FURI | Spring 2023

Data Analysis and Modeling for Additive Manufacturing

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This research aims at conducting a comprehensive data analysis to extract all the useful information for building a practical model and to excavate the relationship of additive manufacturing with powder. With this model, users can input their manufacturing setting to output the estimated probability of satisfying the criteria so as to improve additive manufacturing. For further research on this project, researchers recommend training this model with more user manufacture data and make the prediction model more precise.

Student researcher

Zhengbin Chen

Engineering (robotics)

Hometown: Dongguan, Guangdong, China

Graduation date: Spring 2024