Expertise

• Process monitoring of composite materials manufacturing
• Dielectric sensors analysis and design
• Material characterization
• Computational modelling

Biography

After receiving a M.Eng. degree in Electrical and Computer Science Engineering from Aristotle University of Thessaloniki in 2015, Athanasios started a PhD addressing the online process monitoring of composite materials manufacturing. His PhD project involved the development of a flexible dielectric sensor for the flow monitoring of infusion processes and it was co-sponsored by the Centre of Doctoral Training in Embedded Intelligence of Loughborough University and TWI Ltd.

He received a Ph.D. degree in Aeronautical and Automotive Engineering from Loughborough University, UK in 2020 and later he joined the Brunel Composite Centre of Brunel University of London as a Postdoctoral Research Fellow. During his research fellowship he worked in European and UK collaborative projects related to the composite manufacturing processes and the composite hybrid joints for the electromagnetic compatibility.

He is currently a postdoctoral researcher at the Aerospace Manufacturing Technologies department in the faculty of Aerospace Engineering of TU Delft and his research interest focus on the development of innovative solutions for the digitalization of composite materials processing and manufacturing. In particular, he is working on the development of a numerical model for the pultrusion process under the supervision of Bariș Çağlar and Clemens Dransfeld.

Projects

• Design of innovative composite hybrid joints with electromagnetic compatibility. A sizing tool that calculates the electrical, thermal and mechanical behaviour of dissimilar joints under lightning strike conditions. H2020/Grant agreement ID: 887042, April 2020 – Expected December 2022
• Flexible RTM tool with automated distortion correction. Develop the next generation RTM tooling that can be easily adjusted to account for part spring back effect using a novel distortion compensation capability based on actively changing the mould shape. H2020/Grant agreement ID: 821488, September 2018 – August 2021
• High Performance pultrusion for advanced composites (HIPPAC). High performance pultrusion process based on digital twin, process monitoring and Non Destructive Techniques (NDT). Innovate UK/Grant agreement ID: 105797, January 2020 – June 2021
• Simulation tool development for a composite manufacturing process default prediction integrated into a quality control system. A unified integrated simulation tool combining predictive modelling, variability propagation and monitoring for a pilot RTM process. H2020/Grant agreement ID: 686493, January 2016 – April 2019

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