Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP190100378
Funding Status
Active
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Funded Activity Summary
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Funded Activity Details
Start Date: 05-2021
End Date: 05-2024
Funding Scheme: Linkage Projects
Funding Amount: $545,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Mechanical Engineering not elsewhere classified | Mineral Processing/Beneficiation | Mechanical Engineering | Numerical Modelling and Mechanical Characterisation
ANZSRC Socio-Economic Objective (SEO)
Mining Machinery and Equipment | First Stage Treatment of Ores and Minerals not elsewhere classified |
