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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
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Topics: Additive manufacturing, Artificial neural networks, Finite element methods, Geometry, Modeling
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
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Topics: Additive manufacturing, Lasers, Flaw detection, Machine learning, Real-time control, Resolution (Optics), Uncertainty
Proceedings Papers

Effects of Shield Gas Flow on Meltpool Variability and Signature in Scanned Laser Melting

David C. Deisenroth, Jorge Neira, Jordan Weaver, Ho Yeung
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A017, September 3, 2020
Paper No: MSEC2020-8410
DOI: https://doi.org/10.1115/MSEC2020-8410
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Topics: Additive manufacturing, Condensed matter, Gas flow, Lasers, Melting, Metals, Process monitoring
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
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Topics: Additive manufacturing, Modeling
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
DOI: https://doi.org/10.1115/1.4046335
Published Online: April 21, 2020
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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
DOI: https://doi.org/10.1115/DETC2019-98215
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Topics: Modeling, Construction, Errors, Optimization, Process control
Journal Articles

Effect of Low-Frequency Modulation on Deformation and Material Flow in Cutting of Metals

Ho Yeung, Yang Guo, James B. Mann, W. Dale Compton, Srinivasan Chandrasekar
Journal: Journal of Tribology
Article Type: Research-Article
J. Tribol. January 2016, 138(1): 012201.
Paper No: TRIB-15-1131
DOI: https://doi.org/10.1115/1.4031140
Published Online: August 31, 2015
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Topics: Cutting, Deformation, Flow (Dynamics), Machining, Cycles, Metal cutting, Separation (Technology), Wear
Proceedings Papers

A Comparative Study of Energy and Material Flow in Modulation-Assisted Machining and Conventional Machining

Ho Yeung, Yang Guo, James B. Mann, W. Dale Compton, Srinivasan Chandrasekar
Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A001, June 9–13, 2014
Paper No: MSEC2014-4040
DOI: https://doi.org/10.1115/MSEC2014-4040
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Topics: Flow (Dynamics), Machining, Copper, Cutting, Deformation, Imaging, Metals, Resolution (Optics)
Proceedings Papers

Mechanics of Modulation Assisted Machining

Ho Yeung, Yang Guo, Narayan K. Sundaram, James B. Mann, W. Dale Compton, Srinivasan Chandrasekar
Proc. ASME. MSEC2013, Volume 1: Processing, V001T01A041, June 10–14, 2013
Paper No: MSEC2013-1068
DOI: https://doi.org/10.1115/MSEC2013-1068
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Topics: Machining, Alloys, Energy dissipation, Force measurement