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Journal Articles

Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing

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Jaehyuk Kim, Zhuo Yang, Yan Lu, Gi Suk Hong
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. July 2025, 25(7): 071006.
Paper No: JCISE-24-1415
https://doi.org/10.1115/1.4068323
Published Online: April 23, 2025
View Articletitled, Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Laser powder bed fusion, Plumes (Fluid dynamics), Shapes, Machine learning, Selective laser melting, Dimensions, Metals, Monitoring systems
Journal Articles

Special Issue: Large Language Models in Design and Manufacturing

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Yaoyao Fiona Zhao, Evangelos Niforatos, Tonya Custis, Yan Lu, Jianxi Luo
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 020301.
Paper No: JCISE-24-1611
https://doi.org/10.1115/1.4067319
Published Online: January 17, 2025
View Articletitled, Special Issue: Large Language Models in Design and Manufacturing
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Topics: Design, Large language models, Manufacturing
Proceedings Papers

Surface Roughness Repeatability Analysis for Multi-Build Overhang Parts in Powder Bed Fusion Additive Manufacturing

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Zhuo Yang, Gi Suk Hong, Yan Lu, Chun-Chun Hu, Haw-Ching Yang, Brandon Lane
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A039, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-146348
https://doi.org/10.1115/DETC2024-146348
View Paper titled, Surface Roughness Repeatability Analysis for Multi-Build Overhang Parts in Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Surface roughness
Proceedings Papers

Self-Supervised Multi-Label Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing

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Jaehyuk Kim, Zhuo Yang, Yan Lu, Gisuk Hong
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A022, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-139383
https://doi.org/10.1115/DETC2024-139383
View Paper titled, Self-Supervised Multi-Label Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Feedback, Lasers, Machine learning, Manufacturing, Mechanical properties, Metals, Model development, Monitoring systems, Plumes (Fluid dynamics)
Proceedings Papers

Knowledge Extraction in Additive Manufacturing: a Formal Concept Analysis Approach

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Yande Ndiaye, Mario Lezoche, Herve Panetto, Yan Lu, Zhuo Yang
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A009, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-146374
https://doi.org/10.1115/DETC2024-146374
View Paper titled, Knowledge Extraction in Additive Manufacturing: a Formal Concept Analysis Approach
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Topics: Additive manufacturing, Lasers
Proceedings Papers

Towards Reproducible Machine Learning-Based Process Monitoring and Quality Prediction Research for Additive Manufacturing

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Jiarui Xie, Mutahar Safdar, Andrei Mircea Romascanu, Yan Lu, Hyunwoong Ko, Zhuo Yang, Yaoyao Fiona Zhao
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A033, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-144461
https://doi.org/10.1115/DETC2024-144461
View Paper titled, Towards Reproducible Machine Learning-Based Process Monitoring and Quality Prediction Research for Additive Manufacturing
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Topics: Additive manufacturing, Machine learning, Machinery, Process monitoring
Proceedings Papers

Multi-Scale Model Predictive Control for Laser Powder Bed Fusion Additive Manufacturing

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Gisuk Hong, Jaehyuk Kim, Zhuo Yang, Yan Lu, Brandon Lane, Ho Yeung
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A018, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143601
https://doi.org/10.1115/DETC2024-143601
View Paper titled, Multi-Scale Model Predictive Control for Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Lasers, Predictive control
Proceedings Papers

Measuring Overhang Down-Skin Dross Depth and the Inter-Dependency on Melt Pool for Laser Powder Bed Fusion Additive Manufacturing

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Zhuo Yang, Jaehyuk Kim, Brandon Lane, Yan Lu
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A020, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-124322
https://doi.org/10.1115/MSEC2024-124322
View Paper titled, Measuring Overhang Down-Skin Dross Depth and the Inter-Dependency on Melt Pool for Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Lasers, Skin, Melting, Computerized tomography, Geometry
Proceedings Papers

Pyramid Learning Based Part-to-Part Consistency Analysis in Laser Powder Bed Fusion

