Numerical simulation and multiobjective optimization of fluid–structure interaction in aluminum extrusion

Although much technological advancement has been implemented in the aluminum extrusion industry, there are still considerable expenses as tests of different process parameters or new die geometries are carried out. To reduce the amount of trial-and-error testing, it is important to understand the pr...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2023, Vol.124 (1-2), p.545-566
Main Authors: Pazeto, Danilo, Pereira, João Luiz Junho, Gomes, Guilherme Ferreira
Format: Article
Language:English
Subjects:
Algorithms
Aluminum
CAE) and Design
Computer simulation
Computer-Aided Engineering (CAD
Engineering
Extrusion
Finite element method
Fluid-structure interaction
Heuristic methods
Industrial and Production Engineering
Mathematical models
Mechanical Engineering
Media Management
Metamodels
Multiple objective analysis
Optimization
Original Article
Process parameters
Response surface methodology
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Summary:Although much technological advancement has been implemented in the aluminum extrusion industry, there are still considerable expenses as tests of different process parameters or new die geometries are carried out. To reduce the amount of trial-and-error testing, it is important to understand the process variation as each parameter or piece of equipment changes. Therefore, this work performed and analyzed the numerical simulation of aluminum extrusion using the finite element method through the COMSOL® Multiphysics software. A visco-plastic modeling approach was used, where the solid, aluminum, is treated as a high viscosity fluid. Furthermore, in order to optimize the process parameters and understand the physical behavior of the problem, a metamodel was built using a quadratic response surface model and, from this, a mono and multiobjective optimization was performed using the Lichtenberg algorithm metaheuristic. The multiobjective optimization with the metamodel resulted in errors of 0 to 2% in relation to the actual response.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-022-10543-2