Browsing by Subject "Multivariate Adaptive Regression Splines"
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Item Prediction of Porosity in SLM Parts Using a MARS Statistical Model and Bayesian Inference(University of Texas at Austin, 2015) Tapia, G.; Elwany, A.H.Predictive models that establish a linkage between process parameters and part properties have been identified as a high priority research need in Additive Manufacturing. We work with a Multivariate Adaptive Regression Splines (MARS) statistical model to predict the porosity of parts produced using Selective Laser Melting (SLM) process as a function of process parameters. The proposed predictive model is validated through a case study on 17-4 PH stainless steel test coupons manufactured on a ProX 100 SLM system.