has been cited by the following article(s):
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[1]
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Investigation of industrial die-cast Al-alloys using X-ray micro-computed tomography and machine learning approach for CT segmentation
Production Engineering,
2023
DOI:10.1007/s11740-022-01147-6
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[2]
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Investigation of industrial die-cast Al-alloys using X-ray micro-computed tomography and machine learning approach for CT segmentation
Production Engineering,
2022
DOI:10.1007/s11740-022-01147-6
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[3]
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X-Ray CT
2021
DOI:10.1007/978-981-16-0590-1_4
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[4]
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X-Ray CT
2021
DOI:10.1007/978-981-16-0590-1_4
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[5]
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Micro-computed tomography to analyze industrial die-cast Al-alloys and examine impregnation polymer resin as a casting cavity sealant
Production Engineering,
2021
DOI:10.1007/s11740-021-01071-1
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[6]
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X-ray computed tomography to investigate industrial cast Al-alloys
Production Engineering,
2020
DOI:10.1007/s11740-019-00946-8
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[7]
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An improved physics model for multi-material identification in photon counting CT
Medical Imaging 2019: Physics of Medical Imaging,
2019
DOI:10.1117/12.2512525
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[8]
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Mechanical behavior enhancement of AZ31/WS2 and AZ61/WS2 magnesium metal matrix nanocomposites
Advances in Mechanical Engineering,
2018
DOI:10.1177/1687814017753442
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[9]
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Measurement of effective atomic numbers using energy-resolved computed tomography
Journal of Nuclear Science and Technology,
2014
DOI:10.1080/00223131.2014.919881
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