General diffusion-kinetic model of metallic oxidation

2002 ◽  
Vol 44 (5) ◽  
pp. 1113-1131 ◽  
Author(s):  
V.V Doilnitsyna
Keyword(s):  
Kinetic Model ◽  
Diffusion Kinetic

Consecutive hydrogenation of pseudoionon. Application of diffusion kinetic model to predict experimental reactor operation

1985 ◽  
Vol 29 (2) ◽  
pp. 409-415 ◽  
Author(s):  
A. Yermakova ◽  
E. M. Sulman ◽  
O. S. Popov ◽  
O. B. Sannikov ◽  
A. I. Gontar ◽  
...  
Keyword(s):  
Kinetic Model ◽  
Reactor Operation ◽  
Diffusion Kinetic ◽  
Experimental Reactor

Microstructure Development of an Electroplating Coated Nickel-Base SC Superalloy in Oxidation Processes—Simulation Results

2021 ◽  
Author(s):  
Kang Yuan ◽  
Zhaoran Zheng
Keyword(s):  
Kinetic Model ◽  
Single Crystal ◽  
Diffusion Zone ◽  
Microstructure Development ◽  
Diffusion Kinetic ◽  
Oxidation Processes ◽  
Secondary Reaction Zone ◽  
Tcp Phases ◽  
Simulation Results ◽  
Nickel Base

Abstract In this paper; a diffusion kinetic model was applied to simulate the microstructure development in a MCrAlY-superalloy system at high temperatures. Both simulation and experimental results showed that γ+γ’ microstructure was obtained in the coatings due to Al depletion after oxidation. With the help of the modelling; the mechanism of the formation of the diffusion zones in the single crystal (SC) superalloy can be also analyzed. The results revealed that the inward diffusion of Al from coating affected the depth of secondary reaction zone (SRZ) with the precipitation of TCP phases while the depth of inter-diffusion zone (IDZ) was decided by the inward diffusion of Cr.

scholarly journals A reaction–diffusion kinetic model for the heterogeneous N-deacetylation step in chitin material conversion to chitosan in catalytic alkaline solutions

2018 ◽  
Vol 3 (6) ◽  
pp. 920-929 ◽  
Author(s):  
Bojana Bradić ◽  
David Bajec ◽  
Andrej Pohar ◽  
Uroš Novak ◽  
Blaž Likozar
Keyword(s):  
Kinetic Model ◽  
Reaction Diffusion ◽  
Alkaline Solutions ◽  
Diffusion Kinetic ◽  
Mechanistic Insight ◽  
Insight Into

New mechanistic insight into the modelling of the heterogeneous N-deacetylation step of α-chitin, obtained from waste crustacean shells.

scholarly journals Седиментация малоконцентрированной взвести стоксовских частиц в перемешиваемом слое с движущейся свободной границей

2019 ◽  
Vol 89 (8) ◽  
pp. 1150
Author(s):  
А.В. Ряжских
Keyword(s):  
Free Surface ◽  
Kinetic Model ◽  
Dispersed Phase ◽  
Diffusion Kinetic ◽  
Carrier Medium ◽  
Flat Layer

The problem of sedimentation of polydisperse low-concentrated Stokes particles under the conditions of mixing if the carrier medium in a flat layer with a moving free surface is considered using a diffusion-kinetic model of the motion of the dispersed phase in the suspension

scholarly journals Diagnosing Surface Versus Bulk Reactivity for Molecular Catalysis Within Metal-Organic Frameworks Using a Quantitative Kinetic Model

2020 ◽  
Author(s):  
Ben A Johnson ◽  
Sascha Ott
Keyword(s):  
Kinetic Model ◽  
Metal Organic Frameworks ◽  
Reaction Diffusion ◽  
Surface Reactivity ◽  
Diffusion Kinetic ◽  
Molecular Catalyst ◽  
Quantitative Metrics ◽  
Metal Organic ◽  
Catalyst Systems ◽  
Molecular Catalysts

<div> <p>Metal-organic frameworks (MOFs) are becoming increasingly popular as heterogenous support matrices for molecular catalysts. Given that reactants, or potentially holes/electrons, need to diffuse into the porous framework as the reaction proceeds, the reaction can possibly take place within the bulk of the particle or be confined to a thin layer at the surface due to transport limitations. Herein, a simple steady-state reaction-diffusion kinetic model is developed to diagnose these two mutually exclusive behaviors in MOF-based systems. The oxygen evolution reaction (OER) driven by a chemical oxidant is presented as an example mechanism. Quantitative metrics for assigning either bulk or surface reactivity are delineated over a wide variety of conditions, and numerical simulations are employed to verify these results. For each case, expressions for the turnover frequency (TOF) are outlined, and it is shown that surface reactivity can influence measured TOFs. Importantly, this report shows how to transition from surface to bulk reactivity and thus identifies which experimental parameters to target for optimizing the efficiency of MOF-based molecular catalyst systems.</p> </div> <br>

Cellular Automata Diffusion-Kinetic Model of Dendritic Growth

2004 ◽  
pp. 355-364 ◽  
Author(s):  
Andriy Burbelko ◽  
Edward Fraś ◽  
Wojciech Kapturkiewicz ◽  
Ewa Olejnik
Keyword(s):  
Kinetic Model ◽  
Cellular Automata ◽  
Dendritic Growth ◽  
Diffusion Kinetic
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