Selection of additive manufacturing process parameters by using ANOVA and regression analysis
The importance of additive manufacturing is increasing in day-to-day industrial applications due to its versatile uses. Process parameter selection is a tedious trial-and-error task. Supervised machine learning helps researchers use decision models to predict process parameters based on existing process data. The datas...