Zobrazeno 1 - 10 of 38 pro vyhledávání: '"Zhenyu 'James' Kong"'
1
Akademický článek
Sub-surface thermal measurement in additive manufacturing via machine learning-enabled high-resolution fiber optic sensing
Autor: Rongxuan Wang, Ruixuan Wang, Chaoran Dou, Shuo Yang, Raghav Gnanasambandam, Anbo Wang, Zhenyu (James) Kong
Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Microstructures of additively manufactured metal parts are crucial since they determine the mechanical properties. The evolution of the microstructures during layer-wise printing is complex due to continuous re-melting and reheating effects.
Externí odkaz: https://doaj.org/article/4e73c6a089f94db4bf52734c7427c81b
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2
Akademický článek
In situ melt pool measurements for laser powder bed fusion using multi sensing and correlation analysis
Autor: Rongxuan Wang, David Garcia, Rakesh R. Kamath, Chaoran Dou, Xiaohan Ma, Bo Shen, Hahn Choo, Kamel Fezzaa, Hang Z. Yu, Zhenyu (James) Kong
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Laser powder bed fusion is a promising technology for local deposition and microstructure control, but it suffers from defects such as delamination and porosity due to the lack of understanding of melt pool dynamics. To study the fundamental
Externí odkaz: https://doaj.org/article/d8c99b6be4d84748b99f9a3b5e969a02
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4
Akademický článek
Identifying the Early Signs of Preterm Birth from U.S. Birth Records Using Machine Learning Techniques
Autor: Alireza Ebrahimvandi, Niyousha Hosseinichimeh, Zhenyu James Kong
Publikováno v: Information, Vol 13, Iss 7, p 310 (2022)
Preterm birth (PTB) is the leading cause of infant mortality in the U.S. and globally. The goal of this study is to increase understanding of PTB risk factors that are present early in pregnancy by leveraging statistical and machine learning (ML) tec
Externí odkaz: https://doaj.org/article/d28f56dea5a84c41b86b998fac02fc52
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7
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing
Autor: Weijun Xie, Zhenyu James Kong, Bo Shen
Publikováno v: IEEE Transactions on Automation Science and Engineering. 18:1998-2010
The recent increase in applications of high-dimensional data poses a severe challenge to data analytics, such as supervised classification, particularly for online applications. To tackle this challenge, efficient and effective methods for feature ex
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6cbd0f13ec4cbaf63444b177d759ad77
https://doi.org/10.1109/tase.2020.3029028
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8
MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud
Autor: Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu (James) Kong, Xiaowei Yue
Publikováno v: Journal of Manufacturing Science and Engineering. 145
Surface defect identification is a crucial task in many manufacturing systems, including automotive, aircraft, steel rolling, and precast concrete. Although image-based surface defect identification methods have been proposed, these methods usually h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5122b209b9d9f8e445003e025d40b590
https://doi.org/10.1115/1.4056005
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