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

Journal Article · 12 February 2023 · International Journal of Advanced Manufacturing Technology

DOI: https://doi.org/10.1007/s00170-023-11054-4 · OSTI ID:1970216

Keene, Lionel ^[1]; Rogers, Brian ^[1]; Stobbe, David ^[1]; Lum, Jordan ^[1]; Tringe, Joseph ^[1]

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1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

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.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC52-07NA27344
• OSTI ID: 1970216
• Report Number(s): LLNL-JRNL-841969; {"Journal ID: ISSN 0268-3768",1061497}
• Journal Information: International Journal of Advanced Manufacturing Technology, Journal Name: International Journal of Advanced Manufacturing Technology Journal Issue: 11-12 Vol. 125; ISSN 0268-3768
• Publisher: SpringerCopyright Statement
• Country of Publication: United States
• Language: English