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Erfan Ziad, Feng Ju, Zhuo Yang, Yan Lu
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A024, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-124538
https://doi.org/10.1115/MSEC2024-124538
View Paper titled, Pyramid Learning Based Part-to-Part Consistency Analysis in Laser Powder Bed Fusion
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Topics: Additive manufacturing, Computerized tomography, Lasers, Machine learning
Journal Articles

Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

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Siqi Zhang, Hui Yang, Zhuo Yang, Yan Lu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101002.
Paper No: JCISE-23-1574
https://doi.org/10.1115/1.4066026
Published Online: August 6, 2024
View Articletitled, Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring
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Topics: Additive manufacturing, Deep learning, Density, Dynamics (Mechanics), Manufacturing, Modeling, Spatiotemporal phenomena, Process monitoring, Lasers, Quality control
Journal Articles

Investigation on the Influence of the Condenser Length and Its Coupling Effect With Elevation on the Performance of Loop Heat Pipe

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Xue Zhou, Suzheng Zheng, Nanxi Li, Bingyao Lin, De Chen, Zhenhua Jiang, Yan Lu
Journal: Journal of Thermal Science and Engineering Applications
Publisher: ASME
Article Type: Research Papers
J. Thermal Sci. Eng. Appl. June 2024, 16(6): 061008.
Paper No: TSEA-23-1355
https://doi.org/10.1115/1.4065130
Published Online: April 16, 2024
View Articletitled, Investigation on the Influence of the Condenser Length and Its Coupling Effect With Elevation on the Performance of Loop Heat Pipe
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Topics: Condensers (steam plant), Heat, Stress, Temperature, Heat pipes
Journal Articles

Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition

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Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051010.
Paper No: JCISE-23-1358
https://doi.org/10.1115/1.4065090
Published Online: April 1, 2024
View Articletitled, Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
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Topics: Additive manufacturing, Knowledge transfer, Machine learning, Lasers, Metals
Journal Articles

Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing

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Zhuo Yang, Jaehyuk Kim, Yan Lu, Albert Jones, Paul Witherell, Ho Yeung, Hyunwoong Ko
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051007.
Paper No: JCISE-23-1373
https://doi.org/10.1115/1.4064528
Published Online: March 5, 2024
View Articletitled, Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing
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Topics: Data fusion, Geometry, Melting, Additive manufacturing, Lasers, Simulation, Quality management
Proceedings Papers

Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition

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Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A078, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116458
https://doi.org/10.1115/DETC2023-116458
View Paper titled, Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
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Topics: Additive manufacturing, Knowledge transfer
Proceedings Papers

Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing

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Zhuo Yang, Jaehyuk Kim, Yan Lu, Albert Jones, Paul Witherell, Ho Yeung, Hyunwoong Ko
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A043, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116524
https://doi.org/10.1115/DETC2023-116524
View Paper titled, Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Data fusion, Metal powders, Quality management
Proceedings Papers

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

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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
Publisher: American Society of Mechanical Engineers
Paper No: IAM2022-96740
https://doi.org/10.1115/IAM2022-96740
View Paper titled, A Multi-Modal Data-Driven Decision Fusion Method for Process Monitoring in Metal Powder Bed Fusion Additive Manufacturing
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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

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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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89934
https://doi.org/10.1115/DETC2022-89934
View Paper titled, Using Coaxial Melt Pool Monitoring Images to Estimate Cooling Rate for Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Cooling
Proceedings Papers

In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing

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Milica Perisic, Yan Lu, Albert Jones
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A074, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91034
https://doi.org/10.1115/DETC2022-91034
View Paper titled, In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Data fusion, Lasers, Real-time control, Computer-aided design, Economics , Manufacturing, Sensors
Proceedings Papers

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

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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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91021
https://doi.org/10.1115/DETC2022-91021
View Paper titled, Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing
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Topics: Additive manufacturing, Lasers, Modeling
Journal Articles

Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing

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Byeong-Min Roh, Soundar R. T. Kumara, Hui Yang, Timothy W. Simpson, Paul Witherell, Albert T. Jones, Yan Lu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060905.
Paper No: JCISE-22-1143
https://doi.org/10.1115/1.4055853
Published Online: October 27, 2022
View Articletitled, Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing
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Topics: Ontologies, Sensors