A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less
Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that e ....Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.Read moreRead less
Dissipativity based distributed model predictive control for complex industrial processes. This project will extend and improve the model predictive control technology, which is the most widely used advanced control approach in process industries. The results will potentially benefit the Australian mineral processing industry where many processes are geographically distributed, leading to more cost-effective operation.
Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault ....Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault-tolerant control for plant-wide processes. It aims to capture the key dynamic features of normal and abnormal processes by their dissipativity properties, and to use these to develop an efficient online fault diagnosis approach based on process input and output trajectories.Read moreRead less
Reducing wear on rotary coal pulverisers. The aim of this project is to develop an understanding of the small-scale flows and particle breakage required to permit optimised redesign of the attrition stage of the 36 coal pulverisers at Gladstone Power Station, which, because of erosive wear, currently have a maintenance budget of $4M per year. CFD-DEM simulation of the air and particle flows will be used to determine particle flow patterns, particle-particle and particle-wall impact energies. Thi ....Reducing wear on rotary coal pulverisers. The aim of this project is to develop an understanding of the small-scale flows and particle breakage required to permit optimised redesign of the attrition stage of the 36 coal pulverisers at Gladstone Power Station, which, because of erosive wear, currently have a maintenance budget of $4M per year. CFD-DEM simulation of the air and particle flows will be used to determine particle flow patterns, particle-particle and particle-wall impact energies. This information will be input to comminution and wear models to predict pulveriser performance and wear patterns. Simulation results will be validated using measurements from scale visualisation and working models.Read moreRead less
Interfacial Barriers to Transport in Nanomaterials. This project aims to make ground-breaking advances in the modelling of transport in disordered nanoporous materials by uncovering the interfacial barriers that are critical to the entry and exit of molecules from their nanostructure. The expected outcome is an efficient new simulation tool to simultaneously quantify interfacial transport resistances and system size-dependent internal transport coefficients. This is intended to be achieved throu ....Interfacial Barriers to Transport in Nanomaterials. This project aims to make ground-breaking advances in the modelling of transport in disordered nanoporous materials by uncovering the interfacial barriers that are critical to the entry and exit of molecules from their nanostructure. The expected outcome is an efficient new simulation tool to simultaneously quantify interfacial transport resistances and system size-dependent internal transport coefficients. This is intended to be achieved through simulations and experiments on the adsorption and dynamics of targeted gases in carbons with distinctly different nanostructures, enabling the optimal design of a wide range of emerging nanotechnologies for membrane separations, kinetic molecular sieving, catalysis, and gas and electrochemical energy storage.Read moreRead less
Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will re ....Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will resolve uncertainties in the underlying phenomena. The expected outcome should support future high quality cell cultures suitable for transplantation therapies.Read moreRead less
Role of Reactive Particles in Explosive Emulsions. Concentrated water-in oil explosive emulsions are widely used in the minerals industry because they are cheap, easily detonated and relatively safe to handle. Their explosive energy can be significantly increased when reactive particles are introduced into the emulsion matrix. To do this, the interaction between the solid, oil, and water phases needs to be optimised. This investigation will increase our basic understanding of the physical and ch ....Role of Reactive Particles in Explosive Emulsions. Concentrated water-in oil explosive emulsions are widely used in the minerals industry because they are cheap, easily detonated and relatively safe to handle. Their explosive energy can be significantly increased when reactive particles are introduced into the emulsion matrix. To do this, the interaction between the solid, oil, and water phases needs to be optimised. This investigation will increase our basic understanding of the physical and chemical interactions that occur between the particle and the oil-water interface, and develop a more efficient explosive that can be produced continuously on a commercial scale.Read moreRead less
Vaporization of heavier gas oil in Fluid Catalytic Cracking risers. Fluid Catalytic Cracking (FCC) is an important refinery operation responsible for about 45 per cent of the total petrol produced. The project is aimed at improving production efficiency of Australian refineries by applying fundamental modelling to the FCC. The outcomes will enable refiners to produce cleaner fuel and decrease greenhouse gas emissions.