| Autor: |
Sharma HN; Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA, 94550, USA., Sun Y; Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA, 94550, USA., Glascoe EA; Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA, 94550, USA. glascoe2@llnl.gov. |
| Jazyk: |
angličtina |
| Zdroj: |
Scientific reports [Sci Rep] 2020 Oct 20; Vol. 10 (1), pp. 17852. Date of Electronic Publication: 2020 Oct 20. |
| DOI: |
10.1038/s41598-020-74898-w |
| Abstrakt: |
Moisture in materials can be a source of future outgassing and exacerbate unwanted changes in physical and chemical properties. Here, we investigate the effect of sample size and shape on the moisture transport phenomena through a combined experimental and modeling approach. Several different materials varying in size and shape were investigated over a wide range of relative humidities (0-90%) and temperatures ([Formula: see text]) using gravimetric type dynamic vapor sorption (DVS). A dynamic triple-mode sorption model, developed previously, was employed to describe the experimental results with good success; the model includes absorption, adsorption, pooling (clustering) of species, and molecular diffusion. Here we show that the full triple-mode sorption model is robust enough to predict the dynamic uptake and outgassing of 3-dimensional (3D) samples using parameters derived from quasi-1D samples. This successful demonstration on three different materials (filled polydimethylsiloxane (PDMS), unfilled PDMS, and ceramic inorganic composite) illustrates that the model is robust at describing the scale-independent physics and chemistry of moisture sorption and diffusion materials. This work demonstrates that while sorption mechanisms manifest in testing of all sample sizes, some of these mechanisms were so subtle that they were overlooked in our initial modeling and assessment, illustrating the importance of multi-scale experiments in the development of robust predictive capabilities. Our study also outlines the challenges and viable solutions for global optimization of a multi-parameter model. The ability to quantify moisture sorption and diffusion, independent of scale, using 1D lab-scale experiments enables prediction of long-term bulk materials behavior in real applications. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
|
Nepřihlášeným uživatelům se plný text nezobrazuje |
K zobrazení výsledku je třeba se přihlásit.
|
