Research under this area is focussed on the digitalisation of manufacturing, with the aim of improving productivity and reducing costs. The latest developments in Artificial Intelligence (AI) will be integrated into materials processing and manufacturing. Bespoke digital tools will be developed to support process challenges such time series data analysis, anomaly detection, image analysis and real-time closed-loop control.
The research will bring together a wide range of manufacturing decision information and sensor data streams into interactive support tools that maintain human-centric decision making, supported by AI-based recommendations. The challenge is to rapidly sort, simplify, visualise and interpret manufacturing data to produce actionable insights, enabling operators, technicians and engineers to make better informed decisions.
Projects under this a theme include:
- Streaming analytics and anomaly detection for multi-resolution, multi-format sensor extreme data
- Application of AI with code surrogates for human-in-the-loop optimisation
- Development of AI tools for improved sustainability in manufacturing
- Development of software tools and recommender systems to aid in acceleration of manufacturing process optimisation.
