Fracture analysis of a metal to CFRP hybrid with thermoplastic interlayers for interfacial stress relaxation using in situ thermography

Summa, Jannik; Becker, Michael; Grossmann, Felix; Pohl, M.; Stommel, Markus; Herrmann, Hans–Georg

doi:10.1016/j.compstruct.2018.03.013

Cited by 26 publications

(24 citation statements)

References 29 publications

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“…The sample inspected in this paper is a metal-CFRP-hybrid structure with a thermoplastic layer between CFRP and metal [3]. The metal inlay is a 3mm thick aluminium alloy (EN AW-6082) and is bended to reach a 3D geometry.…”

Section: Inspected Samplementioning

confidence: 99%

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Infrared thermography for defect detection on aluminium-CFRP hybrid 3D structure

Fernandes¹,

Quirin²,

Schwarz³

et al. 2020

Proceedings of the 2020 International Conference on Quantitative InfraRed Thermography

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Section: Inspected Samplementioning

confidence: 99%

“…It is fast, non-contact and does not emit any harmful radiation. This topic has been explored extensively with several papers available in the literature [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Infrared thermography for defect detection on aluminium-CFRP hybrid 3D structure

Fernandes¹,

Quirin²,

Schwarz³

et al. 2020

Proceedings of the 2020 International Conference on Quantitative InfraRed Thermography

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“…Usually they are formed by a matrix and a reinforcement. The combination of these two materials brings improved mechanical properties to the final assembly in terms of stiffness, strength, weight (lightness), high fatigue life flexibility, durability, and economical competitiveness [ 1 , 2 , 3 ]. Today, CM are used in the industry as replacements of other classical materials.…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography

Wei

Fernandes

Herrmann

et al. 2021

Sensors

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Advanced materials such as continuous carbon fiber-reinforced thermoplastic (CFRP) laminates are commonly used in many industries, mainly because of their strength, stiffness to weight ratio, toughness, weldability, and repairability. Structural components working in harsh environments such as satellites are permanently exposed to some sort of damage during their lifetimes. To detect and characterize these damages, non-destructive testing and evaluation techniques are essential tools, especially for composite materials. In this study, artificial intelligence was applied in combination with infrared thermography to detected and segment impact damage on curved laminates that were previously submitted to a severe thermal stress cycles and subsequent ballistic impacts. Segmentation was performed on both mid-wave and long-wave infrared sequences obtained simultaneously during pulsed thermography experiments by means of a deep neural network. A deep neural network was trained for each wavelength. Both networks generated satisfactory results. The model trained with mid-wave images achieved an F1-score of 92.74% and the model trained with long-wave images achieved an F1-score of 87.39%.

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“…Multi-material parts are taken into account to address these demands by varying the material as well as the fabrication process (cf., e.g., [ 3 ]). For example, our recent studies within the DFG-founded research program SPP1712 have shown that a thermoplastic interlayer can improve the mechanical performance in the cyclic loading regime of a hybrid-structure—a metal insert embedded in a carbon fiber-reinforced polymer (CFRP) laminate—(cf., e.g., [ 4 ]). However, the interfaces represent damage-critical areas in the multi-material compound structure.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Adhesion Interface Performance in Aluminum-PLA Joints by Thermographic Monitoring of the Material Extrusion Process

et al. 2020

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Using additive manufacturing to generate a polymer–metal structure offers the potential to achieve a complex customized polymer structure joined to a metal base of high stiffness and strength. A tool to evaluate the generated interface during the process is of fundamental interest, as the sequential deposition of the polymer as well as temperature gradients within the substrate lead to local variations in adhesion depending on the local processing conditions. On preheated aluminum substrates, 0.3 and 0.6 mm high traces of polylactic acid (PLA) were deposited. Based on differential scanning calorimetry (DSC) and rheometry measurements, the substrate temperature was varied in between 150 and 200 °C to identify an optimized manufacturing process. Decreasing the layer height and increasing the substrate temperature promoted wetting and improved the adhesion interface performance as measured in a single lap shear test (up to 7 MPa). Thermographic monitoring was conducted at an angle of 25° with respect to the substrate surface and allowed a thermal evaluation of the process at any position on the substrate. Based on the thermographic information acquired during the first second after extrusion and the preset shape of the polymer trace, the resulting wetting and shear strength were estimated.

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Fracture analysis of a metal to CFRP hybrid with thermoplastic interlayers for interfacial stress relaxation using in situ thermography

Cited by 26 publications

References 29 publications

Infrared thermography for defect detection on aluminium-CFRP hybrid 3D structure

Infrared thermography for defect detection on aluminium-CFRP hybrid 3D structure

A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography

Estimation of the Adhesion Interface Performance in Aluminum-PLA Joints by Thermographic Monitoring of the Material Extrusion Process

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