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Article Dans Une Revue Mechanics & Industry Année : 2017

Non-linear mechanical behavior of a sintered material for braking application using digital image correlation

Résumé

Friction materials for braking applications are complex composites made of many 5 components to ensure the various performances required (friction coefficient level, low wear, mechanical strength, thermal resistance, etc.). The material is developed empirically by a trial and error approach. With the solicitation, the material evolves and probably also its properties. In the literature, the mechanical behavior of such materials is generally considered as linear elastic and independent of the 10 loading history. This paper describes a methodology to characterize the mechanical behavior of such a heterogeneous material in order to investigate its nonlinear mechanical behavior. Results from mechanical tests are implemented into material laws for numerical simulations. Thanks to the instrumentation, some links with the mi15 crostructure can also be proposed. The material is made of a metallic matrix embedding graphite and ceramic particles and is manufactured by sintering. It is used for dry friction applications such as high-energy brake for trains, cars and motorcycles. Compression tests are done with digital image correlation (DIC) to mesure full-filled displacement. It 20 allows to calculate strain fields with enough resolution to identify the material heterogeneity and the role of some of the components of the formulation. A behavior model of the material with plasticity and damage is proposed to simulate the nonlinear mechanical behavior and is implemented in an FEM code. Results of mechanical test simulations are compared with two types of experi
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Dates et versions

hal-01736972 , version 1 (19-03-2018)

Identifiants

  • HAL Id : hal-01736972 , version 1

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Ruddy Mann, Vincent Magnier, Itziar Serrano-Munoz, Jean-François Brunel, Florent Brunel, et al.. Non-linear mechanical behavior of a sintered material for braking application using digital image correlation. Mechanics & Industry, 2017. ⟨hal-01736972⟩
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