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Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in traile ....Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in trailer design. This project expects to revolutionize the design and maintenance practices in Australian truck trailer industry. It should provide significant benefits, such as prolonging the life cycle of truck trailers, reducing the tare weight and increasing operating profit, to both trailer producers and users.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101676
Funder
Australian Research Council
Funding Amount
$435,690.00
Summary
Machine learning-based design of triply periodic minimal surface structures. This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal triply periodic minimal surface structures, considering fabrication-induced ....Machine learning-based design of triply periodic minimal surface structures. This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal triply periodic minimal surface structures, considering fabrication-induced defects and uncertainty. The expected outcome of this project is new methodologies for generating eco-friendly structures with robust mechanical properties in crashing applications. This should provide significant benefits to transport industries by enhancing structural safety and energy saving for next generation vehicles.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101633
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Multiscale design of hierarchical structures for crashworthiness. This project intends to develop new hierarchical materials and structures for light weight and crashworthiness by mimicking impact-bearing biological materials. Environmental and road safety concerns mean that vehicles must try to compromise between light weight, to reduce fuel consumption, and crashworthiness. To some extent, design optimisation of conventional materials and structures has reached its limits. This project aims to ....Multiscale design of hierarchical structures for crashworthiness. This project intends to develop new hierarchical materials and structures for light weight and crashworthiness by mimicking impact-bearing biological materials. Environmental and road safety concerns mean that vehicles must try to compromise between light weight, to reduce fuel consumption, and crashworthiness. To some extent, design optimisation of conventional materials and structures has reached its limits. This project aims to develop new biomimetic multiscale design methods to generate novel hierarchical structures for automotive applications. The study is expected to provide the automotive industry with novel approaches and designs to improve both the weight and crashworthiness of vehicles.Read moreRead less
Design of nastic cellular structures with osmotic actuation. Shape changing structures play an imperative role in aerospace, automobile, energy and other industries. This project aims to develop novel concepts extracted from nastic motion in plants and relevant computational algorithms for the design of nastic cellular structures with osmotic actuation. The project is of significance as it offers a potential solution to the shape morphing challenge in aircraft and automobile from biomimetics vie ....Design of nastic cellular structures with osmotic actuation. Shape changing structures play an imperative role in aerospace, automobile, energy and other industries. This project aims to develop novel concepts extracted from nastic motion in plants and relevant computational algorithms for the design of nastic cellular structures with osmotic actuation. The project is of significance as it offers a potential solution to the shape morphing challenge in aircraft and automobile from biomimetics viewpoint - nastic actuation. The expected outcomes will be: a new numerical method for designing nastic cellular structures; and, validated algorithms with a novel topological geometry representation and multi objectives and constraints for applications in morphing structures with multiple target shapes.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100678
Funder
Australian Research Council
Funding Amount
$438,572.00
Summary
A Digital Twin-Driven Model for Mapping Part Quality in Multi-Jet Fusion. This project aims to develop a digital simulation model to address the irregular mechanical properties of Multi-Jet Fusion in 3D printing of automotive components. This model expects to solve a significant challenge when using Multi-Jet Fusion which is the dependence of quality on the build position. The expected outcome of this project is the development of a novel tool for quality assessment in mass customisation and pro ....A Digital Twin-Driven Model for Mapping Part Quality in Multi-Jet Fusion. This project aims to develop a digital simulation model to address the irregular mechanical properties of Multi-Jet Fusion in 3D printing of automotive components. This model expects to solve a significant challenge when using Multi-Jet Fusion which is the dependence of quality on the build position. The expected outcome of this project is the development of a novel tool for quality assessment in mass customisation and production. This project will provide significant benefits by creating an independent digital simulation model for quality mapping in Multi-Jet Fusion that reduces production costs and enhances automotive part quality.Read moreRead less
Improving affordability of composite materials to meet sustainability challenges. The project will develop new technologies to improve the affordability of carbon fibre composites for non-aerospace applications. The outcome of this project will greatly accelerate the insertion of light-weight composites in clean-energy products, such as carbon fibre composite wheels, to drastically reduce CO2 emissions of road transport.