Diploma and Master Thesis

Use of neural networks to determine the impact of the process conditions of 3D printed materials on their mechanical properties

3D printed products are increasingly found in more demanding industries, such as: medicine, space technology, aerospace industry, etc. It is known that the manufacturing bowls can significantly influence the structure of the polymeric material and, consequently, its mechanical properties. The goal of the task is to determine the link between the production parameters (print speed, print temperature, cooling rate and substrate temperature) depending on the production parameters using neural networks. The required knowledge of neural networks is given to the candidate during the course of the task.

Contact person: Assist. Prof. PhD. Lidija Slemenik Perše

Webpage of the laboratory: http://web.fs.uni-lj.si/cem/

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