Artificial Intelligence in Additive Manufacturing with Machine Learning Longevity of ۳DPrinted Parts

By applying machine learning classification models to a set of data obtained from the fatigue test of۳D printed parts, the life of the parts and the improvement of process components were investigated. Somemodels were implemented on fatigue test data and their accuracy was measured against accuracy criteria.

کلیدواژه ها:

۳D Printing ، Design for Additive Manufacturing ، Optimization ، Machine Learning ، Artificial Intelligence