In this paper we present an extension of a mathematical model for the morphological evolution of metal electrodeposits – recently developed by some of the authors – accounting for mass-transport of electroactive species from the bulk of the bath to the cathode surface. The implementation of mass-transport effects is specially necessary for the quantitative rationalisation of electrodeposition processes from ionic liquids, since these electrolytes exhibit a viscosity that is notably higher than that of cognate aqueous solutions and consequently mass-transport control is active at all practically relevant plating rates. In this work we show that, if mass-transport is coupled to cathodic adsorption of ionic liquid species and surface diffusion of adatoms, it can lead to electrodeposit smoothing. This seemingly paradoxical theoretical result has been validated by a series of Mn electrodeposition experiments from aqueous baths and eutectic ionic liquids. The latter solutions have been shown to be able to form remarkably smoother coatings than the former ones. Mn electroplates have been proposed for Cd replacement and their corrosion protection performance seems comparable, but so far the required surface finish quality has not been achieved with aqueous electrolytes. Ionic liquids thus seem to provide a viable approach to aeronautic-grade Mn electroplating.
Introduced at the end of 60's by NASA, Probability of Detection (PoD) is becoming more and more one of the main approach in order to assess, quantitatively, the general detection capabilities of a Non Destructive Inspection process. In spite of its importance, PoD can be elaborated in a variety of ways and can lead to some misinterpretations.Alenia Aeronautica assessed a specific approach for liquid penetrant inspection that is strictly connected to the estimation of the inspection sensitivity and it can be aimed at various targets, such as: inspection procedure validation, evaluation of personnel proficiency, comparative analysis of penetrant inspection processing materials, equipment and procedures, and evaluation of automated inspection systems. To this purpose, PoD is conceived as the probability, at a fixed confidence level, to detect a discontinuity belonging to a predefined class. Experimental PoD curves are obtained by processing metallic samples with defects generated and developed under controlled conditions.
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