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ABSTRACT

 

Unifying Multiphyics Simulation Environment with Comsol                                          Speaker : Mr. Remi Magnard, member of the comsol application team  

Discover the power of how multiphysics applications can be modeled by COMSOL Multiphysics and its applicability to the field of simulationg scientific and engineering applications.

 

What's New in Comsol 3.5                                                                                         Speaker: Mr. Remi Magnard, member of the comsol application team

Discover the latest features and solutions in reducing time/memory for your unlimited range of modeling needs.

 

Model Reductions in COMSOL Multiphysics with Applications in Fuel Cells        Speaker: Dr. Erik Biggerson, National University of Singapore

This topic will address the versatility of COMSOL Multiphysics in terms of implementing model reductions. In general, a typical model comprises of a set of partial differential equations (PDEs) together with constitutive relations and boundary conditions on a given computational domain. It is often possible to obtain simplified equations, semi-analytical solutions, and even change the character of the PDEs by careful consideration of the mathematical model itself. An example of the latter can be achieved by exploiting the slenderness of the computational domain, which is common in fuel cells. We will demonstrate a range of model reductions for two low-temperature fuel cells, for which we employ nondimensionalization, scaling analysis, boundary layer theory, and solving for the streamwise direction with the time-dependent solver in COMSOL Multiphysics.

 

3D COMSOL Modeling of Temperature Gradient Focusing via Joule Heating in Micro Fluidic Channels                                                                                                                                                  Speaker: Ge Zhengwei (P.H.D), Nanyang Technological University

Temperature gradient focusing (TGF) is a recently developed technique for spatially focusing and separating ionic analytes in microchannels, by balancing the bulk flow against electrophoretic migrating flux of the analytes along a controlled temperature profile. The temperature gradient required for TGF can be generated by Joule heating resulting from an applied DC electric field. In this study, a comprehensive 3D numerical model describing the Joule heating induced temperature development and TGF is developed in COMSOL. The model consists of the Laplace equation for applied electric field, the incompressible Navier–Stokes equations for the fluid flow, the energy equations for temperature field distribution and the mass transport equation for the concentration of sample solute. As the thermophysical and electrical properties including the liquid dielectric constant, viscosity, and electric conductivity and electrophoretic mobility are temperature-dependent, these governing equations are coupled and solved numerically to predict the resulting temperature, velocity and concentration profiles. The model is used to analyze the effects of varying certain geometrical and experimental paramenters on the focusing performance of the device, such as channel width and electric potential.

 

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