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Article dans une revue International Journal for Simulation and Multidisciplinary Design Optimization Année : 2017

Neural network computation for the evaluation of process rendering: application to thermally sprayed coatings

Résumé

In this work, neural network computation is attempted to relate alumina and titania phase changes ofa coating microstructure with respect to energetic parameters of atmospheric plasma straying (APS) process.Experimental results were analysed using standard fitting routines and neural computation to quantify the effect ofarc current, hydrogen ratio and total plasma flow rate. For a large parameter domain, phase changes were 10% foralumina and 8% for titania with a significant control of titania phase
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Dates et versions

halshs-02527153, version 1 (01-04-2020)

Licence

Paternité - CC BY 4.0

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Citer

Sofiane Guessasma, David Bassir. Neural network computation for the evaluation of process rendering: application to thermally sprayed coatings. International Journal for Simulation and Multidisciplinary Design Optimization, 2017, 8 (A10), pp.1-8. ⟨10.1051/smdo/2017003⟩. ⟨halshs-02527153⟩
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