1-20 of 20
Ho Yeung
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Identification and Interpretation of Melt Pool Shapes in Laser Powder Bed Fusion with Machine Learning

Matthew M. Sato, Vivian W. H. Wong, Ho Yeung, Paul Witherell, Kincho H. Law
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. May 2024, 8(1): 1–23.
Paper No: SSMS20230035
https://doi.org/10.1520/SSMS20230035
Published Online: April 10, 2024
View Article titled, Identification and Interpretation of Melt Pool Shapes in Laser Powder Bed Fusion with Machine Learning
Open the PDF for Identification and Interpretation of Melt Pool Shapes in Laser Powder Bed Fusion with Machine Learning in another window
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
Open the PDF for Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing in another window
Topics: Data fusion, Geometry, Melting, Additive manufacturing, Lasers, Simulation, Quality management
Proceedings Papers

Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Paul Witherell
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A054, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-109137
https://doi.org/10.1115/DETC2023-109137
View Paper titled, Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning
Open the PDF for Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning in another window
Topics: Additive manufacturing, Artificial intelligence, Artificial neural networks, Lasers, Manufacturing, Machine learning, Shapes, Decision making, Machinery, Metals
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
Open the PDF for Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing in another window
Topics: Additive manufacturing, Data fusion, Metal powders, Quality management
Proceedings Papers

Methods for Mapping Empirical Data to Authoritative Definitions for Additive Manufacturing Part Validation

Fahad Ali Milaat, Paul Witherell, Martin Hardwick, Ho Yeung
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A084, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116710
https://doi.org/10.1115/DETC2023-116710
View Paper titled, Methods for Mapping Empirical Data to Authoritative Definitions for Additive Manufacturing Part Validation
Open the PDF for Methods for Mapping Empirical Data to Authoritative Definitions for Additive Manufacturing Part Validation in another window
Topics: Additive manufacturing, Manufacturing, Digital twin, Inspection, Dimensions, Geometric dimensioning and tolerancing, Geometry, Information models, Microscale devices, Modeling
Proceedings Papers

Application of Digital Twins to Laser Powder Bed Fusion Additive Manufacturing Process Control

Ho Yeung, Felix Kim, Alkan Donmez
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A032, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105627
https://doi.org/10.1115/MSEC2023-105627
View Paper titled, Application of Digital Twins to Laser Powder Bed Fusion Additive Manufacturing Process Control
Open the PDF for Application of Digital Twins to Laser Powder Bed Fusion Additive Manufacturing Process Control in another window
Topics: Additive manufacturing, Digital twin, Lasers, Process control, Machine learning, Artificial intelligence, Construction, Manufacturing, Optimization, Physics
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
Open the PDF for A Multi-Modal Data-Driven Decision Fusion Method for Process Monitoring in Metal Powder Bed Fusion Additive Manufacturing in another window
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
Open the PDF for Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods in another window
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
Open the PDF for Using Coaxial Melt Pool Monitoring Images to Estimate Cooling Rate for Powder Bed Fusion Additive Manufacturing in another window
Topics: Additive manufacturing, Cooling
Proceedings Papers

STEP-NC Compliant Data Representations for Powder Bed Fusion in Additive Manufacturing

Fahad Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A017, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90673
https://doi.org/10.1115/DETC2022-90673
View Paper titled, STEP-NC Compliant Data Representations for Powder Bed Fusion in Additive Manufacturing
Open the PDF for STEP-NC Compliant Data Representations for Powder Bed Fusion in Additive Manufacturing in another window
Topics: Additive manufacturing, Manufacturing, Geometry, Bridges (Structures), Machining, Modeling, Production planning, Simulation results
Journal Articles

STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

Fahad Ali Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060904.
Paper No: JCISE-22-1142
https://doi.org/10.1115/1.4055855
Published Online: October 20, 2022
View Article titled, STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing
Open the PDF for STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing in another window
Topics: Additive manufacturing, Manufacturing, Production planning, Simulation, Geometry, Modeling, Machinery, Lasers
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
Open the PDF for Hybrid Modeling of Melt Pool Geometry in Additive Manufacturing Using Neural Networks in another window
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
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
Open the PDF for Camera-Based Coaxial Melt Pool Monitoring Data Registration for Laser Powder Bed Fusion Additive Manufacturing in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8410
https://doi.org/10.1115/MSEC2020-8410
View Paper titled, Effects of Shield Gas Flow on Meltpool Variability and Signature in Scanned Laser Melting
Open the PDF for Effects of Shield Gas Flow on Meltpool Variability and Signature in Scanned Laser Melting in another window
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
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
Open the PDF for 3D Build Melt Pool Predictive Modeling for Powder Bed Fusion Additive Manufacturing in another window
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
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
Open the PDF for From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method in another window
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
Open the PDF for From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method in another window
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
Publisher: ASME
Article Type: Research-Article
J. Tribol. January 2016, 138(1): 012201.
Paper No: TRIB-15-1131
https://doi.org/10.1115/1.4031140
Published Online: August 31, 2015
View Article titled, Effect of Low-Frequency Modulation on Deformation and Material Flow in Cutting of Metals
Open the PDF for Effect of Low-Frequency Modulation on Deformation and Material Flow in Cutting of Metals in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-4040
https://doi.org/10.1115/MSEC2014-4040
View Paper titled, A Comparative Study of Energy and Material Flow in Modulation-Assisted Machining and Conventional Machining
Open the PDF for A Comparative Study of Energy and Material Flow in Modulation-Assisted Machining and Conventional Machining in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2013-1068
https://doi.org/10.1115/MSEC2013-1068
View Paper titled, Mechanics of Modulation Assisted Machining
Open the PDF for Mechanics of Modulation Assisted Machining in another window
Topics: Machining, Alloys, Energy dissipation, Force measurement