Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and be ....Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and better braking performance by applying magnetorheological technology for a high-quality control of power-shifting, and therefore significantly improve vehicle dynamic and economic performance. A new era of high-efficiency electric powertrains could potentially be launched through the development of these novel technologies.Read moreRead less
Electromagnetically Interconnected Suspension for Electrified Vehicles . This project aims to develop an innovative, electromagnetically interconnected suspension system to enhance vehicle ride comfort, stability and handling dynamics, and thus safety of electrified vehicles. Specifically, the project integrates a set of novel electromagnetic shock absorbers to form an effective electrical network so as to realise an electromagnetically interconnected suspension system. Advanced integrated con ....Electromagnetically Interconnected Suspension for Electrified Vehicles . This project aims to develop an innovative, electromagnetically interconnected suspension system to enhance vehicle ride comfort, stability and handling dynamics, and thus safety of electrified vehicles. Specifically, the project integrates a set of novel electromagnetic shock absorbers to form an effective electrical network so as to realise an electromagnetically interconnected suspension system. Advanced integrated control techniques can then be applied to improve vehicle performance and dynamics in three planes. The project will assist the rapid development of transportation electrification. The outcomes from this project will lead to tangible improvements in vehicle comfort and safety.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC160100032
Funder
Australian Research Council
Funding Amount
$3,024,379.00
Summary
ARC Training Centre in Lightweight Automotive Structures. ARC Training Centre in Lightweight Automotive Structures. This training centre aims to train a cohort of industry-focused researchers and to develop new lightweighting technologies, which are key to reducing carbon dioxide (CO2 emissions in transportation. In partnership with domestic and international companies and universities, this centre intends to develop new lightweight materials, advanced manufacturing processes, energy storage des ....ARC Training Centre in Lightweight Automotive Structures. ARC Training Centre in Lightweight Automotive Structures. This training centre aims to train a cohort of industry-focused researchers and to develop new lightweighting technologies, which are key to reducing carbon dioxide (CO2 emissions in transportation. In partnership with domestic and international companies and universities, this centre intends to develop new lightweight materials, advanced manufacturing processes, energy storage designs, and rapid non-destructive evaluation techniques. The intended outcome is to accelerate the transformation of Australia's automotive industry—now facing unprecedented structural adjustment—from vehicle production to export of design and engineering services, high-value products, and novel technology solutions.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
Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodo ....Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodology will expand conventional crashworthiness design to the coupled mechanical-electrochemical-thermal problems. The proposed crashworthiness optimisation of battery compartment structure will enhance safety and reliability of electric vehicles, potentially benefiting consumers and manufacturers.Read moreRead less
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
Australian Laureate Fellowships - Grant ID: FL200100049
Funder
Australian Research Council
Funding Amount
$2,906,992.00
Summary
Nanofluidic Membranes for Sustainable Energy Future. This project aims to create a novel class of advanced membranes by making fundamental breakthroughs in nanofluidics, and harnessing this for developing new renewable energy and low-energy separation technologies. This project addresses the key challenges in understanding selective mass transport at the angstrom scale, thereby allowing the development of innovative materials design strategies to realise the ultrafast molecular and ionic permeat ....Nanofluidic Membranes for Sustainable Energy Future. This project aims to create a novel class of advanced membranes by making fundamental breakthroughs in nanofluidics, and harnessing this for developing new renewable energy and low-energy separation technologies. This project addresses the key challenges in understanding selective mass transport at the angstrom scale, thereby allowing the development of innovative materials design strategies to realise the ultrafast molecular and ionic permeation, and the ultrahigh selectivities observed in biological cell membranes. This new cross-disciplinary research will benefit Australia by the development of new materials for accelerating renewable hydrogen and biofuel futures, and enabling sustainable production of energy materials.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
Towards equity in crash protection. Women are at increased relative risk for death and serious injury in motor vehicle crashes compared to men and the reasons for this are not clear. This Fellowship aims to build a new model that describes the mechanistic pathways for this inequity to identify where and how intervention could reduce this relative risk. This will establish what population groups have good and poor access to the best vehicle safety technologies, the differences, and what might cau ....Towards equity in crash protection. Women are at increased relative risk for death and serious injury in motor vehicle crashes compared to men and the reasons for this are not clear. This Fellowship aims to build a new model that describes the mechanistic pathways for this inequity to identify where and how intervention could reduce this relative risk. This will establish what population groups have good and poor access to the best vehicle safety technologies, the differences, and what might cause these differences in the benefits of vehicle safety technology between women and men. The outcomes will be of use to academics, policy makers and industry designing to new ways to protect women in crashes and close this gender gap.Read moreRead less
Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expe ....Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.Read moreRead less