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Erschienen in: Structural and Multidisciplinary Optimization 6/2018

03.10.2018 | Research Paper

Topology optimization applied to the design of 2D swirl flow devices

verfasst von: Diego Hayashi Alonso, Luís Fernando Nogueira de Sá, Juan Sergio Romero Saenz, Emílio Carlos Nelli Silva

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 6/2018

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Abstract

The design of fluid devices, such as flow machines, mixers, separators, and valves, with the aim to improve performance is of high interest. One way to achieve it is by designing them through the topology optimization method. However, there is a specific large class of fluid flow problems called 2D swirl flow problems which presents an axisymmetric flow with (or without) flow rotation around the axisymmetric axis. Some devices which allow such simplification are hydrocyclones, some pumps and turbines, fluid separators, etc. Once solving a topology optimization problem for this class of problems using a 3D domain results in a quite high computational cost, the development and use of 2D swirl models is of high interest. Thus, the main objective of this work is to propose a topology optimization formulation for 2D swirl flow fluid problem to design these kinds of fluid devices. The objective is to minimize the relative energy dissipation considering the viscous and porous effects. The 2D swirl laminar fluid flow modelling is solved by using the finite element method. A traditional material model is adopted by considering nodal design variables. An interior point optimization (IPOPT) algorithm is applied to solve the optimization problem. Numerical examples are presented to illustrate the application of this model for various 2D swirl flow cases.

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Metadaten
Titel
Topology optimization applied to the design of 2D swirl flow devices
verfasst von
Diego Hayashi Alonso
Luís Fernando Nogueira de Sá
Juan Sergio Romero Saenz
Emílio Carlos Nelli Silva
Publikationsdatum
03.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 6/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-018-2078-0

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