MTL member Manolis Stathatos successfully defends his PhD Thesis
MTL member Manolis Stathatos successfully defends his PhD Thesis
MTL member Manolis Stathatos has successfully defended his PhD thesis titled “Optimisation of selective laser sintering and melting process (SLS/SLM) based on numerical simulation and machine learning”.
The novel contributions of his work can be summarized as:
- A numerical finite element thermal model (Parent) for predicting temperature range and final material density in SLS / SLM, optimized for efficient production of large volumes of training data.
- An ANN metamodel for long random trajectories (> 100 m) based on an original descriptor with memory and a repetitive fed scheme of parallel simulations in whole trajectories, achieving simulation times shorter than the actual SLS/SLM processing time.
- A Power Model (ANN) that implements an adaptive control law, designed for parallel application on the whole power profile along the trajectory, achieving an extremely smooth temperature front after a small number of repetitions.
Two excellent papers have already been published from this work and a third one is under evaluation.
Congratulations!