A Novel Framework of Developing a Predictive Model for Powder Bed Fusion Process.

ABSTRACT: The powder bed fusion (PBF) process is a metal additive manufacturing process, which can build parts with any complexity from a wide range of metallic materials. PBF process research has predominantly focused on the impact of only a few parameters on product properties due to the lack of a systematic approach for predictive modeling of a large set of process parameters simultaneously. The pivotal challenges regarding this process require a quantitative approach for mapping the material properties and process parameters onto the ultimate quality; this will then enable the optimization of those parameters. In this study, we propose a two-phase framework for studying the process parameters and developing a predictive model for 316L stainless steel material. We also discuss the correlation bet

SUBMITTER: Marrey M 

PROVIDER: S-EPMC10880639 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature