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G. Gary Wang
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Proceedings Papers

Defining and Modeling of Height-Related Geometrical Parameters for Thin Wall Structures Manufactured by Metal Additive Manufacturing

Mostafa Rahmani Dehaghani, Yifan Tang, Suraj Panicker, Di Wu, Eric Coatanea, G. Gary Wang
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A082, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114987
https://doi.org/10.1115/DETC2023-114987
View Paper titled, Defining and Modeling of Height-Related Geometrical Parameters for Thin Wall Structures Manufactured by Metal Additive Manufacturing
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Topics: Additive manufacturing, Metals, Modeling, Thin wall structures, Wire
Proceedings Papers

Layer-to-Layer Thermal History Prediction for Thin Walls in Metal Additive Manufacturing

Yifan Tang, Shahriar Bakrani Balani, Akshay Dhalpe, Mostafa Rahmani Dehaghani, Suraj Panicker, Eric Coatanea, Di Wu, G. Gary Wang
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A076, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114997
https://doi.org/10.1115/DETC2023-114997
View Paper titled, Layer-to-Layer Thermal History Prediction for Thin Walls in Metal Additive Manufacturing
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Topics: Additive manufacturing, Metals, Modeling, Thin wall structures, Simulation, Temperature, Artificial neural networks, Computer simulation, Errors, Printing
Journal Articles

A Dimension Selection-Based Constrained Multi-Objective Optimization Algorithm Using a Combination of Artificial Intelligence Methods

Di Wu, Dmitry Sotnikov, G. Gary Wang, Eric Coatanea, Mika Lyly, Tiina Salmi
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2023, 145(8): 081704.
Paper No: MD-23-1006
https://doi.org/10.1115/1.4062548
Published Online: June 9, 2023
View Article titled, A Dimension Selection-Based Constrained Multi-Objective Optimization Algorithm Using a Combination of Artificial Intelligence Methods
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Topics: Algorithms, Artificial neural networks, Design, Dimensions, Optimization, Pareto optimization, Simulation, Solenoids
Proceedings Papers

Review of Transfer Learning in Additive Manufacturing Modeling

Yifan Tang, M. Rahmani Dehaghani, G. Gary Wang
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A013, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89300
https://doi.org/10.1115/DETC2022-89300
View Paper titled, Review of Transfer Learning in Additive Manufacturing Modeling
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Topics: Additive manufacturing, Modeling
Proceedings Papers

Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric

M. Rahmani Dehaghani, Yifan Tang, G. Gary Wang
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A029, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89511
https://doi.org/10.1115/DETC2022-89511
View Paper titled, Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric
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Topics: Additive manufacturing, Calibration, Finite element analysis, Metals, Modeling, Uncertainty
Journal Articles

Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric

M. Rahmani Dehaghani, Yifan Tang, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2023, 145(1): 012001.
Paper No: MD-22-1210
https://doi.org/10.1115/1.4055149
Published Online: October 7, 2022
View Article titled, Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric
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Topics: Additive manufacturing, Calibration, Metals, Modeling, Uncertainty, Finite element analysis, Physics
Proceedings Papers

Multiscale Simulation-Based Mixed Train Derailment Analysis: A Case Study

Yi Wang, Steven Nich, Kyle Mulligan, Kevin Oldknow, G. Gary Wang
Proc. ASME. JRC2021, 2021 Joint Rail Conference, V001T10A001, April 20–21, 2021
Publisher: American Society of Mechanical Engineers
Paper No: JRC2021-58311
https://doi.org/10.1115/JRC2021-58311
View Paper titled, Multiscale Simulation-Based Mixed Train Derailment Analysis: A Case Study
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Topics: Simulation, Trains
Journal Articles

Multi-Objective Optimization for High-Dimensional Expensively Constrained Black-Box Problems

George H. Cheng, G. Gary Wang, Yeong-Maw Hwang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111704.
Paper No: MD-20-1858
https://doi.org/10.1115/1.4050749
Published Online: May 28, 2021
View Article titled, Multi-Objective Optimization for High-Dimensional Expensively Constrained Black-Box Problems
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Topics: Algorithms, Design, Optimization, Pareto optimization, Impellers
Proceedings Papers

