Article

 

Layout synthesis of fluid channels using generative graph grammars Público Deposited

Conteúdo disponível para baixar

Baixar PDF
https://ir.library.oregonstate.edu/concern/articles/vq27zq25h

Descriptions

Attribute NameValues
Creator
Abstract
  • This paper presents a new technique for shape and topology optimization of fluid channels using generative design synthesis methods. The proposed method uses the generative abilities of graph grammars with simulation and analysis power of conventional CFD methods. The graph grammar interpreter GraphSynth is used to carry out graph transformations, which define different topologies for a given multi-inlet multi-outlet problem. After evaluating and optimizing the generated graphs, they are first transformed into meaningful 3D shapes. These solutions are then analyzed by a CFD solver for final evaluation of the possible solutions. The effectiveness of the proposed method is checked by solving a variety of available test problems and comparing them with those found in the literature. Furthermore by solving very complex large scale problems the robustness and effectiveness of the method is tested. To extend the work future research directions are presented.
  • Keywords: Design automation, Fluid channel layout synthesis, Topology optimization, Computational design synthesis, Graph grammar
  • Keywords: Design automation, Fluid channel layout synthesis, Topology optimization, Computational design synthesis, Graph grammar
Resource Type
DOI
Date Available
Date Issued
Citation
  • Hooshmand, A., & Campbell, M. I. (2014). Layout synthesis of fluid channels using generative graph grammars. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 28(3), 239-257. doi:10.1017/S0890060414000201
Journal Title
Journal Volume
  • 28
Journal Issue/Number
  • 3
Declaração de direitos
Funding Statement (additional comments about funding)
  • With the support of the Technische Universität München – Institute for Advanced Study, funded by the German Excellence Initiative.
Publisher
Peer Reviewed
Language
Replaces

Relações

Parents:

This work has no parents.

Itens