Pan, Jie, Professor Co-Supervisor: Hongmei Sun, Dave Matthews and Kyle Saltmarsh Finite element modelling (FEA) of the sound and vibration from a submarine model Disciplines: Mechanical (1) Effect of the thrust-bearing bulkhead on the hall vibration and sound radiation of the model submarine; (2) effect of fluid loading on the vibration of the model submarine; (3) effect of dome head and cone tail structure on the vibration of the model submarine. (No. experimental rig and test data are available to guide the modelling) Pan, Jie, Professor Co-Supervisor: Hongmei Sun, Dave Matthews and Kyle Saltmarsh Application of computational fluid dynamics (CFD) to model the dynamic velocity and pressure of the flow by a bluff body above a flat surface Disciplines: Mechanical (1) effect of the distance between the circular cylinder and surface on the flow field; (2) effect of the distance between a rectangular cylinder and surface on the flow field; (3) effect of the distance between a finite plate and the surface on the flow field. (The measured velocity and pressure in a wind tunnel are available for comparison) Parish, Giacinta, Professor Co-Supervisor: Nener, Brett, Professor; Asadnia, Mohsen, Dr Advanced Sensing Technologies: Transistor-based chemical sensors for contaminant monitoring Disciplines: Chemical & Process, Electrical & Electronic, Environmental, Materials, Mechanical, Mechatronic Reliable, economically accessible technology for in situ monitoring of contaminants in water has the power to transform health, industry, and society the world around. Applications of such monitoring range from process control monitoring and optimisation for industry, to water supply quality and wastewater monitoring, to environmental monitoring for resource extraction, and beyond. The microelectronics-based technology under investigation in this project will enable in situ, real-time contaminant monitoring that is accurate, reliable and low-cost. technology offers high performance and can also be mass produced at low-cost with flexible functionalisation allowing for a variety of analytes. Furthermore, it offers the ability to integrate multiple sensors into one chip, along with wireless communication technology for maximum benefit of the in situ monitoring capability. Students will work together on the one or more of following integrated project components (and will also work alongside students working in the adjacent projects on “transistor-based biosensors”).
Pan, Jie, Professor Co-Supervisor: Hongmei Sun, Dave Matthews and Kyle Saltmarsh Finite element modelling (FEA) of the sound and vibration from a submarine model Disciplines: Mechanical (1) Effect of the thrust-bearing bulkhead on the hall vibration and sound radiation of the model submarine; (2) effect of fluid loading on the vibration of the model submarine; (3) effect of dome head and cone tail structure on the vibration of the model submarine. (No. experimental rig and test data are available to guide the modelling) Pan, Jie, Professor Co-Supervisor: Hongmei Sun, Dave Matthews and Kyle Saltmarsh Application of computational fluid dynamics (CFD) to model the dynamic velocity and pressure of the flow by a bluff body above a flat surface Disciplines: Mechanical (1) effect of the distance between the circular cylinder and surface on the flow field; (2) effect of the distance between a rectangular cylinder and surface on the flow field; (3) effect of the distance between a finite plate and the surface on the flow field. (The measured velocity and pressure in a wind tunnel are available for comparison) Parish, Giacinta, Professor Co-Supervisor: Nener, Brett, Professor; Asadnia, Mohsen, Dr Advanced Sensing Technologies: Transistor-based chemical sensors for contaminant monitoring Disciplines: Chemical & Process, Electrical & Electronic, Environmental, Materials, Mechanical, Mechatronic Reliable, economically accessible technology for in situ monitoring of contaminants in water has the power to transform health, industry, and society the world around. Applications of such monitoring range from process control monitoring and optimisation for industry, to water supply quality and wastewater monitoring, to environmental monitoring for resource extraction, and beyond. The microelectronics-based technology under investigation in this project will enable in situ, real-time contaminant monitoring that is accurate, reliable and low-cost. technology offers high performance and can also be mass produced at low-cost with flexible functionalisation allowing for a variety of analytes. Furthermore, it offers the ability to integrate multiple sensors into one chip, along with wireless communication technology for maximum benefit of the in situ monitoring capability. Students will work together on the one or more of following integrated project components (and will also work alongside students working in the adjacent projects on “transistor-based biosensors”).
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