Discovery Early Career Researcher Award - Grant ID: DE230101196
Funder
Australian Research Council
Funding Amount
$439,012.00
Summary
Data-Driven Design for 3D Printed Materials with Tailored Fracture Response. Fracture is the main source of material failure and may cause serious engineering disasters and even death. This project aims to develop a Data-Driven Design System that intelligently optimizes local materials and architectures for heterogeneous structures with desired fracture response, and enhancing their mechanical fracture properties including stiffness, strength, toughness, and failure displacement. It will open up ....Data-Driven Design for 3D Printed Materials with Tailored Fracture Response. Fracture is the main source of material failure and may cause serious engineering disasters and even death. This project aims to develop a Data-Driven Design System that intelligently optimizes local materials and architectures for heterogeneous structures with desired fracture response, and enhancing their mechanical fracture properties including stiffness, strength, toughness, and failure displacement. It will open up a new and promising research field in mechanics and data-driven science that deals with intractable inverse problems in broad engineering fields. Economic, high-performance, and customized 3D printed structural materials will be generated to benefit national corporations and enterprises and meet the high-end industry needs.Read moreRead less
A novel multiscale model to investigate mechanical properties of cartilage. This project aims to develop a new multiscale model to investigate anisotropic and inhomogeneous mechanical properties of cartilage. It has been found that the mechanical properties of cartilage highly depend on its microstructures and components. The new model is proposed based on a new constitutive relation in the macroscale and a novel algorithm to obtain local stress distributions in the microscale as well as through ....A novel multiscale model to investigate mechanical properties of cartilage. This project aims to develop a new multiscale model to investigate anisotropic and inhomogeneous mechanical properties of cartilage. It has been found that the mechanical properties of cartilage highly depend on its microstructures and components. The new model is proposed based on a new constitutive relation in the macroscale and a novel algorithm to obtain local stress distributions in the microscale as well as through rigorous experimental validations. This model will be a powerful tool to understand cartilage mechanical properties. It will accelerate the design of mechanically viable artificial cartilage biomaterial, which will provide significant economic benefits and place Australia in the forefront of modelling and biomaterials.Read moreRead less
A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optima ....A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optimal design and experimental validations. It will accelerate the design of these new carbon-based fibres as game-changing materials in a wide range of areas. Ultimately this project has the potential to deliver significant economic benefits and will place Australia at the forefront of the industrial revolution of the future.Read moreRead less
A Multiscale Modelling Framework for Mechanical Properties of ECM. This project aims to develop a novel hierarchical multi-scale modelling framework to understand factors that influence the mechanical deformation behaviour of the extracellular matrix (ECM) such as cartilage, whose mechanical performance is critical to human wellbeing. Modelling ECM presents significant challenges due to the need to incorporate effects at scales from atomic interactions up to the fibre network in a continuum mode ....A Multiscale Modelling Framework for Mechanical Properties of ECM. This project aims to develop a novel hierarchical multi-scale modelling framework to understand factors that influence the mechanical deformation behaviour of the extracellular matrix (ECM) such as cartilage, whose mechanical performance is critical to human wellbeing. Modelling ECM presents significant challenges due to the need to incorporate effects at scales from atomic interactions up to the fibre network in a continuum model. The proposed framework follows ECM's natural hierarchical structure and integrates efficient models for each key structural scale based on rigorous experimental validations. It is expected to provide a powerful tool for designing successful artificial ECM materials and understanding the mechanisms of the ECM degradation.Read moreRead less
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.Read moreRead less
Minimization of emissions from dimethyl ether (DME) combustion in a diesel engine. The project works on the utilization of dimethyl ether, an innovative clean fuel produced from coal or natural gas, as a diesel substitute. The utilization of DME in diesel engines can potentially reduce the emissions by 90%, making it possible to meet the strictest engine standard. In the meantime the engine efficiency can be improved. The outcomes of the project will help accelarate the maturity of the DME mark ....Minimization of emissions from dimethyl ether (DME) combustion in a diesel engine. The project works on the utilization of dimethyl ether, an innovative clean fuel produced from coal or natural gas, as a diesel substitute. The utilization of DME in diesel engines can potentially reduce the emissions by 90%, making it possible to meet the strictest engine standard. In the meantime the engine efficiency can be improved. The outcomes of the project will help accelarate the maturity of the DME market in Australia. Read moreRead less
Dislocation motion and anelastic recovery in layered ceramic titanate. This project aims to research deformation and facture in brittle ceramic nanowire materials and anelastic behaviour in tensile deformation. Layered sodium titanate is used in energy storage and water treatment, but in-situ tensile tests have observed unconventional deformation behaviour, with significant dislocation motion and anelastic recovery. This project will study the deformation mechanism in layered sodium titanate nan ....Dislocation motion and anelastic recovery in layered ceramic titanate. This project aims to research deformation and facture in brittle ceramic nanowire materials and anelastic behaviour in tensile deformation. Layered sodium titanate is used in energy storage and water treatment, but in-situ tensile tests have observed unconventional deformation behaviour, with significant dislocation motion and anelastic recovery. This project will study the deformation mechanism in layered sodium titanate nanowires through molecular dynamics simulations, empirical interatomic potential, and in situ TEM experiments. Expected outcomes include knowledge of the deformation mechanism of this layered titanate which can be broadened to technologically important layered ceramic materials.Read moreRead less
Innovative multiscale modelling to explore mechanical properties of single living cells. This project will develop a new modelling platform to explore the relationship between living cell mechanical properties, their response to mechanical loads and their biological functions. Providing knowledge beyond current experimental measurements, this model will support studies into new treatments and preventions for diseases.
A novel multiscale modelling technique to explore mechanical deformation of nanowires in high-performance devices. A novel multiscale modelling technique with a number of key innovations will be developed. This new model is capable of taking account of the surface effects which are important for nanowires and will enhance prediction accuracy and provide knowledge beyond current experimental measurements to underpin performance of new devices.
Advanced geotechnical sensing and early warning system for smart highway. This project aims to develop an advanced sensing system with interactive analytical road health monitoring for smart highways. The project expects to provide potential savings of millions of dollars and improved road quality through targeted, optimised, value-for-money highway maintenance, identified by deployment of cost-effective, energy-efficient miniaturised electromechanical sensors. The expected outcome of this proje ....Advanced geotechnical sensing and early warning system for smart highway. This project aims to develop an advanced sensing system with interactive analytical road health monitoring for smart highways. The project expects to provide potential savings of millions of dollars and improved road quality through targeted, optimised, value-for-money highway maintenance, identified by deployment of cost-effective, energy-efficient miniaturised electromechanical sensors. The expected outcome of this project is the development of a fit-for-purpose and evidence-based early warning system for smart highway construction and maintenance. This should provide significant benefit through foreseeing potential geotechnical risks before they happen and enabling early intervention to enhance road safety and mitigate economic losses.Read moreRead less