On the Methodology of Thermal Desorption Spectroscopy to Evaluate Hydrogen Embrittlement

2012 ◽  
Vol 706-709 ◽  
pp. 2354-2359 ◽  
Author(s):  
Diana Pérez Escobar ◽  
Kim Verbeken ◽  
Lode Duprez ◽  
Marc Verhaege
Keyword(s):  
Hydrogen Embrittlement ◽  
Thermal Desorption ◽  
Surface Preparation ◽  
Thermal Desorption Spectroscopy ◽  
Sample Surface ◽  
Hydrogen Desorption ◽  
Sample Geometry ◽  
Metal Interactions ◽  
Charging Time ◽  
The Impact

Thermal desorption spectroscopy (TDS) is a very important tool in hydrogen embrittlement (HE) related research and has been applied on many different materials over the last decades in order to improve knowledge on the HE phenomenon. TDS provides the opportunity to distinguish between different types of hydrogen traps based on the analysis of a spectrum with different peak temperatures each corresponding to hydrogen desorption from a specific trap. These peak temperatures, and consequently the different traps in a material, arise from the various microstructural characteristics of the material. However, TDS results are also influenced by many other parameters, such as the sample surface preparation, the electrolytes used for hydrogen charging, sample geometry, charging time, current density, charging temperature. Even though the use of thermal desorption to evaluate hydrogen-metal interactions has increased over the past years, a careful evaluation of the effect of these other parameters was not yet performed. In this work, the impact of some of the above mentioned parameters was studied. It was demonstrated that the sample geometry, the surface roughness, and the initial total pressure of the TDS chamber influenced significantly the obtained TDS spectrum.

The Role of Cr in H Desorption Kinetics in Rapidly Solidified Al

2014 ◽  
Vol 783-786 ◽  
pp. 264-269 ◽  
Author(s):  
Iya I. Tashlykova-Bushkevich ◽  
Keitaro Horikawa ◽  
Goroh Itoh
Keyword(s):  
High Temperature ◽  
Thermal Desorption ◽  
High Purity ◽  
Thermal Desorption Spectroscopy ◽  
Secondary Phase ◽  
Hydrogen Desorption ◽  
Oxide Surface ◽  
Desorption Kinetics ◽  
Hydrogen Trapping ◽  
Rapidly Solidified

Hydrogen desorption kinetics for rapidly solidified high purity Al and Al-Cr alloy foils containing 1.0, 1.5 and 3.0 at % Cr were investigated by means of thermal desorption analysis (TDA) at a heating rate of 3.3°C/min. For the first time, it was found that oxide inclusions of Al2O3 are dominant high-temperature hydrogen traps compared with pores and secondary phase precipitates resulted in rapid solidification of Al and its alloys. The correspondent high-temperature evolution rate peak was identified to be positioned at 600°C for high purity Al and shifted to 630°C for Al-Cr alloys. Amount of hydrogen trapped by dislocations increases in the alloys depending on Cr content. Microstructural hydrogen trapping behaviour in low-and intermediate temperature regions observed here was in coincidence with previous data obtained for RS materials using thermal desorption spectroscopy (TDS). The present results on hydrogen thermal desorption evolution indicate that the effect of oxide surface layers becomes remarkable in TDA measurements and show advantages in combinations of both desorption analysis methods to investigate hydrogen desorption kinetics in materials.

scholarly journals Crystal structure change in multilayer GeH flakes by hydrogen desorption under ultrahigh vacuum environments

2021 ◽  
Author(s):  
Mai Itoh ◽  
Masaaki ARAIDAI ◽  
Akio OHTA ◽  
Osamu Nakatsuka ◽  
Masashi Kurosawa
Keyword(s):  
Crystal Structure ◽  
Mass Loss ◽  
Thermal Desorption ◽  
Ultrahigh Vacuum ◽  
Thermal Desorption Spectroscopy ◽  
Hydrogen Desorption ◽  
Structure Change ◽  
Spectroscopy Analysis ◽  
Free Standing ◽  
Short Time

Abstract To confirm the feasibility of the theoretically proposed method of forming free-standing germanene [Araidai et al., J. Appl. Phys. 128, 125301 (2020).], we have experimentally investigated hydrogen desorption properties from the hydrogen-terminated germanane (GeH) flakes. Thermal desorption spectroscopy analysis revealed that hydrogen desorption occurred during the heating under an ultrahigh vacuum environment, corresponding to mass loss of 1.0 wt%. Moreover, we have found that using an ultrahigh vacuum ambient and short-time annealing for hydrogen desorption is a key to sustain the crystal structures.

scholarly journals Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network

2020 ◽  
Vol 32 (18) ◽  
pp. 14995-15006 ◽  
Author(s):  
Evgenii Malitckii ◽  
Eric Fangnon ◽  
Pedro Vilaça
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Hydrogen Embrittlement ◽  
Thermal Desorption ◽  
Thermal Desorption Spectroscopy ◽  
Coupled System ◽  
Computing System ◽  
Ann Model ◽  
Ann Models ◽  
Artificial Neural

Abstract Steels are the most used structural material in the world, and hydrogen content and localization within the microstructure play an important role in its properties, namely inducing some level of embrittlement. The characterization of the steels susceptibility to hydrogen embrittlement (HE) is a complex task requiring always a broad and multidisciplinary approach. The target of the present work is to introduce the artificial neural network (ANN) computing system to predict the hydrogen-induced mechanical properties degradation using the hydrogen thermal desorption spectroscopy (TDS) data of the studied steel. Hydrogen sensitivity parameter (HSP) calculated from the reduction of elongation to fracture caused by hydrogen was linked to the corresponding hydrogen thermal desorption spectra measured for austenitic, ferritic, and ferritic-martensitic steel grades. Correlation between the TDS input data and HSP output data was studied using two ANN models. A correlation of 98% was obtained between the experimentally measured HSP values and HSP values predicted using the developed densely connected layers ANN model. The performance of the developed ANN models is good even for never-before-seen steels. The ANN-coupled system based on the TDS is a powerful tool in steels characterization especially in the analysis of the steels susceptibility to HE.

