Sensor fusion of pyrometry and acoustic measurements for localized keyhole pore identification in laser powder bed fusion
JR Tempelman, AJ Wachtor, EB Flynn… - Journal of Materials …, 2022 - Elsevier
In-situ process monitoring as an aid to part qualification for laser powder-bed fusion (L-PBF)
technology is a topic of increasing interest to the additive manufacturing community. In this …
technology is a topic of increasing interest to the additive manufacturing community. In this …
Detection of keyhole pore formations in laser powder-bed fusion using acoustic process monitoring measurements
In-situ process monitoring of additively manufactured parts has become a topic of increasing
interest to the manufacturing community. In this work, acoustic measurements recorded …
interest to the manufacturing community. In this work, acoustic measurements recorded …
Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning
In this work we accomplished the monitoring and prediction of porosity in laser powder bed
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …
Localized keyhole pore prediction during laser powder bed fusion via multimodal process monitoring and X-ray radiography
Systematic fault detection and control during laser powder bed fusion (L-PBF) has been a
long-standing objective for system manufacturers and researchers in the additive …
long-standing objective for system manufacturers and researchers in the additive …
Detecting keyhole pore defects and monitoring process signatures during laser powder bed fusion: A correlation between in situ pyrometry and ex situ X-ray …
Creation of pores and defects during laser powder bed fusion (LPBF) can lead to poor
mechanical properties and thus must be minimized. Post-build inspection is required to …
mechanical properties and thus must be minimized. Post-build inspection is required to …
Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing
Finding actionable trends in laser-based metal additive manufacturing process monitoring
data is challenging owing to the diversity and complexity of the underlying physical …
data is challenging owing to the diversity and complexity of the underlying physical …
[HTML][HTML] Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning
Abstract Metal-based Laser Powder Bed Fusion (LPBF) has made fabricating intricate
components easier. Yet, assessing part quality is inefficient, relying on costly Computed …
components easier. Yet, assessing part quality is inefficient, relying on costly Computed …
Uncovering acoustic signatures of pore formation in laser powder bed fusion
We present a machine learning workflow to discover signatures in acoustic measurements
that can be utilized to create a low-dimensional model to accurately predict the location of …
that can be utilized to create a low-dimensional model to accurately predict the location of …
Assessment of optical emission analysis for in-process monitoring of powder bed fusion additive manufacturing
Developing methods which allow real-time monitoring of powder bed fusion (PBF) additive
manufacturing (AM) processes is key to enabling in situ assessments of build quality (eg …
manufacturing (AM) processes is key to enabling in situ assessments of build quality (eg …
[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …
assurance, and for increasing machine uptime and reliability. Though still in the emergent …