Abstract: Various embodiments include a system having: a computing device configured to model deformation in a set of manufactured components by: forming a pre-exposure statistical distribution of measured coordinates describing the set of manufactured components from a pre-exposure three-dimensional (3D) depiction of a first sample of the manufactured component, and forming a post-exposure statistical distribution of measured coordinates describing the set of manufactured components from a post-exposure 3D depiction of a second sample of the manufactured component; calculating a difference between parameters of the pre-exposure statistical distribution and parameters of the post-exposure statistical distribution; and adjusting an expected deformation model for the set of manufactured components based upon the difference between parameters of the pre-exposure statistical distribution and the post-exposure statistical distribution, to model the deformation of the manufactured component.

Abstract: Various embodiments include a system having: a computing device configured to detect deformation in a manufactured component by: obtaining a post-deployment three-dimensional (3D) depiction of the manufactured component; obtaining a model of the manufactured component including: a nominal shape model indicating a nominal shape of the manufactured component prior to operational deployment, and an expected deformation model indicating expected deformation of the manufactured component after operational deployment; aligning a localized region of the manufactured component in the post-deployment 3D depiction with the localized region of the manufactured component in the nominal shape model; identifying a first set of points in the localized region not subject to deformation between the post-deployment 3D depiction and the nominal shape model; and identifying a second set of points in the localized region subject to deformation between the post-deployment 3D depiction and the nominal shape model.