| Summary: | This article describes the SCSV_IPS software, developed for estimating the shear coefficient of spin viscosity. With that objective in mind, we built a mathematical model upon the Theory of Internal Angular Moment Diffusion. That coefficient, along with others, describes the movement of a ferrofluid confined to a cylindrical container under the effect of an external rotating magnetic field. As far as we know, there are no experimental measurement of such a coefficient. Therefore, to validate our software, we propose the use of synthetic measurements. We generate such type of data by adding white Gaussian noise signals to the numerical solution of the ferrohydrodynamic mathematical model. After that, we use it to solve a global optimization problem. We used different levels of noise as to increase the number of scenarios for our validation. We discuss some illustrative examples, which evidence the excellent performance of our software. Additionally, SCSV_IPS stands as a computational tool for validating experimental designs of future in situ measurements.
|
|---|