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Computational Process Modeling for Additive ManufacturingComputational Process and Material Modeling of Powder Bed additive manufacturing of IN 718. Optimize material build parameters with reduced time and cost through modeling. Increase understanding of build properties. Increase reliability of builds. Decrease time to adoption of process for critical hardware. Potential to decrease post-build heat treatments. Conduct single-track and coupon builds at various build parameters. Record build parameter information and QM Meltpool data. Refine Applied Optimization powder bed AM process model using data. Report thermal modeling results. Conduct metallography of build samples. Calibrate STK models using metallography findings. Run STK models using AO thermal profiles and report STK modeling results. Validate modeling with additional build. Photodiode Intensity measurements highly linear with power input. Melt Pool Intensity highly correlated to Melt Pool Size. Melt Pool size and intensity increase with power. Applied Optimization will use data to develop powder bed additive manufacturing process model.
Document ID
20140004262
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Bagg, Stacey
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Zhang, Wei
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Date Acquired
April 30, 2014
Publication Date
January 27, 2014
Subject Category
Engineering (General)
Report/Patent Number
M14-3210
Meeting Information
Meeting: NSF I/UCRC Center for Integrative Materials Joining Science for Energy Applications (Industry Advisory Board Meeting)
Location: Cleveland, OH
Country: United States
Start Date: January 27, 2014
Sponsors: National Science Foundation
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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