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Evento

A multi-scale modeling approach for the prediction of hydrogen transport properties in semi-crystalline polymers

Atiq, Omar; Merlonghi, Lorenzo; Castillo, Luciana AndreaIcon ; Barbosa, Silvia ElenaIcon ; Giacinti Baschetti, Marco; De Angelis, Maria Grazia
Tipo del evento: Simposio
Nombre del evento: 33rd European Symposium on Applied Thermodynamics (ESAT 2024)
Fecha del evento: 09/06/2024
Institución Organizadora: The University of Edinburgh;
Título del Libro: ESAT 2024: 33rd European Symposium on Applied Thermodynamics
Editorial: Universidad de Edimburgo
Idioma: Inglés
Clasificación temática:
Ingeniería de los Materiales

Resumen

A multiscale modelling platform was developed for the prediction of both hydrogen sorption and diffusion coefficients in HDPE; the permeability across the material was ultimately estimated according to the solution-diffusion model. Molecular Dynamics (MD) simulations of semi-crystalline HDPE structures having tailored fractions of intercrystalline connections (tie-chains), representative of different thermal histories, were carried out. The sorption coefficient was estimated by means of the Lattice Fluid Equation of State which was fully parametrized on the MD simulation results [1]. The diffusion coefficient was evaluated from the Mean Square Displacement (MSD) of hydrogen molecules within the structures during MD simulations and scaling the latter with the impermeable crystalline domains induced tortuosity which was reproduced using a Finite Volume model of the 3D spherulitic morphology. At experimental level, a time-lag equipment was used to determine diffusivity and permeability on the different polyethylene samples whose degree of crystallinity was determined through X-Ray analysis. The modelling strategy allowed to establish useful correlations between the polymer molecular structure and the barrier performance paving the way for an enhanced screening and optimization of hydrogen polymeric liners.
Palabras clave: HYDROGEN TRANSPORT PROPERTIES , SEMICRYSTALLINE POLYMERS , MULTISCALE MODELLING
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/244431
URL: https://www.esat2024.eng.ed.ac.uk/sites/esat2024.eng.ed.ac.uk/files/ESAT_2024_Bo
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Eventos(PLAPIQUI)
Eventos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Citación
A multi-scale modeling approach for the prediction of hydrogen transport properties in semi-crystalline polymers; 33rd European Symposium on Applied Thermodynamics (ESAT 2024); Reino Unido; 2024; 90-90
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