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Parametric identification algorithm of hydrogen fast permeability model

Authors: Yury Zaika; Natalia Rodchenkova;

Parametric identification algorithm of hydrogen fast permeability model

Abstract

High-purity hydrogen is required for clean energy and a variety of chemical technology processes. Different alloys, which may be well-suited for use in gas-separation plants, were investigated by measuring specific hydrogen permeability. One had to estimate the parameters of diffusion and sorption to numerically model the different scenarios and experimental conditions of the material usage (including extreme ones), and identify the limiting factors. This paper presents a nonlinear model of hydrogen fast permeability in accordance with the specifics of the experiment and parametric identification algorithm. This work is supported by the Russian Foundation for Basic Research (Project No. 15-01-00744).

Keywords

parametric identification, nonlinear boundary-value problems, numerical simulation, Science, Q, hydrogen permeability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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