Comparative analysis and experimental validation of statistical and machine learning-based regressors for modeling the surface roughness and mechanical properties of 316L stainless steel specimens produced by selective laser melting

Author:

La Fé-Perdomo Iván,Ramos-Grez Jorge A.,Jeria Ignacio,Guerra Carolina,Barrionuevo Germán Omar

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference76 articles.

1. Selective laser melting: lessons from medical devices industry and other applications;La Fé-Perdomo;Rapid PrototypJ,2021

2. Prediction of lack of fusion porosity in selective laser melting based on melt pool monitoring data;Coeck;Addit Manuf,2019

3. Process dependent porosity and the influence of shot peening on porosity morphology regarding selective laser melted AlSi10Mg parts;Damon;Addit Manuf,2018

4. Effects of hot isostatic pressing and internal porosity on the performance of selective laser melted AlSi10Mg alloys;Hirata;Mater Sci Eng A,2020

5. Reducing porosity at the starting layers above supporting bars of the parts made by selective laser melting;Pal;Powder Technol,2019

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