Optimization methods are now recognized to be vital in the design of fluid flow equipment and processes. Design optimization based on computational fluid dynamics (CFD) analysis has become a reliable tool for fluid flow and heat and mass transfer applications due to the rapid increase in computing power. However, to avoid expensive CFD simulations for entire design process, surrogate models are used to reduce the computational burden with a reliable representation of CFD data. e aim of the special issue was to bring together contributions from engineers, mathe- maticians, and computer scientists working on basic research and practical applications in engineering optimization. A substantial number of papers were submitted, and a total of 4 original research papers which covered the application of optimization techniques to flow and heat transfer problems are published in the special issue.

Optimization with Surrogate Models: Flow and Heat Transfer Applications

Benini, Ernesto
2019

Abstract

Optimization methods are now recognized to be vital in the design of fluid flow equipment and processes. Design optimization based on computational fluid dynamics (CFD) analysis has become a reliable tool for fluid flow and heat and mass transfer applications due to the rapid increase in computing power. However, to avoid expensive CFD simulations for entire design process, surrogate models are used to reduce the computational burden with a reliable representation of CFD data. e aim of the special issue was to bring together contributions from engineers, mathe- maticians, and computer scientists working on basic research and practical applications in engineering optimization. A substantial number of papers were submitted, and a total of 4 original research papers which covered the application of optimization techniques to flow and heat transfer problems are published in the special issue.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3302459
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