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Multiscale modelling of morphological evolution of rough surface duringsuperficial, volume and evaporation-condensation diffusions

Article dans une revue avec comité de lecture
Auteur
BIGERELLE, Maxence
FAVERGEON, J.
MATHIA, Thomas
698 Laboratoire de Tribologie et Dynamique des Systèmes [LTDS]
IOST, Alain

URI
http://hdl.handle.net/10985/9730
DOI
10.4028/www.scientific.net/DDF.323-325.101
Date
2012
Journal
Defect and Diffusion Forum

Résumé

Fractal functions are used to model a metallic interface. An analytical model described by three partial differential equations is built to model time evolution of the surface during heating including three different mechanisms of diffusion: superficial diffusion (SD), volume diffusion (VD) and diffusion by evaporation-condensation (DEC). Initial topographies are modeled by Stochastic Weierstraβ functions because of their ability to reproduce experimental roughness profiles. Applied to an aluminum alloy at 550°C, a high number of roughness parameters and their variance are calculated. A classification method shows that the best geometrical approach that discriminates heat effect is the fractal dimension. The most popular parameter, Ra, badly discriminates processes (classification number = 58). The four order spectral moments of the roughness profile are correlated with the evolution of profile. It is shown theoretically that the superficial diffusion depends directly to the fourth spectral moment of the roughness profile.

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  • Laboratoire Mechanics, Surfaces and Materials Processing (MSMP)

Documents liés

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  • An expert system to characterise the surfaces morphological properties according to their tribological functionalities: The relevance of a pair of roughness parameters 
    Article dans une revue avec comité de lecture
    BIGERELLE, Maxence; NAJJAR, Denis; MATHIA, Thomas; IOST, Alain; ANSELME, Karine; ccCOOREVITS, Thierry (Elsevier, 2013)
    Knowing that a surface or profile can be characterized by numerous roughness parameters, the objective of this investigation was to present a methodology which aims to determine quantitatively and without preconceived ...
  • An expert system to characterize the surface morphological properties according to their functionalities 
    Communication avec acte
    BIGERELLE, Maxence; MATHIA, Thomas; IOST, Alain; ANSELME, Karine; ccCOOREVITS, Thierry (IOP Publishing, 2011)
    In this paper we propose a new methodology to characterize the morphological properties of a surface in relation with its functionality (tribological properties, surface coating adhesion, brightness, wettability…). We ...
  • An expert system to characterise the surfaces morphological properties according to their tribological functionalities: The relevance of a pair of roughness parameters 
    Article dans une revue avec comité de lecture
    BIGERELLE, Maxence; NAJJAR, D.; MATHIA, Thomas; IOST, Alain; ANSELME, Karine; ccCOOREVITS, Thierry (Elsevier, 2013)
    Knowing that a surface or profile can be characterized by numerous roughness parameters, the objective of this investigation was to present a methodology which aims to determine quantitatively and without preconceived ...
  • A multi-scale approach of roughness measurements: Evaluation of the relevant scale 
    Article dans une revue avec comité de lecture
    VAN GORP, Adrien; BIGERELLE, Maxence; GRELLIER, Alain; IOST, Alain; NAJJAR, Denis (Elsevier, 2007)
    This paper proposes a new multi-scale measurement approach performed to compare the surface roughness and the visual aspect of polished surfaces. In this investigation, five specimens of glass moulds presenting different ...
  • Scratch tests to contribute designing performance maps of multilayer polymeric coatings 
    Article dans une revue avec comité de lecture
    RUDERMANN, Yann; IOST, Alain; BIGERELLE, Maxence (Elsevier, 2011)
    The scratching technique has gained interest in recent times because of the numerous inherent properties implied (adherence, hardness, elasticity, visco-elasticity, cohesion, etc.) during tests. Some singular mechanical ...

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