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Industrial Transformation Training Centres - Grant ID: IC160100036
Funder
Australian Research Council
Funding Amount
$4,881,754.00
Summary
ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its netw ....ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its networked training environment. It expects these innovations will enable much needed efficiencies after the end of the mining super-cycle. Anticipated outcomes are the design of products with superior alloy design and material selection; jobs growth and security in the mining component production sector; and increased mining efficiency and cost reduction.Read moreRead less
Preventing extreme granular wear of geotechnical machinery. This project will investigate the mechanisms controlling the mechanical wear that is incurred while handling geomaterials such as sand, ore, coal and fragmented rock. The overarching aim is to help forecast and mitigate extreme wear conditions by analysing the microscopic forces that granular materials produce when in contact with moving metallic surfaces. The intended outcomes include a thorough understanding of these interfacial inter ....Preventing extreme granular wear of geotechnical machinery. This project will investigate the mechanisms controlling the mechanical wear that is incurred while handling geomaterials such as sand, ore, coal and fragmented rock. The overarching aim is to help forecast and mitigate extreme wear conditions by analysing the microscopic forces that granular materials produce when in contact with moving metallic surfaces. The intended outcomes include a thorough understanding of these interfacial interactions and an experimentally validated theory predicting wear rates for a range of materials and handling processes. The expected benefit of this project is to enhance the productivity and reliability of the mining and construction sectors by reducing wear-related machinery failures.Read moreRead less
An intelligent condition-monitoring system for mineral screening machines. This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the e ....An intelligent condition-monitoring system for mineral screening machines. This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the expected outcomes of this project, will modernise the current maintenance practices towards condition-based predictive maintenance, reducing unplanned downtime, increasing productivity and reducing maintenance costs for the Australian mining industry. It will also add more value to the Australian manufactured products. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100028
Funder
Australian Research Council
Funding Amount
$4,969,602.00
Summary
ARC Training Centre for Innovative Composites for the Future of Sustainable Mining Equipment. The Centre aims to train industry-focused researchers in advanced manufacturing of new-generation mining equipment and sustainable mining technology, through close collaborations among key universities and mining and manufacturing companies. The Centre will cultivate a team of world-class academic researchers and industry leaders to deliver an innovative program on research of innovative composites coup ....ARC Training Centre for Innovative Composites for the Future of Sustainable Mining Equipment. The Centre aims to train industry-focused researchers in advanced manufacturing of new-generation mining equipment and sustainable mining technology, through close collaborations among key universities and mining and manufacturing companies. The Centre will cultivate a team of world-class academic researchers and industry leaders to deliver an innovative program on research of innovative composites coupled with work-integrated learning, to not only produce a workforce that meets future skills demand but also develop sustainable and cost-effective mining equipment and high-efficiency mining technologies, benefiting the nation's manufacturing and mining sectors and significantly enhancing the competitiveness of the Australian mining industry.Read moreRead less
Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings a ....Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings and outcomes of this research will advance the knowledge and practice of hard-rock mining machines in Australia. The success of this project will significantly increase mining productivity and reduce human injuryRead moreRead less
Development of next generation smart sucker rod wear guides . In a natural gas wells, sucker rod guides protect the production tubing from wear by the rod string. Premature and erratic failures are costing the industry tens of millions every year. In collaboration with two local SMEs, this project aims to develop the next generation of smart and durable wear guides. The project seeks to understand the complex three body wear mechanisms that drive guide and tubing wear, then use this knowledge to ....Development of next generation smart sucker rod wear guides . In a natural gas wells, sucker rod guides protect the production tubing from wear by the rod string. Premature and erratic failures are costing the industry tens of millions every year. In collaboration with two local SMEs, this project aims to develop the next generation of smart and durable wear guides. The project seeks to understand the complex three body wear mechanisms that drive guide and tubing wear, then use this knowledge to develop new wear resistant compounds and develop a smart guide that provides feedback on its wear state. This will enable the industry partners to supply cutting edge technology to the global oil and gas industry that not only reduces well operation cost but also enhances well resilience.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monoton ....Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monotonically towards failure, and thus greatly improve the estimates of remaining useful equipment life. An additional benefit of the application will be the ability to predict overall noise radiation from a machine or object if both the sources and modal models are scaled.Read moreRead less
Immersive Technologies for Rapid Metallic Tank Inspection and Repairs. Metal tank silos house some of the most dangerous chemicals, which erode the internal structure of the tank over time. It is critical to check the integrity of the tank to prevent disasters from occurring. NDE solutions uses a rapid motion scanner (RMS) to scan the interior surface of the container while it is still full of its storage material. It is the aim of this project to use Augmented Reality, to overlay the scan provi ....Immersive Technologies for Rapid Metallic Tank Inspection and Repairs. Metal tank silos house some of the most dangerous chemicals, which erode the internal structure of the tank over time. It is critical to check the integrity of the tank to prevent disasters from occurring. NDE solutions uses a rapid motion scanner (RMS) to scan the interior surface of the container while it is still full of its storage material. It is the aim of this project to use Augmented Reality, to overlay the scan provided by the RMS, onto the worker's view of the tank, control the robot via. hand gestures, and facilitate remote training/guidance. The result will allow for inspection workers to quickly and accurately the location of critical failures, without performing the hazardous procedures of internal tank inspection. Read moreRead less
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 progra ....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.Read moreRead less