ProPere | Promotion funding

Project content
The technical objective of the doctoral project is to adapt the non-destructive measurement method laser flash analysis (LFA) to additive manufacturing processes. The combination of active thermography to localise manufacturing problems and the evaluation of the collected temperature-over-time data to quantitatively determine the thermal resistance should result in a threshold value that enables in-situ process control, especially in additive manufacturing (AM). This requires the development of front-side LFA, as the classic measurement method is not possible for installation in state-of-the-art AM systems. Due to the high thermal dynamics of the cooling melts, it can be assumed that analytical front-side LFA models with static parameter assumptions are unsuitable for determining the thermal resistance of the multilayer components. Here, the evaluation range is to be extended using machine learning.