About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
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Symposium
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Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
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Presentation Title |
In Situ Confocal Imaging and Quantification of Defects in Binder-Jet Printed (BJP) Steel Parts |
Author(s) |
Pooja Maurya, P.Chris Pistorius |
On-Site Speaker (Planned) |
Pooja Maurya |
Abstract Scope |
The structural integrity of BJP steel parts is determined by defects like porosity/oxide inclusions. Sintering being the critical step for improving its mechanical strength, any in situ diagnostic tool to monitor it obviously helps. In the present work, Confocal Laser Scanning Microscopy (CLSM) integrated with dew point controller is utilized to monitor and understand evolution of porosities and oxide inclusions in 316L BJP parts during high temperature sintering (~1380℃). The real time imaging from a particular focal plane, with high sensitivity to the variation in its topographic features, along with control of sintering atmosphere effectively controls the process integrity. Influence of critical parameters like sintering temperature, duration and environmental conditions (Ar + H2) on surface properties like porosity and oxide inclusions will be comprehensively analyzed. The use of machine learning to co-relate the in-situ CSLM images with actual analysis (optical microscopy) helps in quantifying the strength of the printed part. |