A review on the use of thermoplastic composites and their effects in induction welding method

Banik, Nabanita

doi:10.1016/j.matpr.2018.06.395

Cited by 21 publications

(8 citation statements)

References 2 publications

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“…• Thermosets: The main characteristic of this type of matrix is that they cannot return to their original state after being heated [8]. • Thermoplastics: is a polymer that can be softened in temperature processing but returns to the solid state once completed [55]. • Biobases: they are bio-based polymers, that is, they are biodegradable, and can be thermostable or thermoplastic [56].…”

Section: Matrix Compositesmentioning

confidence: 99%

Composite materials reinforced with fique fibers – a review

Gómez-Suarez

Córdoba-Tuta

2022

Revista UIS Ingenierías

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Fique is a fiber of South American origin that has adequate properties to be used as reinforcement in composite materials, recently there have been various research for the development of composite materials with this fiber type. This article compiles different studies into composite materials reinforced with fique fiber. Initially discussed the issues related to the properties and treatments most commonly used to fiber to improve their quality and adhesion, then the types of matrix and the main manufacturing techniques that have been used for the manufacture of composites reinforced with fique fiber are described, followed by the different tests and characterization tests that have been applied to them to know their main properties and finally, their applications and the use of micromechanical models to describe them.

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Section: Matrix Compositesmentioning

confidence: 99%

Composite materials reinforced with fique fibers – a review

Gómez-Suarez

Córdoba-Tuta

2022

Revista UIS Ingenierías

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“…By minimizing the loss value, the model is optimized to make the predicted temperature values to be as close to the ground-truth temperature values as possible based on induction welding parameters. + max − + max ( − ), [5] where and are the predicted temperature values and ground truth temperature values, respectively, and % ∈ , % ∈ .…”

Section: Loss Functionsmentioning

confidence: 99%

Process Modelling of Induction Welding for Thermoplastic Composite Materials By Neural Networks

Guo¹,

Pandher²,

Tooren³

et al. 2019

SAMPE 2019 - Charlotte, NC

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Induction welding for thermoplastic composite materials uses an alternating current flowing through a coil to induce an electromagnetic field and generate eddy current inside laminate with various fiber orientations-the generated heat causes the laminate to heat up and melt the polymer. As a pressure is applied to the induction heating zones, cohesive bonding may occur during the melting of the polymer. The welding quality of the composite materials is highly influenced by the temperature varying inside the heating zones. Thus, it is beneficial for induction welding if temperature varying during heating can be acquired given a set of welding parameters, such as current, pressure, fiber orientations, etc. Conducting practical induction heating experiments for this purpose is laborious and time consuming given the large varying space of welding parameters. In this paper, we propose to address this problem by using machine learning techniques to model the relation between the welding parameters and the temperature varying inside the heating zones. We conduct two sets of induction heating experiments for laminate welding and the collected sample temperature varying data are used to train the neural networks with input of welding parameters and output of the predicted temperature varying. Testing of the models demonstrates that process modeling of induction welding with machine learning techniques is viable.

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“…It is also important to note that these matrices have high toxicity, high cost [ 1 ] and very low production rates (long molding and curing times). In addition to the problem of sustainability and cost-effectiveness, thermoset composites have very little ability to integrate with other elements to create more complex and functional components through the traditional welding process [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Star-Branched Polyamides as the Matrix in Thermoplastic Composites

et al. 2022

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The aim of this study is the preparation of star-shaped branched polyamides (sPA6) with low melt viscosity, but also with improved mechanical properties by reactive extrusion. This configuration has been obtained by grafting a tri-functional, three-armed molecule: 5-aminoisophthalic-acid, used as a linking agent (LA). The balance between the fluidity, polarity and mechanical properties of sPA6s is the reason why these materials have been investigated for the impregnation of fabrics in the manufacture of thermoplastic composites. For these impregnation processes, the low viscosity of the melt has allowed the processing parameters (temperature, pressure and time) to be reduced, and its new microstructure has allowed the mechanical properties of virgin thermoplastic resins to be maintained. A significant improvement in the ultrasonic welding processes of the composites was also found when an energy director based on these materials was applied at the interface. In this work, an exhaustive microstructural characterization of the obtained sPAs is presented and related to the final properties of the composites obtained by film stacking.

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A review on the use of thermoplastic composites and their effects in induction welding method

Cited by 21 publications

References 2 publications

Composite materials reinforced with fique fibers – a review

Composite materials reinforced with fique fibers – a review

Process Modelling of Induction Welding for Thermoplastic Composite Materials By Neural Networks

Star-Branched Polyamides as the Matrix in Thermoplastic Composites

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