Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989125
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Enhanced Capacity in Ultra-Trace Level Detection and Speciation of Compounds of Environmental, Biological and Materials Science Interest. The proposed integrated facility will strongly support collaborative research in areas of high national priority. These are environmental sustainability, development of new materials and designing molecules of therapeutic value on the basis of better understanding the relevant biological processes. This support will lead to maximizing the outcomes of numerous ....Enhanced Capacity in Ultra-Trace Level Detection and Speciation of Compounds of Environmental, Biological and Materials Science Interest. The proposed integrated facility will strongly support collaborative research in areas of high national priority. These are environmental sustainability, development of new materials and designing molecules of therapeutic value on the basis of better understanding the relevant biological processes. This support will lead to maximizing the outcomes of numerous projects already funded by the Australian Research Council which require accurate and highly sensitive analysis. This will improve the cost effectiveness of research funding and will further strengthen the outstanding reputation of Australia science worldwide.Read moreRead less
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 ....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.Read moreRead less