Using Design of Experiments in Finite Element Modeling to Identify Critical Variables in Laser Powder Bed Fusion
Li Ma, Jeffrey T. Fong, Brandon Lane, Shawn P. Moylan, James J. Filliben, N. Alan Heckert, Lyle E. Levine
In Laser Powder Bed Fusion (L-PBF) Finite Element Analysis (FEA), input of accurate material and simulation parameters is critical for accurate predictions. It is challenging and expensive to measure and control all possible material properties and process parameters. In this research, we developed a 3D thermal L-PBF FEA model for a single track laser scan on one layer of metal powder above a solid metal substrate. We applied a design of experiments approach which varied simulation parameters to identify critical variables in L-PBF. Design of experiments provides an exploratory tool for examining a large number of factors and alternative modeling approaches, and the determination of which of the approaches can best predict AM process performance.
August 10-12, 2015
Austin, TX, US
2015 Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference
, Fong, J.
, Lane, B.
, Moylan, S.
, Filliben, J.
, Heckert, N.
and Levine, L.
Using Design of Experiments in Finite Element Modeling to Identify Critical Variables in Laser Powder Bed Fusion, 2015 Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, TX, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=919064
(Accessed December 11, 2023)