About this Abstract |
Meeting |
2021 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2021)
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Symposium
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Poster Session
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Presentation Title |
Detecting Hidden Process Anomalies Causing Defects Using In-situ Process Monitoring |
Author(s) |
Jonathan Ciero, Sabrina D'Alesandro, Dylan Christman, Kyle Ryan, Shuchi “SK” Khurana, Christopher Barrett, Thomas Spears, Joy Gockel |
On-Site Speaker (Planned) |
Jonathan Ciero |
Abstract Scope |
Processing anomalies in laser powder bed fusion additive manufacturing have the potential to produce defects in the fabricated material that are detrimental to the mechanical performance. The use of in-situ process monitoring can detect where these anomalies occur. In-situ monitoring provides the ability to detect off-nominal process behavior that can be used support qualification and certification of AM parts. Three different in-situ sensors were used to collect data over a laser powder bed fusion build of Alloy 718. The build was created with hidden processing anomalies at various layers throughout the build height. These anomalies are created through strategic changes in different processing parameters for single and multiple layers before returning to nominal conditions. Analysis of the process monitoring data was used to find the anomalous locations and the parts are characterized to determine the impact on the defect structure within the material. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |