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TMF criteria for Lost Foam Casting aluminum alloys

Authors

  • S. TABIBIAN,

    1. Automotive Research and Innovation Division, PSA Peugeot Citroën Route de Gisy, Vélizy-Villacoublay 78943, France
    2. LML CNRS UMR 8107, Laboratoire Mécanique de Lille, Ecole Centrale de Lille, Cité Scientifique 59650 Villeneuve d’Ascq, France
    3. LMS CNRS UMR 7649, Laboratoire Mécanique Solides, Ecole Polytechnique, Route Saclay, 91120 - Palaiseau, France
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  • E. CHARKALUK,

    1. LML CNRS UMR 8107, Laboratoire Mécanique de Lille, Ecole Centrale de Lille, Cité Scientifique 59650 Villeneuve d’Ascq, France
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  • A. CONSTANTINESCU,

    1. LMS CNRS UMR 7649, Laboratoire Mécanique Solides, Ecole Polytechnique, Route Saclay, 91120 - Palaiseau, France
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  • F. SZMYTKA,

    1. Automotive Research and Innovation Division, PSA Peugeot Citroën Route de Gisy, Vélizy-Villacoublay 78943, France
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  • A. OUDIN

    1. Automotive Research and Innovation Division, PSA Peugeot Citroën Route de Gisy, Vélizy-Villacoublay 78943, France
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Eric Charkaluk. E-mail: eric.charkaluk@ec-lille.fr

ABSTRACT

The purpose of this paper is to define a thermo-mechanical fatigue criterion in order to predict the failure of aluminum alloys components issued with the lost foam casting process and used in particular in the automotive industry. The microstructure of the studied materials (A356–A319 aluminum alloys) is clearly affected by the lost foam casting process which can directly affect the mechanical properties, the damage mechanisms and the fatigue failure of specimens and components. The major problem in defining a predictive fatigue criterion in this case is the fact that it should be applicable for the component which is submitted to complex multiaxial thermo-mechanical loadings. Since many years, energy-based criteria have been used to predict fatigue failure of this class of materials. Then, different energy-based criteria are tested in order to take into account different types of triaxiality and mean stress effects corrections. The fatigue lifetime results predicted by both of them show a good agreement with experimental results.

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