HomeEducationDoctorate (PhD & EngD)For current candidatesPhD infoUpcoming public defencesFULLY DIGITAL - NO PUBLIC : PhD Defence Amin Zaami | Development of fast local analysis tool for optimized laser assisted tape winding

FULLY DIGITAL - NO PUBLIC : PhD Defence Amin Zaami | Development of fast local analysis tool for optimized laser assisted tape winding

Development of fast local analysis tool for optimized laser assisted tape winding

Due to the COVID-19 crisis measures the PhD defence of Amin Zaami will take place online. 

The PhD defence can be followed by a live stream.

Amin Zaami is a PhD student in the research group Production Technology (PT). His supervisor is prof.dr.ir. R. Akkerman from the Faculty of Engineering Technology.

Continuous fiber reinforced thermoplastic (FRTP) lightweight composite products have become more and more popular for many engineering applications. Laser-assisted tape winding and placement processes (LATW and LATP) are some of the promising manufacturing techniques to produce advanced thermoplastic composite components. A fully automated single step manufacturing can be achieved in LATW and LATP processes when the FRTP prepreg tapes are consolidated “in situ”, which can reduce the production costs and eliminate post consolidation or curing steps. Despite the advantages of these manufacturing techniques, it is a difficult task to predict and control the process temperature which is driven by the laser irradiation, the reflections, the local tooling geometry and the process parameters. It is vital to thoroughly analyze the process temperature, which is critical for the resulting part properties and performance. The focus in this thesis is on the winding of pipes and pressure vessels made of FRTP composites. The performed research was a part of the EU funded  ambliFibre project with an ambition of developing a model-based in-line process control for LATW processes. The long term objective of this thesis is to achieve a robust LATW process by compensating the variability in the manufacturing process resulting in repetitive and predictable part properties and performance. The work presented in this thesis takes the first steps towards the long term objective by developing the key building blocks.