Microbiologically Induced Stress Corrosion Cracking in Underground Mines. Premature brittle failure of rock & cable bolts due to stress corrosion cracking can cause fatalities and serious damage, and has been reported in several mining operations across Australia and world-wide. The evidence suggests that microbial activity is a contributing factor. The project aims to implement experimental methodologies to determine the specific conditions responsible for bolt failure and develop novel prevent ....Microbiologically Induced Stress Corrosion Cracking in Underground Mines. Premature brittle failure of rock & cable bolts due to stress corrosion cracking can cause fatalities and serious damage, and has been reported in several mining operations across Australia and world-wide. The evidence suggests that microbial activity is a contributing factor. The project aims to implement experimental methodologies to determine the specific conditions responsible for bolt failure and develop novel prevention techniques applicable in underground mines. The benefits of this research will be improved understanding of the environment causing catastrophic failure of bolts and avoidance of potential hazards & economic loss in mining projects. This will lead to improved safety & increased productivity in mining operations.Read moreRead less
Maximise goaf gas drainage for safe coal extraction and emissions reduction. Coal mine methane is a serious mining hazard and greenhouse gas emissions. This project seeks to enhance mining safety by maximising gas capture during coal extraction. This will be achieved through field data back-analysis, coupled Multiphysics modelling, and stochastic risk assessment. Gas explosion and spontaneous combustion risks associated with intensive gas drainage will be quantitively assessed and eliminated to ....Maximise goaf gas drainage for safe coal extraction and emissions reduction. Coal mine methane is a serious mining hazard and greenhouse gas emissions. This project seeks to enhance mining safety by maximising gas capture during coal extraction. This will be achieved through field data back-analysis, coupled Multiphysics modelling, and stochastic risk assessment. Gas explosion and spontaneous combustion risks associated with intensive gas drainage will be quantitively assessed and eliminated to help mine managers’ decision making, design optimisation, and mitigation planning. This will provide significant benefit for the mining industry in maintaining production commitments in a safe workplace while addressing environmental concerns by capturing the fugitive emissions to be converted into a useful energy resource.Read moreRead less
Transforming pastefill delivery system for next-generation mining industry. This project aims to develop a new type of mining pipeline design platform that can vastly improve pastefill (slurry) delivery systems. Using an Artificial Intelligence-based design platform, understanding complex and numerous variables in the fluid dynamics of abrasive pastefill flow will inform a new pipeline design. Consisting of a vertical casing, with our new composite pipeline chokes to replace costly friction loop ....Transforming pastefill delivery system for next-generation mining industry. This project aims to develop a new type of mining pipeline design platform that can vastly improve pastefill (slurry) delivery systems. Using an Artificial Intelligence-based design platform, understanding complex and numerous variables in the fluid dynamics of abrasive pastefill flow will inform a new pipeline design. Consisting of a vertical casing, with our new composite pipeline chokes to replace costly friction loops, improvements in flow efficiency and pipeline deterioration can significantly reduce maintenance costs. This novel and adaptable next-generation pipeline design and analysis platform can be employed by the manufacturing and mining sectors for pipeline failure analysis, managing production and developing new products.Read moreRead less
Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostic ....Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostics and predictions of the remaining useful life of turbine gearboxes. This should provide significant benefits to the Australian Wind Industry by ensuring reliable operation of wind turbines, reducing turbine downtime and reducing operation and maintenance costs; ultimately lowering the cost of energy from wind.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
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
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.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
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
Accelerated tailings remediation with plant and microbial biotechnologies. The Australian alumina industry produces 32 million tonnes of bauxite residue (alumina refining tailings) each year, most of which is stored in perpetuity in landfill-type tailings storage facilities. The high pH, high salinity, lack of plant nutrients, and poor physical properties of bauxite residue are major barriers to safe storage and successful closure of tailings storage facilities. Existing remediation approaches a ....Accelerated tailings remediation with plant and microbial biotechnologies. The Australian alumina industry produces 32 million tonnes of bauxite residue (alumina refining tailings) each year, most of which is stored in perpetuity in landfill-type tailings storage facilities. The high pH, high salinity, lack of plant nutrients, and poor physical properties of bauxite residue are major barriers to safe storage and successful closure of tailings storage facilities. Existing remediation approaches are expensive, slow, and often ineffective. We will deliver new microbial- and plant-driven biotechnologies for rapid, cost-effective remediation of bauxite residue. This will enable safe, sustainable closure of storage facilities, and safeguard the strong contribution of this $15 billion industry to Australia's economy. Read moreRead less