In this paper, acoustic emission data fusion based on multiple measurements is presented for damage detection and identification in oxide-based ceramic matrix composites. Multi-AE (acoustic emission) sensor fusion is considered with the aim of a better identification of damage mechanisms. In this context, tensile tests were conducted on ceramic matrix composites, fabricated with 3M™ Nextel™ 610 fibers and aluminosilicate matrix, with two kinds of AE sensors. Redundant and complementary sensor data were merged to enhance AE system capability and reliability. Data fusion led to consistent signal clustering with an unsupervised procedure. A correlation between these clusters and the damage mechanisms was established thanks to in situ observations. The complementarity of the information from both sensors greatly improves the characterization of sources for their classification. Moreover, this complementarity allows features to be perceived more precisely than using only the information from one kind of sensor.
It has been shown that anodic oxidation of copper in alkaline solutions leads to a true passivation due to the formation of a protective layer. The properties of this layer depend on various factors such as current density, structure of the metal, electrolyte concentration and temperature.In all cases investigated in this paper, the primary product of anodic oxidation was cuprous oxide. But this cuprous compound is rapidly oxidised to cupric oxide or hydroxide which are the main constituents of the final film. The formation of cupric oxide is favored by decreasing the current density and raising the temperature. (*) These de doctorat : Bruxelles 1956. (**) Titulaire d'une bourse de spkcialisation de 1'l.R.S.I.A. (1) L. de BROUCKPRE, F. BOUILLON et Y .
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