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Zhuo Yang
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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
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

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
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
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
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
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
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
Article Type: Research Papers
Publisher: ASME
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
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
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
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
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
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
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
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
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
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
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
Journal Articles

Thermal-Hydraulic Performance and Optimization of Tube Ellipticity in a Plate Fin-And-Tube Heat Exchanger

Hua Zhu, Zhuo Yang, Tariq Amin Khan, Wei Li, Zhijian Sun, Jincai Du, Zhengjiang Zhang, Jianxin Zhou
Journal: Journal of Electronic Packaging
Article Type: Research-Article
J. Electron. Packag. September 2019, 141(3): 031008.
Paper No: EP-18-1108
https://doi.org/10.1115/1.4043482
Published Online: May 17, 2019
View Article titled, Thermal-Hydraulic Performance and Optimization of Tube Ellipticity in a Plate Fin-And-Tube Heat Exchanger
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Topics: Artificial neural networks, Computational fluid dynamics, Computer simulation, Flow (Dynamics), Heat exchangers, Heat transfer, Optimization, Friction, Reynolds number, Genetic algorithms
Proceedings Papers

Thermal-Hydraulic Performance and Optimization of Tube Ellipticity in a Plate Fin-and-Tube Heat Exchanger

Zhuo Yang, Tariq Amin Khan, Wei Li, Hua Zhu, Zhijian Sun, Zhengjiang Zhang, Jincai Du, Jianxin Zhou
Proc. ASME. InterPACK2018, ASME 2018 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems, V001T04A022, August 27–30, 2018
Paper No: IPACK2018-8448
https://doi.org/10.1115/IPACK2018-8448
View Paper titled, Thermal-Hydraulic Performance and Optimization of Tube Ellipticity in a Plate Fin-and-Tube Heat Exchanger
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Topics: Heat exchangers, Optimization, Artificial neural networks, Flow (Dynamics), Reynolds number, Friction, Pressure drop, Computational fluid dynamics, Computer simulation, Design
Proceedings Papers

A Super-Metamodeling Framework to Optimize System Predictability

Zhuo Yang, Douglas Eddy, Sundar Krishnamurty, Ian Grosse, Yan Lu
Proc. ASME. IDETC-CIE2018, Volume 1A: 38th Computers and Information in Engineering Conference, V01AT02A009, August 26–29, 2018
Paper No: DETC2018-86055
https://doi.org/10.1115/DETC2018-86055
View Paper titled, A Super-Metamodeling Framework to Optimize System Predictability
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Topics: Additive manufacturing, Artificial neural networks, Composite materials, Design, Engineering systems and industry applications, Errors, Manufacturing, Optimization, Polynomials
Proceedings Papers

Self-Improving Additive Manufacturing Knowledge Management

Yan Lu, Zhuo Yang, Douglas Eddy, Sundar Krishnamurty
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A016, August 26–29, 2018
Paper No: DETC2018-85996
https://doi.org/10.1115/DETC2018-85996
View Paper titled, Self-Improving Additive Manufacturing Knowledge Management
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Topics: Additive manufacturing, Knowledge management, Design, Computer software, Decision making, Optimization, Process control, Product development, Simulation, Workflow
Proceedings Papers

Investigating Grey-Box Modeling for Predictive Analytics in Smart Manufacturing

Zhuo Yang, Douglas Eddy, Sundar Krishnamurty, Ian Grosse, Peter Denno, Yan Lu, Paul Witherell
Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A024, August 6–9, 2017
Paper No: DETC2017-67794
https://doi.org/10.1115/DETC2017-67794
View Paper titled, Investigating Grey-Box Modeling for Predictive Analytics in Smart Manufacturing
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Topics: Manufacturing, Modeling, Additive manufacturing, Errors, Simulation