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Proceedings Papers

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

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

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

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 Article titled, 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

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

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 Article titled, 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

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

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

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

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A070, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88313
https://doi.org/10.1115/DETC2022-88313
View Paper titled, Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods
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Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes
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
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

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
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

Additive Manufacturing In Situ and Ex Situ Geometric Data Registration

Shaw C. Feng, Yan Lu, Albert T. Jones, Zhuo Yang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061003.
Paper No: JCISE-21-1184
https://doi.org/10.1115/1.4054202
Published Online: May 10, 2022
View Article titled, Additive Manufacturing In Situ and Ex Situ Geometric Data Registration
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Topics: Additive manufacturing, Lasers, Image registration, Three-dimensional models
Proceedings Papers

Hybrid Modeling of Melt Pool Geometry in Additive Manufacturing Using Neural Networks

Kevontrez Jones, Zhuo Yang, Ho Yeung, Paul Witherell, Yan Lu
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A031, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71266
https://doi.org/10.1115/DETC2021-71266
View Paper titled, Hybrid Modeling of Melt Pool Geometry in Additive Manufacturing Using Neural Networks
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Topics: Additive manufacturing, Artificial neural networks, Finite element methods, Geometry, Modeling
Proceedings Papers

In-Process Data Fusion for Process Monitoring and Control of Metal Additive Manufacturing

Zhuo Yang, Yan Lu, Simin Li, Jennifer Li, Yande Ndiaye, Hui Yang, Sundar Krishnamurty
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A072, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71813
https://doi.org/10.1115/DETC2021-71813
View Paper titled, In-Process Data Fusion for Process Monitoring and Control of Metal Additive Manufacturing
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Topics: Additive manufacturing, Data fusion, Metals, Process control, Process monitoring
Proceedings Papers

Prediction of Melt Pool Geometry Using Deep Neural Networks

Fahad Ali Milaat, Zhuo Yang, Hyunwoong Ko, Albert T. Jones
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A037, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69259
https://doi.org/10.1115/DETC2021-69259
View Paper titled, Prediction of Melt Pool Geometry Using Deep Neural Networks
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Topics: Artificial neural networks, Geometry, Modeling
Journal Articles

Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Tesfaye Moges, Zhuo Yang, Kevontrez Jones, Shaw Feng, Paul Witherell, Yan Lu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050902.
Paper No: JCISE-20-1259
https://doi.org/10.1115/1.4050044
Published Online: May 12, 2021
View Article titled, Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing
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Topics: Lasers, Modeling, Physics, Simulation, Computational fluid dynamics, Errors, Additive manufacturing, Polynomials
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-24546
https://doi.org/10.1115/IMECE2020-24546
View Paper titled, Camera-Based Coaxial Melt Pool Monitoring Data Registration for Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Lasers, Flaw detection, Machine learning, Real-time control, Resolution (Optics), Uncertainty
Proceedings Papers

Hybrid Modeling Approach for Melt Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Tesfaye Moges, Zhuo Yang, Kevontrez Jones, Shaw Feng, Paul Witherell, Yan Lu
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A028, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22615
https://doi.org/10.1115/DETC2020-22615
View Paper titled, Hybrid Modeling Approach for Melt Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Lasers, Modeling
Proceedings Papers

3D Build Melt Pool Predictive Modeling for Powder Bed Fusion Additive Manufacturing

Zhuo Yang, Yan Lu, Ho Yeung, Sundar Kirshnamurty
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A046, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22662
https://doi.org/10.1115/DETC2020-22662
View Paper titled, 3D Build Melt Pool Predictive Modeling for Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Modeling
Proceedings Papers

Experimental Study on the Thermal-Hydraulic Performance of Louvered Fin and Flat Tube Heat Exchangers

Tariq Amin Khan, Wei Li, Yan Xiaolong, Zhuo Yang
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T09A009, July 13–15, 2020
Publisher: American Society of Mechanical Engineers
Paper No: HT2020-8990
https://doi.org/10.1115/HT2020-8990
View Paper titled, Experimental Study on the Thermal-Hydraulic Performance of Louvered Fin and Flat Tube Heat Exchangers
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Topics: Heat exchangers, Fins, Heat transfer, Pressure drop, Condensers (steam plant), Automotive industry, Cooling, Test facilities, Testing performance
Journal Articles

From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method

Zhuo Yang, Yan Lu, Ho Yeung, Sundar Krishnamurty
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051001.
Paper No: JCISE-19-1292
https://doi.org/10.1115/1.4046335
Published Online: April 21, 2020
View Article titled, From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method
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Topics: Additive manufacturing, Density, Lasers, Modeling
Proceedings Papers

From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method

Zhuo Yang, Lu Yan, Ho Yeung, Sundar Krishnamurty
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A010, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98215
https://doi.org/10.1115/DETC2019-98215
View Paper titled, From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method
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Topics: Modeling, Construction, Errors, Optimization, Process control