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Jaehyuk Kim
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Proceedings Papers

A Multi-Modal Data-Driven Decision Fusion Method for Process Monitoring in Metal Powder Bed Fusion Additive Manufacturing

Zhuo Yang, Jaehyuk Kim, Yan Lu, Ho Yeung, Brandon Lane, Albert Jones, Yande Ndiaye
Proc. ASME. IAM2022, 2022 International Additive Manufacturing Conference, V001T02A012, October 19–20, 2022
Paper No: IAM2022-96740
DOI: https://doi.org/10.1115/IAM2022-96740
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Topics: Additive manufacturing, Data fusion, Metal powders, Process monitoring
Proceedings Papers

Using Coaxial Melt Pool Monitoring Images to Estimate Cooling Rate for Powder Bed Fusion Additive Manufacturing

Zhuo Yang, Brandon Lane, Yan Lu, Ho Yeung, Jaehyuk Kim, Yande Ndiaye, Sundar Krishnamurty
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A016, August 14–17, 2022
Paper No: DETC2022-89934
DOI: https://doi.org/10.1115/DETC2022-89934
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Topics: Additive manufacturing, Cooling
Proceedings Papers

Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing

Hyunwoong Ko, Jaehyuk Kim, Yan Lu, Dongmin Shin, Zhuo Yang, Yosep Oh
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A019, August 14–17, 2022
Paper No: DETC2022-91021
DOI: https://doi.org/10.1115/DETC2022-91021
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Topics: Additive manufacturing, Lasers, Modeling
Proceedings Papers

Camera-Based Coaxial Melt Pool Monitoring Data Registration for Laser Powder Bed Fusion Additive Manufacturing

Yan Lu, Zhuo Yang, Jaehyuk Kim, Hyunbo Cho, Ho Yeung
Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A045, November 16–19, 2020
Paper No: IMECE2020-24546
DOI: https://doi.org/10.1115/IMECE2020-24546
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Topics: Additive manufacturing, Lasers, Flaw detection, Machine learning, Real-time control, Resolution (Optics), Uncertainty