Carbon-Ceramic Composites for Friction Applications

Manocha, L.M.; Prasad, Guddu; Manocha, S.

doi:10.1080/15376494.2013.834095

Cited by 16 publications

(13 citation statements)

References 15 publications

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“…They comprise also frictional additives, e. g. molykote, copper, silicon carbide, alumina, and fillers, such as barium sulphate and cashew friction dust, nanoclay or carbon nanotubes, distributed in the polymeric matrix [3,4]. The sintered metals, metal alloys, carbon and ceramics are currently the most commonly used for automotive friction materials exploited in extreme operating conditions [5]. A detailed overview of the state of the art in the field of friction composites with an extensive review of papers can be found, e. g. in the work [6].…”

Section: Automotive Friction Compositesmentioning

confidence: 99%

Modeling the thermal decomposition of friction composite systems based on yarn reinforced polymer matrices using artificial neural networks

Kopal

Vršková

Ondrušová

et al. 2019

Materialwissenschaft Werkst

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The presented work deals with the application of artificial neural networks in the modelling of the thermal decomposition process of friction composite systems based on polymer matrices reinforced by yarns. The thermal decomposition of the automotive clutch friction composite system consisting of a polymer blend reinforced by yarns from organic, inorganic and metallic fibres impregnated with resin, as well as its individual components, was monitored by a method of non‐isothermal thermogravimetry over a wide temperature range. A supervised feed‐forward back‐propagation multi‐layer artificial neural network model, with temperature as the only input parameter, has been developed to predict the thermogravimetric curves of weight loss and time derivative of weight loss of studied friction composite system and its individual components acquired at a fixed constant heating rate under a pure dry nitrogen atmosphere at a constant flow rate. It has been proven that an optimized model with a 1‐25‐6 architecture of an artificial neural network trained by a Levenberg‐Marquardt algorithm is able to predict simultaneously all the analyzed experimental thermogravimetric curves with a high level of reliability and that it thus represents the highly effective artificial intelligence tool for the modelling of thermal stability also of relatively complicated friction composite systems.

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Section: Automotive Friction Compositesmentioning

confidence: 99%

Modeling the thermal decomposition of friction composite systems based on yarn reinforced polymer matrices using artificial neural networks

Kopal

Vršková

Ondrušová

et al. 2019

Materialwissenschaft Werkst

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“…It is gradually becoming the ideal candidate for various structure materials in aeronautics and astronautics [1][2][3][4][5]. It is assumed that this trend will continue in the future.…”

Section: Introductionmentioning

confidence: 97%

Two-dimensional evaluation of 3D needled C f /SiC composite fiber bundle surface

Wei

Lin

Cao

et al. 2015

Applied Surface Science

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“…Previous works have demonstrated that fibre size, ratio, arrangement and fibre matrix adhesion play a signiﬁcant role in the mechanical behavior (stiffness, strength, failure strain and energy storage capacity) and have a major impact on the braking performances of several fibre-reinforced composites. 4–7 However, these studies did not focus on the link between microstructural characteristics induced by synergistic effects between fibres and the other constituents and the resulting properties and performances.…”

Section: Introductionmentioning

confidence: 99%

Synergistic effects of fibre arrangements on the microstructure and properties of organic composite materials

Makni

Cristol

Kchaou

et al. 2020

Journal of Composite Materials

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The arrangement of the constituents of organic-composite friction materials is a key factor of their microstructure and thermal and mechanical properties which can influence braking performance. Among these constituents, fibres can present complex morphologies and different arrangements depending on their type and the process of manufacturing. Besides, synergistic effects acting between these constituents and the resulting properties are still not well investigated. This work relates to rock- wool used for brake friction materials, and for which the process can lead to various arrangements. The focus is on synergies between these fibre arrangements and the other material constituents, in ways that reveals the link between the resulting microstructural characteristics and properties of organic composite materials. To achieve these objectives, two simplified formulations are elaborated with two distinct arrangements of rock wool fibres. The friction materials are investigated in terms of microstructure, thermo-physical and mechanical properties. It is found that fibre arrangements affect carbonaceous particle distribution, porosity, and fibre-matrix adhesion. On one side, homogeneous distribution and regular size of fibre bundles results in a better connectedness of conductive particles and thus enhances thermal conductivity. On the other side, a regular fibre bundles repartition lead to a more homogeneous distribution of strain localizations and a softer mechanical response.

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Carbon-Ceramic Composites for Friction Applications

Cited by 16 publications

References 15 publications

Modeling the thermal decomposition of friction composite systems based on yarn reinforced polymer matrices using artificial neural networks

Modeling the thermal decomposition of friction composite systems based on yarn reinforced polymer matrices using artificial neural networks

Two-dimensional evaluation of 3D needled C f /SiC composite fiber bundle surface

Synergistic effects of fibre arrangements on the microstructure and properties of organic composite materials

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