Enabling ambient intelligence for manufacturing processes through distributed camera networks. This project will develop methods to optimise and schedule networks of smart and traditional cameras in a manufacturing environment, enabling knowledge capture, manage performance and identify causes of quality degradation. This research will assist Australian manufacturers to stay competitive in the dynamic global market.
Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision ....Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision and structural mechanics. The expected outcomes are technologies for automation-friendly assessment of these joints. This should benefit industries from medical to electronics to automatically spot a random and delicate abnormality within a solid of complex geometry, such as that in live tissue or an electronic circuit.Read moreRead less
Modelling the cutting process and cutting performance in high-speed abrasive waterjet turning. This project will have a significant impact for the manufacturing industry by providing a new abrasive waterjet turning technology for producing highly reliable products from advanced, but difficult-to-machine, materials. It will also develop into a new branch of science by understanding the mechanics associated with the new turning process.