| About this Abstract | 
   
    | Meeting | 2025 TMS Annual Meeting & Exhibition | 
   
    | Symposium | Novel Strategies for Rapid Acquisition and Processing of Large Datasets from Advanced Characterization Techniques | 
   
    | Presentation Title | Rapid Data-Driven Non-Destructive Inspection of Additively Manufactured IN718 Using the Side-Band Peak Counting (SPC) Non-Linear Ultrasonics Method | 
   
    | Author(s) | I-Ting  Ho, Krishna   Muralidharan, Sammy  Tin, Devin  Richard  Bayly, Pierre  Deymier, Tribikram   Kundu | 
   
    | On-Site Speaker (Planned) | I-Ting  Ho | 
   
    | Abstract Scope | In this investigation, we employ the sideband peak counting (SPC) method to inspect additively manufactured Inconel 718 (IN718) parts. Using a broadband signal to interrogate the IN718 components, we quantified the acoustic spectral response of the parts via a unique index namely the SPC-Index (SPC-I). Validated by microfocus X-ray computed tomography (XCT), the variation in the SPC-I for the different components was found to directly correlate to the the behaviors of porosities within the IN718 parts. The findings unambiguously demonstrate that the variation in SPC-I could be an effective method to discern spatial distribution of the pores as well as pore-size distribution. In this regard, we put forth a data-driven framework driven by deep neural networks that integrates SPC-I with XCT towards new advanced quality control protocols for inspecting additively manufactured components. | 
   
    | Proceedings Inclusion? | Planned: | 
 
    | Keywords | Other, Other, Additive Manufacturing |