Praniewicz, M.
, Ameta, G.
, Fox, J.
and Saldana, C.
(2021),
Data registration for multi-method qualification of additive manufactured components, Additive Manufacturing, [online], https://doi.org/10.1016/j.addma.2020.101292, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928502
(Accessed October 6, 2024)
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Data registration for multi-method qualification of additive manufactured components
Published
Author(s)
, , , Christopher Saldana
Abstract
This work explores impact of refined surface registrations of voxel and point cloud data sets on accuracy of multi-method qualification of additively manufactured (AM) lattices. Voxel and point cloud sets of an AM lattice were aligned using derived geometry datums based on a theoretical supplemental surface definition, which has been established in recent draft standards, but has yet had limited examination using complex AM structures. A refined sampling registration approach for lattice geometry based on spatially-dependent subsampling is derived and shown to statistically decrease variation between measurement sources. This importance of well-defined sampling practice and definition is highlighted. The applicability of this approach for multi-method qualification of complex AM parts is discussed. This work lays the foundation of utilizing specifications under consideration in a new standard with possible verification techniques that can be employed.Citation
Additive Manufacturing
Volume
35
Pub Type
Journals
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Created August 25, 2021, Updated October 14, 2021