Improvement of the remote expert system based on software Otea.
FERROGLOBE. Advancing Materials Innovation
ITMATI, Universidades de Santiago de Compostela
Mathematical modeling and numerical simulation with the aim of improving the efficiency and productivity of industrial furnaces for metal purification, thus allowing the treatment of greater quantities of material.
Challenges and goals
Study of an industrial furnace for solar silicon purification. The goal is to improve its efficiency and productivity through the integral numerical simulation of the coupled physical processes (electromagnetic, thermal, hydrodynamic, thermodynamic and structural) that take place inside it.
Mathematical and computational methods
- Mathematical Modelling of the multiphysics process: Non-linear partial differential equations: electromagnetism, heat transfer, hydrodynamics, gas kinetics, thermodynamics.
- Thermo-structural analysis of the key pieces of the furnace.
- Computational methods: finite elements, finite volumes, Newton’s method.
- Commercial Codes: Flux3D, Ansys Fluent, Ansys Mechanical.
Results and Benefits
The company has been provided with a tool that allows it to control the behavior of the system, and to determinate the influence of the geometric and operating parameters in its performance, in order to optimize the process and avoiding trial-error tests in plant which are technically and economically very expensive.
The structural model has been added to the tool, and it allows to study with more detail parts of the machine under bigger thermal and mechanical stresses and to design alternatives without compromising the performance of the process.
Application of the model to furnaces of greater capacity, which allow to process greater quantities of material.