About the project
This project develops advanced AI tools to detect hidden defects in advanced manufactured components using X-ray CT imaging. It combines machine learning, 3D imaging, and manufacturing science to create automated inspection systems that improve product reliability, reduce human error, and support the future of intelligent, high-value manufacturing industries.
Engineering components produced using advanced manufacturing techniques, including metal additive manufacturing, require rigorous inspection to ensure they have been manufactured correctly and are free from defects that could lead to premature failure. X-ray computed tomography (X-ray CT) enables non-destructive 3D imaging of both surface and sub-surface defects within complex components. However, current defect analysis methods typically rely on rule-based image processing approaches with numerous user-defined parameters, making measurement results highly dependent on operator experience and potentially leading to critical defects being overlooked.
This project develops advanced 3D AI algorithms for automated defect detection and characterisation in X-ray CT datasets of advanced manufactured components. The research focuses on creating robust and reliable AI-driven approaches capable of identifying, classifying, and quantifying defects with minimal human intervention. The outcome will be a fully automated inspection pipeline that improves measurement consistency, enhances defect detection capability, and supports next-generation quality assurance in advanced manufacturing.
The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
