Analysis of Progressive Tensile Damage of Multi-walled Carbon Nanotube Reinforced Carbon Fiber Composites by Using Acoustic Emission and Micro-CT

Pei, Ning; Shang, Jing; Bond, Leonard J.

doi:10.1007/s10921-021-00780-y

Cited by 12 publications

(16 citation statements)

References 29 publications

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“…This study is an extension and continuation of previously published work [1] in which the effects of off-axis structure were studied for MWCNTs reinforced composites. Carbon fabric-reinforced polymer (CFRP) composites have been widely used in many fields [2][3][4].…”

Section: Introductionmentioning

confidence: 60%

“…Two types of CFRP specimens with 10 layers of orthogonal plain-weave carbon fiber were prepared, specimen B was prepared with MWCNTs while specimen A without MWC-NTs was used as a reference. For the preparation process, the specimen A is the same as in [1], while the specimen B is the same except that an appropriate amount of acetone and MWCNTs with 0.5wt% of epoxy resin [9] were added to the beaker and uniformly mixed with the epoxy resin during the manufacturing process. The CFRP laminates, with a thickness (T) of 2.5 ± 0.1 mm, were when cut into specimens with a size of 100 mm (Length) × 25 mm (Width), the same size as used previously [1].…”

Section: Specimen and Methodsmentioning

confidence: 99%

“…The tensile tests for the composite specimens were performed with the same parameters and experimental system as in the previous study [1]. AE signals were collected during the whole loading process, then the signals were analyzed by using the cluster analysis methods based on the FCM algorithm.…”

Section: Specimen and Methodsmentioning

confidence: 99%

“…In this study the amplitude, peak frequency (PF), and RA value, that is the rise time divided by peak amplitude, were selected for cluster analysis based on the FCM algorithm [1,15], and amplitude and PF, were selected to analyze the AE signals [1,15]. Since common laminate composite damage usually includes three types: matrix cracking, fiber debonding, and fiber breaking, the cluster number for AE signals was chosen to be three.…”

Section: Cluster Analysis For Ae Signalsmentioning

confidence: 99%

“…In this present study, the detailed influence of MWCNTs on laminate composites during progressive damage are considered by using the same methods as those reported in an the earlier paper [1]. Progressive tensile tests of composites both with and without MWCNTs were monitored using AE technology, with cluster analysis based on a FCM algorithm used to analyze AE signals during a tensile process.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Investigation of the Influence of Multi-Walled Carbon Nanotubes on Laminate Composites During Progressive Tensile Damage Using Acoustic Emission

et al. 2021

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Progressive tensile damage for carbon fiber composites both containing and without multi-walled carbon nanotubes (MWC-NTs) is discussed and this work is an extension of a previously published study. The composite specimens were subjected to progressive tensile experiments, and AE signals were collected during loading. The signals were post-processed using cluster analysis based on the Fuzzy C-Means algorithm. The results show that AE signals can be divided into three classes, corresponding to three damage modes: matrix cracking, fiber debonding, and fiber breakage. The AE peak frequency characteristics of each damage mode were found. Samples were also characterized using micro-computed tomography (Micro-CT) imaging and the observed damage shows good correlation with AE signal characterization for defect class prediction. Analyzing the data clusters it can be found that MWCNTs can delay and in some cases prevent both matrix cracking and fiber debonding in laminate composites. It was found that matrix cracking, debonding and fiber break AE signals for composites with CNTs correspond to a higher frequency range than that without CNTs. The results give guidance for composite design when considering MWCNTs and structure health monitoring of these composite materials.

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Section: Introductionmentioning

confidence: 60%

Section: Specimen and Methodsmentioning

confidence: 99%

Section: Specimen and Methodsmentioning

confidence: 99%

Section: Cluster Analysis For Ae Signalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of the Influence of Multi-Walled Carbon Nanotubes on Laminate Composites During Progressive Tensile Damage Using Acoustic Emission

et al. 2021

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Features of acoustic emission and micro‐CT of 3D‐printed continuous Kevlar fiber‐reinforced composites during progressive damage under flexural load

Liu

Wang

Song

et al. 2022

J of Applied Polymer Sci

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Failure mechanism and its characterization methods of 3D‐printed fiber‐reinforced composites are still needed thorough investigation. In this work, typical 3D‐printed composites reinforced with 10% and 20% continuous Kevlar fiber are prepared, respectively, three point bending progressive damage experiments are carried out, and the damage evolution are real‐time monitored by acoustic emission (AE) technology. When load reaches the maximum value and failure point, microcomputed tomography (micro‐CT) observations are performed for loaded specimens to explore inside damages. Results show that bending strength of Specimen B (20% fiber) increases by 23% relative to Specimen A (10% fiber). Cumulative count and energy of AE signals are higher for Specimen B, and K‐means clustering algorithm is employed for deep analysis of AE signals. Three damage modes including matrix crack, fiber/matrix debonding, and fiber fracture are clustered and validated by micro‐CT, indicating that the combination of AE and micro‐CT is effective for the characterization of damage evolution of composites. Debonding due to poor adhesion between fiber and matrix is the main damage mode of 3D‐printed Kevlar fiber‐reinforced composites, and damages of Specimen B concentrated in the later stage. This work provides failure characterization methods for 3D‐printed fiber‐reinforced composites.

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Structural health monitoring of carbon fiber-reinforced laminate composites with torsional loads by using acoustic emission

Pei

2022

J Mater Sci

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Analysis of Progressive Tensile Damage of Multi-walled Carbon Nanotube Reinforced Carbon Fiber Composites by Using Acoustic Emission and Micro-CT

Cited by 12 publications

References 29 publications

Investigation of the Influence of Multi-Walled Carbon Nanotubes on Laminate Composites During Progressive Tensile Damage Using Acoustic Emission

Investigation of the Influence of Multi-Walled Carbon Nanotubes on Laminate Composites During Progressive Tensile Damage Using Acoustic Emission

Features of acoustic emission and micro‐CT of 3D‐printed continuous Kevlar fiber‐reinforced composites during progressive damage under flexural load

Structural health monitoring of carbon fiber-reinforced laminate composites with torsional loads by using acoustic emission

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