Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP0347399
Funding Status
Closed
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Funded Activity Summary
OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel with in mind of robust and speedy computations of key design parameters of compact boiling heat exchangers through the artificial neural networks (ANN) model and maintaining the inherent accuracy associated with the solutions of the boiling flow and heat transfer processes from computational fluid dynamics (CFD) and validated using experimental data. It will provide a cutting edge to the Industry Partner to compete successfully on the local and global market fronts in designing and manufacturing compact boiling heat exchangers.Funded Activity Details
Start Date: 03-2003
End Date: 11-2007
Funding Scheme: Linkage Projects
Funding Amount: $69,099.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Neural Networks, Genetic Alogrithms And Fuzzy Logic | Other Information, Computing And Communication Sciences | Heat And Mass Transfer Operations | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Computer software and services not elsewhere classified | Manufactured products not elsewhere classified | Other |
