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

Autor:	Guessasma Sofiane, Bassir David
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Artificial neural network Statistical analysis Process engineering Industrial engineering. Management engineering T55.4-60.8 Industrial directories T11.95-12.5
Zdroj:	International Journal for Simulation and Multidisciplinary Design Optimization, Vol 8, p A10 (2017)
Druh dokumentu:	article
ISSN:	1779-627X 1779-6288
DOI:	10.1051/smdo/2017003
Popis:	In this work, neural network computation is attempted to relate alumina and titania phase changes of a 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 of arc current, hydrogen ratio and total plasma flow rate. For a large parameter domain, phase changes were 10% for alumina and 8% for titania with a significant control of titania phase.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/7d0c866efae0492d92991830a7111e5d Zobrazit plný text záznamu View record in DOAJ