Keene, Lionel | Search NASA

DOE OSTI2023

Integrating extended reality with inspection systems

An extended reality (“XR”) inspection system for inspecting a target is provided. The XR inspection system includes an inspection system and an XR device. The inspection system includes an inspection main unit and an inspection probe. The inspection main unit collects inspection data from the inspection probe, receives commands input by an inspector using the XR device, performs functions associated with the commands, and sends display data to the XR device. The XR device provides an augmented reality display and sensors. The XR device displays display data received from the inspection main unit, receives commands via the sensors from the inspector, and sends the commands to the inspection main unit.

Keene, Lionel↗

DOE OSTI2023

A combination interferometric and morphological image processing approach to rapid quality assessment of additively manufactured cellular truss core components

Advanced manufacturing (AM) processes such as laser powder bed fusion (LPBF) are increasingly capable of fabricating components with useful and unprecedented mechanical properties by incorporating complex internal bracing structures. From the standpoint of quality control and assessment, however, internally complex assemblies present significant build-verification challenges. Here we propose a hybrid approach to the inspection involving the application of computer-aided speckle interferometry (CASI) and morphological image processing as a rapid, inexpensive, and facile method for AM quality control. The described methodology has low capital equipment costs, is full-field and non-contact, can be used in an industrial setting, and has very low requirements in terms of operator training and expertise. Consisting primarily of the combination of image processing software with a simple optical system of variable sensitivity, the method is shown to be effective for inspection of a titanium honeycomb component subjected to differential pressure. Results are compared to those achieved with computed tomography (CT), immersion ultrasound testing (UT), and optical holographic interferometry. Here we propose several possible processing strategies for automated quality assessment based on this powerful hybrid approach.

36 MATERIALS SCIENCE↗