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Tytuł pozycji:

Finite Element Modeling of Atmospheric Water Extraction by Way of Highly Porous Adsorbents: A Roadmap for Solver Construction with Model Factor Sensitivity Screening.

Tytuł:
Finite Element Modeling of Atmospheric Water Extraction by Way of Highly Porous Adsorbents: A Roadmap for Solver Construction with Model Factor Sensitivity Screening.
Autorzy:
Gildernew E; Department of Chemical Engineering, Graduate School University of Tennessee at Chattanooga, Chattanooga, Tennessee 37403, United States.
Yang S; Department of Chemical Engineering, Graduate School University of Tennessee at Chattanooga, Chattanooga, Tennessee 37403, United States.
Źródło:
Journal of chemical information and modeling [J Chem Inf Model] 2022 Sep 12; Vol. 62 (17), pp. 4149-4161. Date of Electronic Publication: 2022 Aug 22.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: Washington, D.C. : American Chemical Society, c2005-
MeSH Terms:
Zeolites*
Adsorption ; Finite Element Analysis ; Porosity ; Thermodynamics
Substance Nomenclature:
1318-02-1 (Zeolites)
Entry Date(s):
Date Created: 20220822 Date Completed: 20220913 Latest Revision: 20221018
Update Code:
20240104
DOI:
10.1021/acs.jcim.2c00683
PMID:
35994361
Czasopismo naukowe
A finite element model (FEM) is developed for use in determining adsorption system performance. The model is intended to guide novel adsorbent structure fabrication and atmospheric water harvesting device design. We survey a variety of governing equation factor inputs and relationships which describe the interaction between zeolite 13X and water vapor. Mitigation strategies are discussed for detecting the breakdown of continuum modeling at the microscale wherein Knudsen effects and other anomalous behaviors emerge. Characterization of model factor inputs and the techniques for their sourcing is described with consideration to the construction of a high throughput multiscale shape optimized computational schema. Four objectives guided the development of this model. Our first objective was to understand the implementation of adsorption system equations and the assumptions that could prevent reliable predictability. The second objective was to assemble, reduce, and analyze model constants and approximations that express FEM coefficient calculations as physical forces and thermodynamic properties which could be derived from other computational methods. Third, we analyzed factor sensitivity of model inputs by way of a 2 k factorial screening to determine which inputs are driving the physics of water harvesting adsorption systems. The fourth objective was to design the FEM solver for integration into a multiscale high throughput topologically optimized schema. The main finding of the solver factor screening indicates that total micropore volume has the highest value characteristics in relation to water uptake.

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