by the surface heat flux. The speed of ultrasonic wave propagation in crfp is 2750 m/s. By calculation, the grid size of 20 μm is sufficient to ensure the accuracy of the simulation. The

Conclusions

In conclusion, a small volume, low-cost, air-coupled LU testing system is developed for high-resolution imaging of damage and near-surface microstructure in braided CFRP. Finite element and experimental methods were conducted to investigate the propagation of ultrasonic and the interaction with fiber woven in braided composites. It has been revealed that the wave preferentially propagates in a direction parallel to the axial direction of the tow, and the transmitted energy fluctuates

CRediT authorship contribution statement

Lvming Zeng: Conceptualization, Formal analysis, Methodology, Investigation, Data curation, Writing – original draft. Baoding Wang: Data curation, Formal analysis, Writing – review & editing. Xu Liu: Investigation, Data curation, Formal analysis, Writing – original draft, Software, Validation. Junwei Wu: Investigation, Data curation, Resources. Lijun Deng: Supervision, Software. Maodan Yuan: Funding acquisition, Data curation, Software. Yan Chen: Funding acquisition, Writing – original draft.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This research is supported by Guangdong Province Introduction of Innovation R&D Team (2016ZT06G375), National Key Research and Development Program of China (2018YFB1107703), and National Natural Science Foundation of China (51975131, 11804059, 51805097).

References (33)

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