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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

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

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 Article titled, 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

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 Article 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, Machine learning, Lasers, Metals
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

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

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

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

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

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

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

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

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 Article titled, Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing
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Topics: Ontologies, Sensors
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
Journal Articles

Special Issue: Highlights of CIE 2021

Marina Carulli, Seung-Kyum Choi, Tsz Ho Kwok, Yan Lu, Mahesh Mani, Paul Witherell
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 030301.
Paper No: JCISE-22-1090
https://doi.org/10.1115/1.4054201
Published Online: April 29, 2022
View Article titled, Special Issue: Highlights of CIE 2021
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Topics: Computer software, Computer-aided engineering, Computers, Computers and information in engineering , Cyber-physical systems, Design, Design engineering, Geometric modeling, Haptics, Hardware
Journal Articles

Thick Si-Doped DLC Coatings With High Load Bearing Capacity on Cold Working Tool Steels by PECVD

Xinyu Wang, Xudong Sui, Shuaituo Zhang, Mingming Yan, Yan Lu, Junying Hao
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. July 2022, 144(7): 071401.
Paper No: TRIB-21-1421
https://doi.org/10.1115/1.4053191
Published Online: January 11, 2022
View Article titled, Thick Si-Doped DLC Coatings With High Load Bearing Capacity on Cold Working Tool Steels by PECVD
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Topics: Coatings, Tool steel, Work hardening, Wear, Stress, Flow (Dynamics), Tribology, Plasma-enhanced chemical vapor deposition
Proceedings Papers

Flow Image Compression Using Wavelets

Hui Li, Yan Lu, Masahiro Takei, Mitsuaki Ochi, Yoshifuru Saito, Kiyoshi Horii
Proc. ASME. IMECE99, Fluids Engineering, 33-38, November 14–19, 1999
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1999-1212
https://doi.org/10.1115/IMECE1999-1212
View Paper titled, Flow Image Compression Using Wavelets
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Topics: Compression, Flow (Dynamics), Wavelets, Turbulence, Image processing, Storage
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

In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing

Byeong-Min Roh, Soundar R. T. Kumara, Hui Yang, Timothy W. Simpson, Paul Witherell, Yan Lu
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A069, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70035
https://doi.org/10.1115/DETC2021-70035
View Paper titled, In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing
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Topics: Additive manufacturing, Metals, Ontologies, Quality management, Sensors