Intelligent Grinding Mill Simulation and Design
Closing Date: 31 October 2021Apply Now
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 economic wealth of Australia is heavily dependent on the resource-based industries, notably those associated with mining, mineral production and energy. With the current raw material market shift towards emerging minerals, such as copper and gold, it is critical for the Australian mining industry to undertake step changes to deliver safer and increased productivity to meet the significant demand both nationally and internationally, particularly when the global copper demand from electric vehicles is expected to soar from current levels to be nine times higher by 2027.
Mineral processing is the most important stage of copper and gold production, during which a comminution circuit is utilised to reduce the size of the ore materials for further mineral enrichment processing. The comminution circuit often accounts for 30% to 50% of the total production cost.
This project will provide step change improvements in the operational efficiency and service life of grinding mills by combining novel measurement and design methodologies, through a rigorous experimental and numerical research program.
The PhD Scholar will focus on developing the numerical input models for the augmented grinding mill mechanical design. The candidate will develop mill throughput models based on operational parameters and develop predictive wear models of critical mill components. A core aspect of this PhD will be working with our Industry Partner to develop a scale model grinding mill to obtain experimental data to verify the predictive wear models. The investigatory team consists of engineers, computer scientists and physicists with expertise in research areas as diverse as software engineering, mechanical engineering, mineral processing, bulk solids handling, machine learning, optimisation and numerical computations
PhD Scholarship details
Funding: $28,597 per annum (2021 rate) indexed annually. For a PhD candidate, the living allowance scholarship is for 3.5 years and the tuition fee scholarship is for four years. Scholarships also include up to $1,500 relocation allowance and Overseas Student Health Cover at single rate, for an international candidate. The scholarship will be offered to the successful candidate subject to the grant being fully established.
Supervisor: Craig Wheeler
Available to: Domestic and International students
Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that specifically links them to the research project.
Please send the email expressing interest to firstname.lastname@example.org by 5pm on 31 October 2021.
Applications Close 31 October 2021 Apply Now
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