Martin Selorm Gamesu is a PhD candidate in the Mechanical Engineering Department at the University of Kentucky, where he also serves as a research assistant with the Institute for Research and Technological Development (IR4TD). He holds a Master's degree in Engineering from Southern University and A&M College in Baton Rouge, LA, and a Bachelor's degree in Mechanical Engineering from Kwame Nkrumah University of Science and Technology.
Martin has gained diverse experience having worked in roles including teaching assistant and research assistant. His research expertise encompasses modeling heat transfer using Computational Fluid Dynamics (CFD) software, Additive Manufacturing, and Machine Learning.
Martin's PhD Research
Martin's research aims to improve the accuracy of thermal data collection during 3D printing by utilizing infrared thermography to monitor the varying temperatures of the hotend. To interpret the infrared data, we leverage machine learning tools and integrate OpenCV with deep learning techniques such as Mask R-CNN to effectively track regions of interest (ROI). This precise temperature monitoring is essential for evaluating part quality during the printing process. Following the thermal analysis, we apply Iterative Closest Point (ICP) techniques to measure the shrinkage of the printed parts, linking this deformation to the temperatures previously collected. Finally, we perform numerical modeling using Finite Element Methods (FEM) in Ansys and Fenics to simulate the effects of temperature and process parameters on part shrinkage, providing a comprehensive understanding of how thermal variations influence the final part accuracy. This integrated approach allows us to contribute to advancements in 3D printing and additive manufacturing.