Using Design of Experiments in Finite Element Modeling to Identify Critical Variables in Laser Powder Bed Fusion

Published

August 11, 2016

Author(s)

Li Ma, Jeffrey T. Fong, Brandon Lane, Shawn P. Moylan, James J. Filliben, N. Alan Heckert, Lyle E. Levine

Abstract

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.

Conference Dates

August 10-12, 2015

Conference Location

Austin, TX, US

Conference Title

2015 Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference

Pub Type

Conferences

Download Paper

Local Download

Citation

Ma, L. , Fong, J. , Lane, B. , Moylan, S. , Filliben, J. , Heckert, N. and Levine, L. (2016), 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 April 19, 2024)