Elucidating the mechanics of facet dislocation and fracture in the neck. This project aims to address shortcomings in understanding the mechanics of neck trauma. Understanding the mechanical factors leading to cervical facet dislocation and fracture is necessary to improve injury prevention strategies and their assessment. This project expects to generate new knowledge in the area of spinal injury biomechanics, developing and using new experimental techniques. The project expects to provide know ....Elucidating the mechanics of facet dislocation and fracture in the neck. This project aims to address shortcomings in understanding the mechanics of neck trauma. Understanding the mechanical factors leading to cervical facet dislocation and fracture is necessary to improve injury prevention strategies and their assessment. This project expects to generate new knowledge in the area of spinal injury biomechanics, developing and using new experimental techniques. The project expects to provide knowledge necessary to improve crash test dummy design, associated injury criteria, and computational models, which provide the potential for improved injury prevention measures and methods for assessing existing and new technologies. The anticipated benefits of this project will be significant in reducing the personal and economic burden of spinal injuries.Read moreRead less
A new energy absorption system for brain injury mitigation. This research aims to propose and investigate a next generation high-energy absorbing helmet pad that will protect the Australian Defence Force soldiers against both ballistic and blast threats. New fundamental knowledge in the area of high-energy absorbing metamaterials will be obtained by using numerical modelling and experimental studies. The expected outcomes of the project include the development of a new wearable energy absorbing ....A new energy absorption system for brain injury mitigation. This research aims to propose and investigate a next generation high-energy absorbing helmet pad that will protect the Australian Defence Force soldiers against both ballistic and blast threats. New fundamental knowledge in the area of high-energy absorbing metamaterials will be obtained by using numerical modelling and experimental studies. The expected outcomes of the project include the development of a new wearable energy absorbing pad which can be used as the next generation combat helmet liners and accessories. The novel high-performance energy absorption system will have a wide range of direct applications in future personal armour, as well as sports gears and elderly healthcare products.Read moreRead less
Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characteris ....Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characterising whole joint systems. This project will provide significant knowledge gain on the biomechanical regulation of human joints across form, function, dynamics and loading which may help across many facets of society to guide physical activity choices.Read moreRead less
How do mechanics, neural drive and muscle architecture interact in muscles? This project will determine how an individual person’s muscle activity, muscle structure and mechanical properties, and the local mechanical conditions around the muscle interact as muscles move and deform, by using experiments and personalised computational models that can examine these factors and their interactions concurrently. To achieve this, we will develop novel magnetic resonance imaging methods to measure the m ....How do mechanics, neural drive and muscle architecture interact in muscles? This project will determine how an individual person’s muscle activity, muscle structure and mechanical properties, and the local mechanical conditions around the muscle interact as muscles move and deform, by using experiments and personalised computational models that can examine these factors and their interactions concurrently. To achieve this, we will develop novel magnetic resonance imaging methods to measure the mechanical properties of muscles in humans and methods for modelling muscles. As well as answering fundamental scientific questions about muscle function, these new techniques will provide a platform for studying other muscles, and for future development of muscle training methods and technologies to optimise muscle function.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101683
Funder
Australian Research Council
Funding Amount
$448,354.00
Summary
Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, ....Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, and uncertainty in a nondeterministic context. The study is expected to establish novel design methodologies for ceramic AM with process modelling, robust/reliable optimisation, and fracture-based design. It will provide ceramic industry with a new framework for biomedical, aerospace and mechanical applications.Read moreRead less
Replicating the cartilage micromechanical environment. Through a novel, image-guided mechanical evaluation of cell- and tissue-level remodelling, this project aims to unlock new insights into the complex mechanical microenvironment of cartilage and directly influence new strategies in tissue engineering. The research will reveal contributions of cells and extracellular matrix components to mechanical integrity over time. It will build a world-first strain map of the cartilage microenvironment an ....Replicating the cartilage micromechanical environment. Through a novel, image-guided mechanical evaluation of cell- and tissue-level remodelling, this project aims to unlock new insights into the complex mechanical microenvironment of cartilage and directly influence new strategies in tissue engineering. The research will reveal contributions of cells and extracellular matrix components to mechanical integrity over time. It will build a world-first strain map of the cartilage microenvironment and quantification of dynamic structural remodelling that occurs, providing key targets to improve tissue engineering strategies. The project will also drive innovation in micromechanical testing technology, deliver functional solutions in mechanobiology and advance materials for biological integration.Read moreRead less
Prediction of inertial particle focusing in curved microfluidic ducts. This project aims to develop mathematical models to predict migration of particles suspended in flow through curved microfluidic ducts and their focusing by size to different regions in the cross-section of the duct. New knowledge in mathematics and engineering will be generated through models that capture the two-way force balance between fluid and particles and by a novel use of asymptotics for computational efficiency. Exp ....Prediction of inertial particle focusing in curved microfluidic ducts. This project aims to develop mathematical models to predict migration of particles suspended in flow through curved microfluidic ducts and their focusing by size to different regions in the cross-section of the duct. New knowledge in mathematics and engineering will be generated through models that capture the two-way force balance between fluid and particles and by a novel use of asymptotics for computational efficiency. Expected outcomes are understanding of the physics that drives particle migration and the parameters that may be used to control particle focusing. This will benefit design and operation of microfluidic devices for particle sorting as required for "liquid biopsy", the isolation of cancer cells in a routine blood sample.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
A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on health ....A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on healthy spinal disc cells. We expect our technological framework to become an invaluable tool for biomedical engineers, biologists, and bio-engineers to work together and generate clinically relevant in-vitro data that supports optimisation for spinal implant design, fabrication, and safety. 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