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Journal Articles

Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Junchuan Shi, Yupeng Wei, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090901.
Paper No: JCISE-23-1033
https://doi.org/10.1115/1.4063985
Published Online: June 7, 2024
View Article titled, Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries
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Topics: Batteries, Convolutional neural networks, Cycles, Lithium-ion batteries, Stress, Condition monitoring
Journal Articles

Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction

Yupeng Wei, Dazhong Wu, Janis Terpenny
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2022, 5(2): 021009.
Paper No: NDE-21-1041
https://doi.org/10.1115/1.4053620
Published Online: February 18, 2022
View Article titled, Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction
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Topics: Sensors, Signals, Service life (Equipment), Complex systems
Journal Articles

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Junchuan Shi, Tianyu Yu, Kai Goebel, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021004.
Paper No: JCISE-20-1129
https://doi.org/10.1115/1.4048215
Published Online: October 13, 2020
View Article titled, Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features
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Topics: Algorithms, Bearings, Errors, Service life (Equipment), Feature selection, Vibration, Signals, Failure
Journal Articles

Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning

Ziyang Zhang, Junchuan Shi, Tianyu Yu, Aaron Santomauro, Ali Gordon, Jihua Gou, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061015.
Paper No: JCISE-20-1006
https://doi.org/10.1115/1.4047477
Published Online: July 9, 2020
View Article titled, Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning
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Topics: Additive manufacturing, Bending strength, Carbon, Design, Fibers, Machine learning, Polymers, Carbon reinforced plastics, Stiffness, Modeling
Journal Articles

Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing

Ziyang Zhang, Laxmi Poudel, Zhenghui Sha, Wenchao Zhou, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021002.
Paper No: JCISE-19-1204
https://doi.org/10.1115/1.4045290
Published Online: December 11, 2019
View Article titled, Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing
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Topics: Additive manufacturing, Tensile strength, Modeling, Shells, Mechanical properties
Proceedings Papers

A Review on Additive Manufacturing of Ceramics

Brooke Mansfield, Sabrina Torres, Tianyu Yu, Dazhong Wu
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T01A001, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2886
https://doi.org/10.1115/MSEC2019-2886
View Paper titled, A Review on Additive Manufacturing of Ceramics
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Topics: Additive manufacturing, Ceramics
Proceedings Papers

A Decision-Level Data Fusion Approach to Surface Roughness Prediction

Yupeng Wei, Dazhong Wu, Janis Terpenny
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A030, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2976
https://doi.org/10.1115/MSEC2019-2976
View Paper titled, A Decision-Level Data Fusion Approach to Surface Roughness Prediction
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Topics: Additive manufacturing, Data fusion, Process monitoring, Surface roughness
Journal Articles

Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning

Zhixiong Li, Dazhong Wu, Tianyu Yu
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. March 2019, 141(3): 031003.
Paper No: MANU-18-1189
https://doi.org/10.1115/1.4042051
Published Online: January 17, 2019
View Article titled, Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning
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Topics: Algorithms, Modeling, Semiconductor wafers, Feature extraction, Physics
Journal Articles

Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning

Zhixiong Li, Kai Goebel, Dazhong Wu
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2019, 141(4): 041008.
Paper No: GTP-18-1207
https://doi.org/10.1115/1.4041674
Published Online: November 16, 2018
View Article titled, Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning
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Topics: Aircraft engines, Algorithms, Feature selection, Modeling, Particle swarm optimization, Service life (Equipment), Optimization, Weight (Mass)
Proceedings Papers

Surface Roughness Prediction in Additive Manufacturing Using Machine Learning

Dazhong Wu, Yupeng Wei, Janis Terpenny
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A018, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6501
https://doi.org/10.1115/MSEC2018-6501
View Paper titled, Surface Roughness Prediction in Additive Manufacturing Using Machine Learning
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Proceedings Papers

Predictive Modeling of Droplet Velocity and Size in Inkjet-Based Bioprinting

Dazhong Wu, Changxue Xu, Srikumar Krishnamoorthy
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A028, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6513
https://doi.org/10.1115/MSEC2018-6513
View Paper titled, Predictive Modeling of Droplet Velocity and Size in Inkjet-Based Bioprinting
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Topics: Bioprinting, Drops, Modeling, Additive manufacturing, Biological tissues, Biomaterials, Biomedical engineering, Errors, Excitation, Experimental design
Journal Articles

Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting

Dazhong Wu, Changxue Xu
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. October 2018, 140(10): 101007.
Paper No: MANU-18-1269
https://doi.org/10.1115/1.4040619
Published Online: July 9, 2018
View Article titled, Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting
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Topics: Bioprinting, Drops, Modeling
Journal Articles

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

Dazhong Wu, Connor Jennings, Janis Terpenny, Soundar Kumara, Robert X. Gao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. April 2018, 140(4): 041005.
Paper No: MANU-17-1344
https://doi.org/10.1115/1.4038002
Published Online: February 12, 2018
View Article titled, Cloud-Based Parallel Machine Learning for Tool Wear Prediction
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Topics: Algorithms, Machine learning, Wear, Manufacturing, Milling, Cloud computing, Cutting, Sensors, Vibration
Proceedings Papers

Ensemble Prognostics With Degradation-Dependent Weights: Prediction of Remaining Useful Life for Aircraft Engines

Zhixiong Li, Dazhong Wu, Chao Hu, Janis Terpenny, Sheng Shen
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A045, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68315
https://doi.org/10.1115/DETC2017-68315
View Paper titled, Ensemble Prognostics With Degradation-Dependent Weights: Prediction of Remaining Useful Life for Aircraft Engines
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Topics: Aircraft engines, Algorithms, Engines, Service life (Equipment), Weight (Mass)
Proceedings Papers

Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear

Dazhong Wu, Connor Jennings, Janis Terpenny, Robert Gao, Soundar Kumara
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A048, June 4–8, 2017
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2017-2679
https://doi.org/10.1115/MSEC2017-2679
View Paper titled, Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear
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Topics: Wear, Artificial neural networks, Manufacturing systems, Artificial intelligence, Algorithms, Failure, Machine learning, Machinery, Maintenance, Manufacturing
Journal Articles

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

Dazhong Wu, Connor Jennings, Janis Terpenny, Robert X. Gao, Soundar Kumara
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. July 2017, 139(7): 071018.
Paper No: MANU-16-1567
https://doi.org/10.1115/1.4036350
Published Online: April 18, 2017
View Article titled, A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
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Topics: Algorithms, Artificial neural networks, Wear, Machine learning
Proceedings Papers

A Survey of Cloud-Based Design and Engineering Analysis Software Tools

Dazhong Wu, Janis Terpenny, Dirk Schaefer
Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A016, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59341
https://doi.org/10.1115/DETC2016-59341
View Paper titled, A Survey of Cloud-Based Design and Engineering Analysis Software Tools
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Topics: Computer software, Design, Internet, Thread
Proceedings Papers

Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems

Dazhong Wu, Janis Terpenny, Li Zhang, Robert Gao, Thomas Kurfess
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A032, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8559
https://doi.org/10.1115/MSEC2016-8559
View Paper titled, Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems
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Topics: Manufacturing, Machinery, Internet of things, Maintenance, Cloud computing, Computer software, Cyber-physical systems, Data storage systems, Failure, Machine learning
Proceedings Papers

Forecasting Obsolescence Risk Using Machine Learning

Connor Jennings, Dazhong Wu, Janis Terpenny
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A033, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8625
https://doi.org/10.1115/MSEC2016-8625
View Paper titled, Forecasting Obsolescence Risk Using Machine Learning
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Topics: Machine learning, Risk, Bills of materials, Design, Electronics, Innovation, Product design
Proceedings Papers

Performance Evaluation of Cloud-Based High Performance Computing for Finite Element Analysis

Dazhong Wu, Xi Liu, Steve Hebert, Wolfgang Gentzsch, Janis Terpenny
Proc. ASME. IDETC-CIE2015, Volume 1A: 35th Computers and Information in Engineering Conference, V01AT02A043, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-46381
https://doi.org/10.1115/DETC2015-46381
View Paper titled, Performance Evaluation of Cloud-Based High Performance Computing for Finite Element Analysis
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Topics: Finite element analysis, Performance evaluation, Cloud computing, Computer-aided engineering, Simulation, Bridges (Structures)