Predictive modeling of leakage in porous media for fluid management

Technology
Conceptual
University

This research focuses on understanding and predicting leakage in absorbent materials by analyzing fluid flow through porous media. Using numerical simulations and experiments, it aims to identify key factors affecting leakage, providing valuable insights for fluid management applications.

Overview

This research initiative aims to understand and predict the causes of leakage in absorbent materials, such as those used in pads and diapers. The study hypothesizes that leakage occurs due to saturation and defects in porous structures. By employing numerical simulations and experimental validation, the research seeks to provide insights into fluid dynamics within and around porous media. The ultimate goal is to develop a comprehensive dataset that can train AI models to predict leakage under various conditions, enhancing fluid management strategies.

Technical specifications
  • Utilizes Comsol Multiphysics for wicking simulations in porous media
  • Experiments involve controlled flow conditions using syringe pumps and high-precision scales
  • Numerical simulations provide graphical representations of fluid flow and saturation levels
  • Investigates effects of porosity, saturation, and structural defects on leakage rates
  • Future studies to expand on model media types and flow conditions
Technology readiness level

The current technology readiness level is 3, indicating that the concept has been validated through initial simulations and experiments, with further systematic testing planned to refine the hypothesis and gather comprehensive data.


About University of California, Santa Barbara

UC Santa Barbara is a comprehensive public research university with a collaborative, innovation‑driven culture. Industry partners engage through co‑located cleanrooms and prototyping suites, campus‑wide shared instrumentation, and flexible sponsored‑research agreements coordinated by an industry partnerships team. The coastal campus sits within a Central Coast technology corridor, supporting close collaboration, recruiting pipelines, capstone engagements, and short‑course training tailored to corporate needs. Research is sustained by competitive federal funding from NSF, DOE, DOD, and NIH. A dedicated technology transfer office manages IP, licensing, and startup formation to speed commercialization.

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