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Modleak: intelligent modeling and experimental analysis of barrier leakage in porous media

Technology
Conceptual
Company

ModLeak offers a novel approach to understanding and predicting barrier leakage in non-uniform porous media by integrating simple experiments with intelligent modeling. This solution aims to improve leakage predictions, benefiting industries dealing with porous materials and fluid dynamics.

Overview

ModLeak presents an innovative solution to the challenge of predicting barrier leakage in non-uniform porous media. By combining simple experimental setups with intelligent modeling, ModLeak seeks to directly connect experimental data with the phenomena of barrier failure and leakage. This approach is particularly beneficial for industries working with materials where fluid interactions play a critical role, such as in filtration systems, packaging, and construction materials. The core value proposition of ModLeak lies in its ability to generate data that accurately correlates with leakage events, thereby improving predictive capabilities and enhancing material design.

Technical specifications

The ModLeak methodology involves theoretical analysis to identify key geometric, interfacial, mass-transfer, and fluid flow processes. These are then distilled into dimensionless numbers that guide experimental designs. The experiments assess various parameters including fluid volume, barrier volume, leakage rates, and the effects of fluid viscosity and shear thinning. The modeling aspect includes multi-compartment representations of porous media, with differentiation between wicking pathways and bulk material layers. An effective diffusion model accounts for mass transfer, utilizing a porosity-dependent diffusion coefficient. This dual approach of intelligent modeling and targeted experimentation allows for a comprehensive understanding of fluid dynamics in porous materials.

Technology readiness level

Currently, ModLeak is at Technology Readiness Level 3, indicating that it has been experimentally validated in laboratory settings with simple model systems. The next steps include further experimental studies guided by theoretical models, the development of more sophisticated models, and validation with real fluids and complex surface geometries.

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