Desarrollo de una metodología eficiente de optimización de forma basado en algoritmos de tipo gradiente y un código MEF de mallados cartesianos independientes de la geometría
[EN] Engineering requires the minimization of the production and logistics costs. The time reduction is a critical factor for the costs reduction. Shape optimization is a process needed in order to achieve that goal, but with a time cost elevated, sometimes. In this MTh, some alternative optimizatio...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/50759 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/50759 |
| Access Level: | acceso abierto |
| Palabra clave: | Optimización de forma Algoritmo basado en gradiente Proyección Error de discretización Sensibilidades Método de los elementos finitos Shape Optimization Gradient-based algorithm Projection Discretization error Sensitivity Finite Element Method INGENIERIA MECANICA Máster Universitario en Ingeniería Mecánica-Màster Universitari en Enginyeria Mecànica |
| Sumario: | [EN] Engineering requires the minimization of the production and logistics costs. The time reduction is a critical factor for the costs reduction. Shape optimization is a process needed in order to achieve that goal, but with a time cost elevated, sometimes. In this MTh, some alternative optimization methods are presented which are intended to reduce calculation time. For this, a gradient based optimization algorithm will be used, since it is considered that they achieve the solution faster than the evolutionary algorithm. Great part of the calculation time is used in the calculation of the finite elements mesh. In order to quicken this process, a projection error method will be used. This method takes data from the previous iteration of the optimization process. All that may be achieved without losing result quality that would be achieved with conventional methods. Those methods assure the quality of the result whatever the calculation time. However, this MTh aims to optimize the calculation time. The objective of the MTh is to search a more effective method of doing shape optimization processes. |
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