Proper Orthogonal Decomposition-Based Reduced Order Model of a Hydraulic Mixing Nozzle
Author(s) -
Sunil Suram,
Douglas S. McCorkle,
Kenneth M. Bryden
Publication year - 2008
Publication title -
12th aiaa/issmo multidisciplinary analysis and optimization conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2008-5965
Subject(s) - nozzle , proper orthogonal decomposition , mixing (physics) , decomposition , computer science , hydraulic machinery , mechanics , mechanical engineering , control theory (sociology) , engineering , physics , artificial intelligence , chemistry , turbulence , organic chemistry , quantum mechanics , control (management)
In this work, a reduced order model is constructed for a hydraulic mixing nozzle using proper orthogonal decomposition. Data from several CFD computations are collected to provide the data for input to the reduced order model and flow is projected onto the most dominant principal axes to study the flow structures. Flow structures are compared for the original and optimized shape nozzles to study the effect of changing the nozzle’s shape on the flow characteristics. This study also addresses issues regarding the time required for collecting CFD data and how it has been reduced by using a modified convergence criterion.
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