ADSORPTION DYNAMICS OFCO2ON HYDROGEN PRECOVEREDZn-ZnO(0001): A MOLECULAR BEAM STUDY

2004 ◽  
Vol 11 (06) ◽  
pp. 521-529 ◽  
Author(s):  
J. WANG ◽  
U. BURGHAUS
Keyword(s):  
Monte Carlo ◽  
Binding Energy ◽  
Thermal Desorption ◽  
Impact Energy ◽  
Atomic Hydrogen ◽  
Molecular Beam ◽  
Thermal Desorption Spectroscopy ◽  
Adsorption Dynamics ◽  
Site Blocking ◽  
The Impact

Presented are initial, S0, and coverage, Θ, dependent, S(Θ), adsorption probability measurements, respectively, of CO2adsorption on a hydrogen precovered, polar, Zn -terminated surface of ZnO , parametric in the impact energy, Ei, and atomic hydrogen precoverage, ΘH. Furthermore, CO2Thermal Desorption Spectroscopy has been used to estimate ΘHas well as the binding energy of CO2on H / Zn - ZnO . The S(Θ) curves are below Ei=0.56 eV , consistent with precursor-mediated adsorption (S~ const ), and above that impact energy with adsorbate-assisted adsorption (S increases with Θ). Although a decrease in the CO2binding energy from 32.5 to 28.8 kJ/mol with ΘHis present, S(Θ, ΘH) curves are consistent with a physical site blocking, as demonstrated by Monte Carlo Simulations.

Hydrogen Degradation Property of Electrochemically Charged Aluminum

2007 ◽  
Vol 1042 ◽  
Author(s):  
Hiroshi Suzuki ◽  
Daisuke Kobayashi ◽  
Kenichi Takai ◽  
Yukito Hagihara
Keyword(s):  
Aqueous Solution ◽  
Thermal Desorption ◽  
Hydrogen Molecule ◽  
Thermal Desorption Spectroscopy ◽  
Hydrogen Desorption ◽  
The Other ◽  
Hydrogen Degradation ◽  
Hydrogen Recombination ◽  
Free Hydrogen ◽  
Two Peaks

AbstractDegradation property of aluminum due to hydrogen is studied. Hydrogen is introduced by electrolysis charge in aqueous solution with addition of 0.1 mass % NH4SCN as a hydrogen recombination poison. The amount of hydrogen and its existing state in the material is analyzed by hydrogen desorption curves measured by the thermal desorption spectroscopy. The hydrogen desorption curves of charged aluminum showed two peaks, one at less than 100 °C and the other around 400 °C. The existing state of hydrogen relate to each peaks are identified as weakly trapped solute hydrogen to vacancy and free hydrogen molecule located in cavities that exists in the bulk of the material. Tensile properties are obtained to determine degradation property of the material due to hydrogen. The effect of hydrogen on degradation of charged aluminum is analyzed in terms of interaction between hydrogen and vacancy or dislocation. Solute hydrogen and cavities are found to affect ductility of aluminum, whereas hydrogen molecule in cavities has no effect.

scholarly journals Evaluation of Steels Susceptibility to Hydrogen Embrittlement: A Thermal Desorption Spectroscopy-Based Approach Coupled with Artificial Neural Network

Materials ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 5500
Author(s):  
Evgenii Malitckii ◽  
Eric Fangnon ◽  
Pedro Vilaça
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Artificial Neural Network ◽  
Hydrogen Embrittlement ◽  
Thermal Desorption ◽  
Network Architecture ◽  
Data Augmentation ◽  
Thermal Desorption Spectroscopy ◽  
Quantitative Prediction ◽  
Artificial Neural

A novel approach has been developed for quantitative evaluation of the susceptibility of steels and alloys to hydrogen embrittlement. The approach uses a combination of hydrogen thermal desorption spectroscopy (TDS) analysis with recent advances in machine learning technology to develop a regression artificial neural network (ANN) model predicting hydrogen-induced degradation of mechanical properties of steels. We describe the thermal desorption data processing, artificial neural network architecture development, and the learning process beneficial for the accuracy of the developed artificial neural network model. A data augmentation procedure was proposed to increase the diversity of the input data and improve the generalization of the model. The study of the relationship between thermal desorption spectroscopy data and the mechanical properties of steel evidences a strong correlation of their corresponding parameters. A prototype software application based on the developed model is introduced and is openly available. The developed prototype based on TDS analysis coupled with ANN is shown to be a valuable engineering tool for steel characterization and quantitative prediction of the degradation of steel properties caused by hydrogen.

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