Simulação de fluido de um tanque industrial utilizando o método numérico smoothed particle hydrodynamics
Numerical methods are largely used to solve problems and complex natural physical phenomena that do not have an analytical solution. Its approach to approximation enables the resolution of technical and scientific problems with great fidelity of results. The Smoothed Particle Hydrodynamics (SPH) met...
Autor principal: | Boszczovski, Pedro Henrique Piantoni |
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Formato: | Dissertação |
Idioma: | Português |
Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
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Assuntos: | |
Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/28397 |
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Resumo: |
Numerical methods are largely used to solve problems and complex natural physical phenomena that do not have an analytical solution. Its approach to approximation enables the resolution of technical and scientific problems with great fidelity of results. The Smoothed Particle Hydrodynamics (SPH) method is a method whose origin derives from the study of astrophysical problems and which was applied to the study of fluid behavior. Therefore, it is currently a powerful tool capable of solving major problems related to fluid dynamics, used by the academy and in commercial functions. The method is Lagrangean and does not depend on a numerical mesh, which is responsible for reading information at every moment of time, but rather that small particles, discretized in the domain, have their own information and carry it for as long as necessary. The method was applied in an industrial refrigeration tank as a form of modeling to avoid application costs and improvements of operation by the simulator DualSphysics. Two simulations were made with different geometries, being original and modified. The proposed new mixer model achieved small gains in energy savings, better fluid flow and distribution, and greater energy utilization of the system. The method proved to have high computational demand, however, high ability to work with fluids and deformations common to these problems. |
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