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 Surrogate Framework for evaluating THM Properties of Bentonite. Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties t ....A Novel Surrogate Framework for evaluating THM Properties of Bentonite. Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties through advanced molecular dynamics modelling, statistic learning and machine learning. It will deliver revolution design approach for bentonite used in engineered barriers in Australia and internationally. In the long-time it will bring huge economic, societal and environmental benefits to our community.Read moreRead less
Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodel ....Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodeling and machine learning algorithms for image analysis. This approach will help establish a structural-functional link between remodeling and bone material optimisation which ultimately provides significant benefits for bone tissue engineering, fracture healing and improved therapies for osteoporosis. Read moreRead less
Making Strong Alloys Ductile and Hydrogen-Tolerant via Tuning Nanogradients. This project aims to develop a novel design concept of gradient segregation engineering (GSE) to produce high-performance alloys. The innovative GSE will synergistically introduce a chemical gradient via grain boundary segregation and a physical gradient by microstructure control to simultaneously achieve an excellent strength-ductility combination and exceptional resistance to hydrogen embrittlement. This project expec ....Making Strong Alloys Ductile and Hydrogen-Tolerant via Tuning Nanogradients. This project aims to develop a novel design concept of gradient segregation engineering (GSE) to produce high-performance alloys. The innovative GSE will synergistically introduce a chemical gradient via grain boundary segregation and a physical gradient by microstructure control to simultaneously achieve an excellent strength-ductility combination and exceptional resistance to hydrogen embrittlement. This project expects to create new fundamental knowledge and provide critical perspectives for future mechanistic alloy design. The results will enhance Australia’s capacity to develop next-generation advanced alloys to underpin current and emerging industrial applications and strengthen the country’s leading position in materials engineering.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
2D Multiferroics: From Materials Design to Device Conceptualization. This project aims to design new transistors with high efficiency and low energy costing for the storage applications based on two-dimensional multifunctional heterostructures. Extensive computational simulations and joint experiments will be employed to develop fundamental knowledge essential to understanding the phenomena of magnetoelectric coupling, which is used to guide rational device design and implementation. The designe ....2D Multiferroics: From Materials Design to Device Conceptualization. This project aims to design new transistors with high efficiency and low energy costing for the storage applications based on two-dimensional multifunctional heterostructures. Extensive computational simulations and joint experiments will be employed to develop fundamental knowledge essential to understanding the phenomena of magnetoelectric coupling, which is used to guide rational device design and implementation. The designed magnetoelectric heterostructures and the multiferroic devices are expected to provide strong foundations for technological innovations resulting in devices with superior functionality and efficiency. The outcome of the project will significantly benefit high-tech electronics.Read moreRead less
Novel framework for optimising battery-cooling microchannel heat exchangers. Thermal overheating can affect the capacity, safety and life expectancy of batteries for renewable energy storage and electric vehicles. Microscale heat exchangers are a potential high-efficiency, low-bulk solution. This project aims to develop a novel computational methodology to optimise the design of those heat exchangers in which viscoelastic fluids are used to control flow instabilities and enhance heat transfer at ....Novel framework for optimising battery-cooling microchannel heat exchangers. Thermal overheating can affect the capacity, safety and life expectancy of batteries for renewable energy storage and electric vehicles. Microscale heat exchangers are a potential high-efficiency, low-bulk solution. This project aims to develop a novel computational methodology to optimise the design of those heat exchangers in which viscoelastic fluids are used to control flow instabilities and enhance heat transfer at the microscale. A new microscopic fluid physics model will provide data for an innovative neural network framework to optimise the working fluid conditions and microscale design, which could contribute to increased adoption of renewable energy technologies that are supported by microscale heat exchangers.Read moreRead less