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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
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
Paper No: DETC2022-89934
DOI: 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
Paper No: DETC2022-91034
DOI: 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
Paper No: DETC2022-91021
DOI: 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
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060905.
Paper No: JCISE-22-1143
DOI: 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
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061003.
Paper No: JCISE-21-1184
DOI: 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
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 030301.
Paper No: JCISE-22-1090
DOI: 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
Article Type: Research Papers
J. Tribol. July 2022, 144(7): 071401.
Paper No: TRIB-21-1421
DOI: 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
Paper No: IMECE1999-1212
DOI: 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
Paper No: DETC2021-71266
DOI: 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
DOI: 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
Paper No: DETC2021-70035
DOI: 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
Proceedings Papers

Key Element Analysis and Suggestion for Strengthen the Quality Management of Nuclear Power Plant Fasteners

Yan Lu, Ligong Ling, Yu Xu, Chen Gao
Proc. ASME. ICONE28, Volume 1: Operating Plant Challenges, Successes, and Lessons Learned; Nuclear Plant Engineering; Advanced Reactors and Fusion; Small Modular and Micro-Reactors Technologies and Applications, V001T01A003, August 4–6, 2021
Paper No: ICONE28-64142
DOI: https://doi.org/10.1115/ICONE28-64142
View Paper titled, Key Element Analysis and Suggestion for Strengthen the Quality Management of Nuclear Power Plant Fasteners
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Topics: Fasteners, Inspection, Nuclear industry, Nuclear power stations, Quality control, Quality management
Proceedings Papers

Study on the Applicability of Typical Valve Failure Data to Non-Reactor Nuclear Fuel Cycle Front-End Facilities

Dan Lyu, Xiao-wei Yang, Yan Lu, Shi-jun Wang, Chun-yan Xu
Proc. ASME. ICONE28, Volume 2: Nuclear Fuels, Research, and Fuel Cycle; Nuclear Codes and Standards; Thermal-Hydraulics, V002T05A005, August 4–6, 2021
Paper No: ICONE28-63354
DOI: https://doi.org/10.1115/ICONE28-63354
View Paper titled, Study on the Applicability of Typical Valve Failure Data to Non-Reactor Nuclear Fuel Cycle Front-End Facilities
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Topics: Failure, Failure data, Nuclear fuel cycle, Valves
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
DOI: 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
Journal Articles

Effects of Pulmonary Fibrosis and Surface Tension on Alveolar Sac Mechanics in Diffuse Alveolar Damage

Long Chen, Weiwei Tao, Wei Ji, Yan Lu, Xia Zhao
Journal: Journal of Biomechanical Engineering
Article Type: Research-Article
J Biomech Eng. August 2021, 143(8): 081013.
Paper No: BIO-20-1519
DOI: https://doi.org/10.1115/1.4050789
Published Online: May 6, 2021
View Article titled, Effects of Pulmonary Fibrosis and Surface Tension on Alveolar Sac Mechanics in Diffuse Alveolar Damage
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Topics: Biological tissues, Damage, Fluid structure interaction, Lung, Surface tension, Flow (Dynamics), Surfactants, Air flow, Pressure
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
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

Meta-Data for In-Situ Monitoring of Laser Powder Bed Fusion Processes

Shaw C. Feng, Yan Lu, Albert T. Jones
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A026, September 3, 2020
Paper No: MSEC2020-8344
DOI: https://doi.org/10.1115/MSEC2020-8344
View Paper titled, Meta-Data for In-Situ Monitoring of Laser Powder Bed Fusion Processes
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Topics: Lasers, Sensors, Additive manufacturing, Machinery, Storage
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
DOI: 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

Measured Data Alignments for Monitoring Metal Additive Manufacturing Processes Using Laser Powder Bed Fusion Methods

Shaw C. Feng, Yan Lu, Albert T. Jones
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A022, August 17–19, 2020
Paper No: DETC2020-22478
DOI: https://doi.org/10.1115/DETC2020-22478
View Paper titled, Measured Data Alignments for Monitoring Metal Additive Manufacturing Processes Using Laser Powder Bed Fusion Methods
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Topics: Additive manufacturing, Lasers, Metals, Computer-aided design, Computerized tomography, Data fusion, Manufacturing systems, Materials properties, Metrology, Photogrammetry