In-situ monitoring of sub-surface and internal defects in additive manufacturing: A review
Y AbouelNour, N Gupta - Materials & Design, 2022 - Elsevier
Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …
set of optimized process parameters to create a component. Monitoring and control of AM …
Top ten intelligent algorithms towards smart manufacturing
Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …
Machine learning–aided real-time detection of keyhole pore generation in laser powder bed fusion
Porosity defects are currently a major factor that hinders the widespread adoption of laser-
based metal additive manufacturing technologies. One common porosity occurs when an …
based metal additive manufacturing technologies. One common porosity occurs when an …
In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning
Cracks and keyhole pores are detrimental defects in alloys produced by laser directed
energy deposition (LDED). Laser-material interaction sound may hold information about …
energy deposition (LDED). Laser-material interaction sound may hold information about …
[HTML][HTML] Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography …
Harnessing the full potential of the metal-based Laser Powder Bed Fusion process (LPBF)
relies heavily on how effectively the overall reliability and stability of the manufactured part …
relies heavily on how effectively the overall reliability and stability of the manufactured part …
Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition
Early detection of defects, such as keyhole pores and cracks is crucial in laser-directed
energy deposition (L-DED) additive manufacturing (AM) to prevent build failures. However …
energy deposition (L-DED) additive manufacturing (AM) to prevent build failures. However …
On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review
Laser powder bed fusion (LPBF) is one class of metal additive manufacturing (AM) used to
fabricate high-quality complex-shape components. This technology has significantly …
fabricate high-quality complex-shape components. This technology has significantly …
[HTML][HTML] Key enabling technologies for smart factory in automotive industry: status and applications
J Lee, PC Chua, L Chen, PHN Ng, Y Kim… - International Journal of …, 2023 - ijpem-st.org
In line with the unpredictable variety of demands and acceleration into the electric vehicle
era, automakers have efforted on smart factories utilizing new manufacturing platforms with …
era, automakers have efforted on smart factories utilizing new manufacturing platforms with …
Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing
SS Babu, AHI Mourad, KH Harib… - Virtual and Physical …, 2023 - Taylor & Francis
The application of three-dimensional (3D) printing/Additive Manufacturing (AM) for
developing multi-functional smart/intelligent composite materials is a highly promising area …
developing multi-functional smart/intelligent composite materials is a highly promising area …
[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 …