“Machine Learning Approach for Recognizing Operating States and Predicting Compressive Properties of 3D-Printed Parts”

https://pubmed.ncbi.nlm.nih.gov/38116211

This study developed a machine learning approach to recognize the operating states and predict the compressive properties of 3D-printed parts based on sensors monitoring the filament feeder’s vibration and current, ensuring quality in high-value scenarios without further quality control.