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Kincho H. Law
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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
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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
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Topics: Additive manufacturing, Artificial intelligence, Artificial neural networks, Lasers, Manufacturing, Machine learning, Shapes, Decision making, Machinery, Metals
Journal Articles

Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning

Vivian Wen Hui Wong, Sang Hun Kim, Junyoung Park, Jinkyoo Park, Kincho H. Law
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. January 2024, 146(1): 011009.
Paper No: MANU-23-1290
https://doi.org/10.1115/1.4063652
Published Online: October 19, 2023
View Article titled, Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning
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Topics: Job-shop scheduling, Machine shops, Machinery, Reinforcement learning, Artificial neural networks, Probability
Includes: Supplementary data
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
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Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes
Journal Articles

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031005.
Paper No: JCISE-21-1266
https://doi.org/10.1115/1.4053078
Published Online: December 10, 2021
View Article titled, Segmentation of Additive Manufacturing Defects Using U-Net
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Topics: Additive manufacturing, Artificial neural networks, Image segmentation, Porosity, Computerized tomography, Shapes, Design
Proceedings Papers

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A029, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-68885
https://doi.org/10.1115/DETC2021-68885
View Paper titled, Segmentation of Additive Manufacturing Defects Using U-Net
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Topics: Additive manufacturing, Artificial neural networks, Image segmentation
Proceedings Papers

Towards a Formal Model of Version and Configuration Management for Collaborative Engineering

Karthik Krishnamurthy, Kincho H. Law
Proc. ASME. CIE94, ASME 1994 8th Annual Database Symposium, 21-32, September 11–14, 1994
Publisher: American Society of Mechanical Engineers
Paper No: EDM1994-0495
https://doi.org/10.1115/EDM1994-0495
View Paper titled, Towards a Formal Model of Version and Configuration Management for Collaborative Engineering
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Topics: Design, Engineering disciplines
Proceedings Papers

Version Management in a CAD Paradigm

Karthik Krishnamurthy, Kincho H. Law
Proc. ASME. CIE95, ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium, 1133-1144, September 17–20, 1995
Publisher: American Society of Mechanical Engineers
Paper No: EDM1995-0845
https://doi.org/10.1115/EDM1995-0845
View Paper titled, Version Management in a CAD Paradigm
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Topics: Computer-aided design, Design, Change management, Engineering design
Proceedings Papers

A Model for Software Interoperation in Engineering Enterprise Integration

Cameron T. Howie, Kincho H. Law, John C. Kunz
Proc. ASME. DETC97, Volume 6: 11th Engineering Information Management Conference, V006T33A014, September 14–17, 1997
Publisher: American Society of Mechanical Engineers
Paper No: DETC97/EIM-4503
https://doi.org/10.1115/DETC97/EIM-4503
View Paper titled, A Model for Software Interoperation in Engineering Enterprise Integration
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Topics: Computer software, Enterprise information management
Proceedings Papers

An Internet-Based Distributed Service Architecture

Charles S. Han, John C. Kunz, Kincho H. Law
Proc. ASME. DETC99, Volume 2: 19th Computers and Information in Engineering Conference, 701-708, September 12–16, 1999
Publisher: American Society of Mechanical Engineers
Paper No: DETC99/CIE-9077
https://doi.org/10.1115/DETC99/CIE-9077
View Paper titled, An Internet-Based Distributed Service Architecture
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Topics: Internet, Design, Building codes, Computer-aided design, Engineering prototypes, Path planning
Journal Articles

A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection

Max Ferguson, Yung-Tsun Tina Lee, Anantha Narayanan, Kincho H. Law
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. December 2019, 3(1): 79–97.
Paper No: SSMS20190032
https://doi.org/10.1520/SSMS20190032
Published Online: December 11, 2019
View Article titled, A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection
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Proceedings Papers

A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry

Max Ferguson, Seongwoon Jeong, Kincho H. Law, Svetlana Levitan, Anantha Narayanan, Rainer Burkhardt, Tridivesh Jena, Yung-Tsun Tina Lee
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A005, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97095
https://doi.org/10.1115/DETC2019-97095
View Paper titled, A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry
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Topics: Artificial neural networks, Machine learning, Manufacturing industry, Engines, Casting, Computation, Flaw detection, Manufacturing, X-rays
Journal Articles

Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning

Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. February 2018, 2(1): 137–164.
Paper No: SSMS20180033
https://doi.org/10.1520/SSMS20180033
Published Online: October 25, 2018
View Article titled, Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning
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Proceedings Papers

A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring

Max Ferguson, Kincho H. Law, Raunak Bhinge, Yung-Tsun Tina Lee
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A077, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67987
https://doi.org/10.1115/DETC2017-67987
View Paper titled, A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring
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Topics: Condition monitoring, Manufacturing, Signals, Milling, Computer numerical control machine tools, Computers, Control equipment, Fourier transforms, Machine learning, Machinery
Journal Articles

Toward a Generalized Energy Prediction Model for Machine Tools

Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David A. Dornfeld, Moneer Helu, Sudarsan Rachuri
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. April 2017, 139(4): 041013.
Paper No: MANU-15-1500
https://doi.org/10.1115/1.4034933
Published Online: November 9, 2016
View Article titled, Toward a Generalized Energy Prediction Model for Machine Tools
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Topics: Energy consumption, Machine tools, Machinery, Machining, Cutting, Density, Errors, Manufacturing, Data collection
Proceedings Papers

A Generalized Data-Driven Energy Prediction Model With Uncertainty for a Milling Machine Tool Using Gaussian Process

Jinkyoo Park, Kincho H. Law, Raunak Bhinge, Nishant Biswas, Amrita Srinivasan, David A. Dornfeld, Moneer Helu, Sudarsan Rachuri
Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T05A010, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9354
https://doi.org/10.1115/MSEC2015-9354
View Paper titled, A Generalized Data-Driven Energy Prediction Model With Uncertainty for a Milling Machine Tool Using Gaussian Process
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Topics: Milling machines, Uncertainty, Energy consumption, Machining, Computer numerical control machine tools, Computers, Machine learning, Machinery, Uncertainty analysis
Proceedings Papers

A Probabilistic Model Updating Algorithm for Fatigue Damage Detection in Aluminum Hull Structures

Masahiro Kurata, Jun-Hee Kim, Jerome P. Lynch, Kincho H. Law, Liming W. Salvino
Proc. ASME. SMASIS2010, ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 741-750, September 28–October 1, 2010
Publisher: American Society of Mechanical Engineers
Paper No: SMASIS2010-3838
https://doi.org/10.1115/SMASIS2010-3838
View Paper titled, A Probabilistic Model Updating Algorithm for Fatigue Damage Detection in Aluminum Hull Structures
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Topics: Algorithms, Aluminum, Fatigue damage, Hull, Damage, Fatigue, Fracture (Materials), Ships, Aluminum alloys, Aluminum plate
Proceedings Papers

Fatigue Life Monitoring of Metallic Structures by Decentralized Rainflow Counting Embedded in a Wireless Sensor Network

Sean O’Connor, Junhee Kim, Jerome P. Lynch, Kincho H. Law, Liming Salvino
Proc. ASME. SMASIS2010, ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 751-759, September 28–October 1, 2010
Publisher: American Society of Mechanical Engineers
Paper No: SMASIS2010-3839
https://doi.org/10.1115/SMASIS2010-3839
View Paper titled, Fatigue Life Monitoring of Metallic Structures by Decentralized Rainflow Counting Embedded in a Wireless Sensor Network
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Topics: Fatigue life, Wireless sensor networks, Fatigue, Sensors, Cracking (Materials), Cycles, Damage, Fracture (Process), Aluminum, Bridges (Structures)
Proceedings Papers

Service Oriented and Orchestrated Framework for Supply Chain Integration

Jack C. P. Cheng, Kincho H. Law, Albert Jones, Ram Sriram
Proc. ASME. IDETC-CIE2009, Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B, 1051-1060, August 30–September 2, 2009
Publisher: American Society of Mechanical Engineers
Paper No: DETC2009-87089
https://doi.org/10.1115/DETC2009-87089
View Paper titled, Service Oriented and Orchestrated Framework for Supply Chain Integration
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Topics: Supply chains, Manufacturing, Gates (Closures), Engineering prototypes, Product design, Collaboration, Cycles, Manufacturing industry, Product development, Risk