An advanced simulation tool using coupled DEM-CFD models to predict hair-fluid interactions, capturing forces like drag and capillary action, applicable in cosmetic product testing and development.
The multiscale DEM-CFD coupled model offers a sophisticated simulation tool designed to accurately predict the interactions between hair strands and fluid flow. By integrating Discrete Element Methods (DEM) for modeling hair dynamics and Computational Fluid Dynamics (CFD) for fluid behavior, this framework simulates complex forces such as drag, capillary action, and strand cohesion. This model is particularly useful for understanding hair responses to various fluid environments including washing, drying, and styling. It aims to predict critical hair properties like elasticity, friction, and porosity under different conditions, providing valuable insights for cosmetic product development.
The model is at Technology Readiness Level 6, indicating it has been validated in a relevant environment, but further experimental insights and data are required for full commercial deployment. The project seeks partnerships for funding and experimental data to enhance model robustness and applicability.
Lawrence Technological University is a private STEM- and design-focused university of a few thousand students with a hands-on, industry-centric culture. Based in Southfield within the Detroit metro manufacturing and mobility hub, LTU connects companies to faculty expertise, student talent, and shared prototyping spaces for rapid development. A structured co-op and internship model, plus professional studios and capstone collaborations, streamlines applied engagements and recruiting. Research is supported by competitive federal and state funding, including National Science Foundation awards and industry contracts. A dedicated technology transfer office supports IP strategy, prototyping, supplier introductions, and commercialization.