Modelling of discrete TDS-spectrum of hydrogen desorption

17th Russian Youth Conference on Physics and Astronomy

物理学;天文学

Rodchenkova, Natalia I.^1 ; Zaika, Yury V.^1

Institute of Applied Mathematical Research, Karelian Research Centre, Russian Academy of Sciences, Pushkinskaya Street 11, Petrozavodsk, Russia^1

关键词: Dynamic boundary conditions;    External temperature;    Hydrogen concentration;    Hydrogen desorption;    Hydrogen in metals;    Mathematical modelling and simulation;    Physical-chemical process;    Thermal desorption spectroscopies (TDS);   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/661/1/012026/pdf
DOI  :  10.1088/1742-6596/661/1/012026

学科分类：天文学(综合)

来源: IOP

【 摘 要 】

High concentration of hydrogen in metal leads to hydrogen embrittlement. One of the methods to evaluate the hydrogen content is the method of thermal desorption spectroscopy (TDS). As the sample is heated under vacuumization, atomic hydrogen diffuses inside the bulk and is desorbed from the surface in the molecular form. The extraction curve (measured by a mass-spectrometric analyzer) is recorded. In experiments with monotonous external heating it is observed that background hydrogen fluxes from the extractor walls and fluxes from the sample cannot be reliably distinguished. Thus, the extraction curve is doubtful. Therefore, in this case experimenters use discrete TDS-spectrum: the sample is removed from the analytical part of the device for the specified time interval, and external temperature is then increased stepwise. The paper is devoted to the mathematical modelling and simulation of experimental studies. In the corresponding boundary-value problem with nonlinear dynamic boundary conditions physical- chemical processes in the bulk and on the surface are taken into account: heating of the sample, diffusion in the bulk, hydrogen capture by defects, penetration from the bulk to the surface and desorption. The model aimed to analyze the dynamics of hydrogen concentrations without preliminary artificial sample saturation. Numerical modelling allows to choose the point on the extraction curve that corresponds to the initial quantity of the surface hydrogen, to estimate the values of the activation energies of diffusion, desorption, parameters of reversible capture and hydride phase decomposition.