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[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
Machine learning in industrial X-ray computed tomography–a review
X-ray computed tomography (XCT) has been shown to be a reliable tool for quality
inspection, material evaluation, and dimensional measurement tasks across diverse …
inspection, material evaluation, and dimensional measurement tasks across diverse …
Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials
Y Hirabayashi, H Iga, H Ogawa, S Tokuta… - npj Computational …, 2024 - nature.com
The microstructure is a critical factor governing the functionality of ceramic materials.
Meanwhile, microstructural analysis of electron microscopy images of polycrystalline …
Meanwhile, microstructural analysis of electron microscopy images of polycrystalline …
[HTML][HTML] Machine learning driven instance segmentation providing new porosity insights into wire arc directed energy deposited Ti-22V-4Al
Non-destructive x-ray methods such as micro-computed tomography (micro-CT) are useful
for investigating porosity defects in additively manufactured products. Understanding the …
for investigating porosity defects in additively manufactured products. Understanding the …
Advances in the metrological traceability and performance of X-ray computed tomography
X-ray computed tomography (XCT) is increasingly being used for evaluating quality and
conformance of complex products, including assemblies and additively manufactured parts …
conformance of complex products, including assemblies and additively manufactured parts …
Deep learning-based image segmentation for defect detection in additive manufacturing: An overview
Additive manufacturing (AM) applications are rapidly expanding across multiple domains
and are not limited to prototy** purposes. However, achieving flawless parts in medical …
and are not limited to prototy** purposes. However, achieving flawless parts in medical …
A method for melt pool state monitoring in laser-based direct energy deposition based on DenseNet
J Yuan, H Liu, W Liu, F Wang, S Peng - Measurement, 2022 - Elsevier
Detecting and classifying the melt pool states in laser-based direct energy deposition (L-
DED) is crucial for reducing defects and enhancing the mechanical properties of L-DED …
DED) is crucial for reducing defects and enhancing the mechanical properties of L-DED …
Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study
Defect detection in laser powder bed fusion (LPBF) parts is a critical step for in their quality
control. Ensuring the integrity of these parts is essential for a broader adoption of this …
control. Ensuring the integrity of these parts is essential for a broader adoption of this …
[HTML][HTML] Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts
Laser sintering is evolving towards a genuine manufacturing technique for volume
production and mass customized products. However, variability in part quality has to be …
production and mass customized products. However, variability in part quality has to be …
[HTML][HTML] Deep learning based porosity prediction for additively manufactured laser powder-bed fusion parts
Abstract Machine learning techniques are extensively used to understand and predict
complex non-linear phenomena across various applications. Moreover, these techniques …
complex non-linear phenomena across various applications. Moreover, these techniques …