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Published on: July 12, 2016
Geometry and Surface Feature Evaluation in E-PBF Process Using In-Operando Electron Emission Signal.
Abdulaziz Alfaifi1, Omer A Alshammery1, Toan D Truong1
1Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA.
In situ electron emission signals during electron beam powder bed fusion (E-PBF) can accurately reconstruct part geometry and surface topography. This method shows potential for real-time quality control in additive manufacturing.
Area of Science:
- Materials Science
- Additive Manufacturing
- Process Monitoring
Background:
- Electron beam powder bed fusion (E-PBF) necessitates robust in situ process monitoring.
- Electron emission signals are a promising, yet underexplored, method for real-time feedback.
- Previous research often relied on post-processing or separate scans, questioning in-melt signal utility.
Purpose of the Study:
- To evaluate the in-operando electron emission signal for reconstructing geometric and topographical features during E-PBF.
- To assess the signal's capability for real-time monitoring of complex part features.
- To compare in-operando signal reconstruction with established ground truth methods.
Main Methods:
- Recorded in-operando electron emission signals during spot-melting of Ti-6Al-4V spur gears.
- Utilized optical microscopy and profilometry as ground truth for geometric and topographical data.
- Applied a melt-pool dilation correction to account for thermal expansion effects.
Main Results:
- Achieved agreement deviation below 2.2% for geometric features after correction, comparable to post-melt imaging.
- Demonstrated strong correlation (Pearson 0.67-0.87) between electron emission signals and surface topography height profiles.
- Confirmed that the signal captures both geometric boundaries and meaningful surface variations.
Conclusions:
- The in-operando electron emission signal is highly effective for in situ geometric and topographical assessment in E-PBF.
- This technique offers significant potential for integration into closed-loop additive manufacturing quality control systems.
- Supports the use of real-time electron emission data for monitoring complex part fabrication.
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