Discrete particle simulation of powder dispersion in pharmaceutical aerosol inhalers. A successful completion of the project will i) greatly enhance the Australian R&D profile and capabilities of both computational modelling and pharmaceutical aerosol research in the world; ii) provide an improved delivery of therapeutic dose to patients via inhalers with better performance to enhance the therapeutic benefits; iii) enable wide availability of inexpensive and effective pharmaceutical inhalation p ....Discrete particle simulation of powder dispersion in pharmaceutical aerosol inhalers. A successful completion of the project will i) greatly enhance the Australian R&D profile and capabilities of both computational modelling and pharmaceutical aerosol research in the world; ii) provide an improved delivery of therapeutic dose to patients via inhalers with better performance to enhance the therapeutic benefits; iii) enable wide availability of inexpensive and effective pharmaceutical inhalation products to the Australian community for the treatment of asthma and other diseases, iv) facilitate environmentally friendly technology since powder aerosol delivery does not require any harmful organic solvents to operate.Read moreRead less
Synthesis of nanoparticles by impinging liquid-jet precipitation for inhalation drug delivery. The project aim is to develop a state of the art technology for the efficient, reliable and economical production of nanoparticles of drugs suitable for inhalation delivery to the lung. Nanoparticles can penetrate deeper into the lung where they deposit and dissolve faster for enhanced therapeutic effects. The project will focus on both the production process and the particle properties for aerosol a ....Synthesis of nanoparticles by impinging liquid-jet precipitation for inhalation drug delivery. The project aim is to develop a state of the art technology for the efficient, reliable and economical production of nanoparticles of drugs suitable for inhalation delivery to the lung. Nanoparticles can penetrate deeper into the lung where they deposit and dissolve faster for enhanced therapeutic effects. The project will focus on both the production process and the particle properties for aerosol administration. Successful development of the technology will not only gain new knowledge in the key area of nanotechnology, but also lead to better inhalation therapy to benefit patients.Read moreRead less
Development of a novel process for the formation of particles with controlled surface architecture for respiratory drug delivery. A successful conclusion of this project will enhance substantially the competitiveness of Australia's research in functional nanomaterials and advanced biomaterials. The Australian pharmaceutical industry will gain through the ability to develop proprietary pharmaceutical formulations targeted towards taking advantage of the novel process. Patients of asthma, lung inf ....Development of a novel process for the formation of particles with controlled surface architecture for respiratory drug delivery. A successful conclusion of this project will enhance substantially the competitiveness of Australia's research in functional nanomaterials and advanced biomaterials. The Australian pharmaceutical industry will gain through the ability to develop proprietary pharmaceutical formulations targeted towards taking advantage of the novel process. Patients of asthma, lung infection and other serious health problems will benefit from an improved delivery of therapeutic dose at a much reduced cost. The technology is environmentally friendly as powder aerosol delivery does not require any harmful organic solvent to operate.Read moreRead less
High Gravity Precipitation of Nanoparticles for Pulmonary Drug Delivery. This collaborative project aims to explore the huge market potential of drug delivery by inhalation aerosols using nanoparticles. It will apply cutting edge nanotechnology to develop new techniques using high gravity to synthesise particles of biomaterials suitable for inhalation. Nanoparticles can penetrate deeper into the lung where they deposit and dissolve faster for enhanced therapeutic effects. Successful developme ....High Gravity Precipitation of Nanoparticles for Pulmonary Drug Delivery. This collaborative project aims to explore the huge market potential of drug delivery by inhalation aerosols using nanoparticles. It will apply cutting edge nanotechnology to develop new techniques using high gravity to synthesise particles of biomaterials suitable for inhalation. Nanoparticles can penetrate deeper into the lung where they deposit and dissolve faster for enhanced therapeutic effects. Successful development of the technology will position both Australia and the industry partner to take a lead in the application of this novel technology in pharmaceutical aerosols, and provides better inhalation therapy to benefit patients.Read moreRead less
Dynamic Controllability Analysis for Plantwide Process Design and Control. World-wide chemical plants represent many billions of dollars of investment. Improvements to the process designs in terms of controllability would have the potential to provide large economic benefits, as it implies improved productivity, reduced operating costs and product variability. This proposed research will be a step towards integration of process design and control, which has been widely recognized as the key to t ....Dynamic Controllability Analysis for Plantwide Process Design and Control. World-wide chemical plants represent many billions of dollars of investment. Improvements to the process designs in terms of controllability would have the potential to provide large economic benefits, as it implies improved productivity, reduced operating costs and product variability. This proposed research will be a step towards integration of process design and control, which has been widely recognized as the key to this improvement. The outcomes from this project may be readily implemented in process design practice, and therefore have a direct impact to the Australian and world-wide process industries, helping to build a more efficient and environmental conscious Australian process industries.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
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
Developing novel aerosol inhalers for pulmonary drug delivery from the fundamental understanding of powder dispersion mechanisms. The project seeks to understand how powder aerosol inhalers can be significantly improved. The outcome will provide therapeutic benefits to the Australian community for better treatment of respiratory diseases and facilitate environmentally friendly technology since these inhalers do not require any harmful organic solvents to operate.