Célio Fernandes
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Recent Grants
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MIT Seed Project - Data-Driven Discovery of Complex Material Responses for Digital Manufacturing
Open Date: 2021-10-01
Close Date: 2022-09-30
Grant: Close
RheoOptimized2DInks -Tintas com base em materiais 2D reologicamente otimizadas
Open Date: 2021-03-01
Close Date: 2021-07-31
Grant: Close
FCT/CPCA - Deep learning for particle-laden viscoelastic flow modelling
Open Date: 2021-01-01
Close Date: 2021-06-30
Grant: Close
FCT/CPCA - Injection Molding Simulator by Finite Pointset Method
Open Date: 2021-01-01
Close Date: 2021-06-01
Grant: Close
FCT/CPCA - Modelling the Injection Molding of Fiber Reinforced Polymeric Materials
Open Date: 2021-01-01
Close Date: 2021-06-30
Articles (18)
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2025
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2025
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2024
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2024
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2024
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2024
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2024
This work introduces a novel numerical method designed to address three-dimensional unsteady free surface flows incorporating integral viscoelastic constitutive equations, specifically the K–BKZ–PSM (Kaye–Bernstein, Kearsley, Zapas–Papanastasiou, Scriven, Macosko) model. The new proposed methodology employs a second-order finite difference approach along with the deformation fields method to solve the integral constitutive equation and the marker particle method (known as marker-and-cell) to accurately capture the evolution of the fluid’s free surface. The newly developed numerical method has proven its effectiveness in handling complex fluid flow scenarios, including confined flows and extrudate swell simulations of Boger fluids. Furthermore, a new semi-analytical solution for velocity and stress fields is derived, considering fully developed flows of a K–BKZ–PSM fluid in a pipe.
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2022
Collaborators (3)
Francisco J. Galindo-Rosales
Assistant Professor
Universidade do Porto Faculdade de Engenharia
Manuel Alves
Associate Professor
Universidade do Porto Faculdade de Engenharia
Alexandre M. Afonso
University of Porto
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