Alternative Title
Dynamic Defect Detection in AM Parts using FEA Simulation
Abstract
The goal of this paper is to evaluate internal defects in additively manufactured (AM) parts using FEA simulation. The resonant frequencies of parts are determined by the stiffness and mass involved in the mode shape at each resonant frequency. Voids in AM parts will change the stiffness and mass therefore shift the resonant frequencies from nominal. This paper will investigate the use of FEA to determine how much a void size, shape, and location will change the resonant frequencies. Along with where the optimal input and response locations are in order to find these frequency changes. The AM part evaluated in this work includes a common tensile bar and hammer shaped part evaluated individually and as a set of parts that are still attached to the build plate.
Meeting Name
30th Annual International Solid Freeform Fabrication Symposium -- An Additive Manufacturing Conference, SFF 2019 (2019: Aug. 12-14, Austin, TX)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for Research in Energy and Environment (CREE)
Document Type
Article - Conference proceedings
Document Version
Final Version
Publication Date
8-14-2019
Publication Date
14 Aug 2019
Citation Information
Kevin Johnson, Aimee Allen, Jason R. Blough, Andrew Barnard, et al.. "Dynamic Defect Detection in Additively Manufactured Parts using FEA Simulation"
Proceedings of the 30th Annual International Solid Freeform Fabrication Symposium (2019, Austin, TX) (2019) p. 1281 - 1296
Available at: http://works.bepress.com/douglas-bristow/87/
This work was funded by the Department of Energy’s Kansas City National Security Campus which is operated and managed by Honeywell Federal Manufacturing Technologies, LLC under contract number DE-NA0002839.