Moisture Diffusion in Multi-Layered Materials: The Role of Layer Stacking and Composition
Shaojie Zhang, Yuhao Liu, Peng Feng, Pavana Prabhakar

TL;DR
This paper develops a new computational model to accurately predict moisture diffusion in multi-layered materials, considering layer stacking, composition, and diffusion properties, validated by experiments and useful for designing moisture-resistant composites.
Contribution
It introduces a novel model that accounts for layer order and composition in moisture diffusion, improving upon existing series and parallel models.
Findings
The new model predicts diffusion coefficients more accurately than traditional models.
Layer stacking order significantly influences moisture diffusion behavior.
Experimental validation confirms the model's effectiveness in real materials.
Abstract
Multi-layered materials are everywhere, from fiber-reinforced polymer composites (FRPCs) to plywood sheets to layered rocks. When in service, these materials are often exposed to long-term environmental factors, like moisture, temperature, salinity, etc. Moisture, in particular, is known to cause significant degradation of materials like polymers, often resulting in loss of material durability. Hence, it is critical to determine the total diffusion coefficient of multi-layered materials given the coefficients of individual layers. However, the relationship between a multi-layered material's total diffusion coefficient and the individual layers' diffusion coefficients is not well established. Existing parallel and series models to determine the total diffusion coefficient do not account for the order of layer stacking. In this paper, we introduce three parameters influencing the…
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Taxonomy
TopicsMetallurgical Processes and Thermodynamics · Advanced Mathematical Modeling in Engineering · Materials Engineering and Processing