Definition Clarification and Review on Virtual Prototyping

G. Gary Wang
Proc. ASME. IDETC-CIE2001, Volume 1: 21st Computers and Information in Engineering Conference, 349-357, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/CIE-21265
https://doi.org/10.1115/DETC2001/CIE-21265
View Paper titled, Definition Clarification and Review on Virtual Prototyping
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Topics: Virtual assembly, Virtual reality
Proceedings Papers

Improvement on the Adaptive Response Surface Method for High-Dimensional Computation-Intensive Design Problems

G. Gary Wang
Proc. ASME. IDETC-CIE2001, Volume 2B: 27th Design Automation Conference, 1199-1207, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/DAC-21141
https://doi.org/10.1115/DETC2001/DAC-21141
View Paper titled, Improvement on the Adaptive Response Surface Method for High-Dimensional Computation-Intensive Design Problems
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Topics: Computation, Design, Response surface methodology, Testing, Composite materials, Engineering design, Optimization
Proceedings Papers

Enhanced Particle Swarm Optimization via Reinforcement Learning

Di Wu, G. Gary Wang
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A007, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22519
https://doi.org/10.1115/DETC2020-22519
View Paper titled, Enhanced Particle Swarm Optimization via Reinforcement Learning
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Topics: Particle swarm optimization
Journal Articles

Mode-Pursuing Sampling Method Using Discriminative Coordinate Perturbation for High-Dimensional Expensive Black-Box Optimization

Yufei Wu, Teng Long, Renhe Shi, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2021, 143(4): 041703.
Paper No: MD-20-1165
https://doi.org/10.1115/1.4047909
Published Online: October 12, 2020
View Article titled, Mode-Pursuing Sampling Method Using Discriminative Coordinate Perturbation for High-Dimensional Expensive Black-Box Optimization
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Topics: Design, Optimization, Sampling methods
Journal Articles

Sequential Radial Basis Function-Based Optimization Method Using Virtual Sample Generation

Yifan Tang, Teng Long, Renhe Shi, Yufei Wu, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2020, 142(11): 111701.
Paper No: MD-19-1417
https://doi.org/10.1115/1.4046650
Published Online: May 21, 2020
View Article titled, Sequential Radial Basis Function-Based Optimization Method Using Virtual Sample Generation
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Topics: Optimization, Support vector machines, Design
Journal Articles

Multi-Fidelity Modeling and Adaptive Co-Kriging-Based Optimization for All-Electric Geostationary Orbit Satellite Systems

Renhe Shi, Li Liu, Teng Long, Yufei Wu, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2020, 142(2): 021404.
Paper No: MD-18-1416
https://doi.org/10.1115/1.4044321
Published Online: October 17, 2019
View Article titled, Multi-Fidelity Modeling and Adaptive Co-Kriging-Based Optimization for All-Electric Geostationary Orbit Satellite Systems
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Topics: Design, Optimization, Satellites, Modeling, Engineering disciplines
Journal Articles

Knowledge-Assisted Optimization for Large-Scale Design Problems: A Review and Proposition

Di Wu, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Review Articles
J. Mech. Des. January 2020, 142(1): 010801.
Paper No: MD-19-1088
https://doi.org/10.1115/1.4044525
Published Online: October 3, 2019
View Article titled, Knowledge-Assisted Optimization for Large-Scale Design Problems: A Review and Proposition
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Topics: Design, Optimization
Journal Articles

Employing Knowledge on Causal Relationship to Assist Multidisciplinary Design Optimization

Di Wu, Eric Coatanea, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. April 2019, 141(4): 041402.
Paper No: MD-18-1104
https://doi.org/10.1115/1.4042342
Published Online: January 11, 2019
View Article titled, Employing Knowledge on Causal Relationship to Assist Multidisciplinary Design Optimization
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Topics: Design, Optimization
Journal Articles

Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling

Hari P. N. Nagarajan, Hossein Mokhtarian, Hesam Jafarian, Saoussen Dimassi, Shahriar Bakrani-Balani, Azarakhsh Hamedi, Eric Coatanéa, G. Gary Wang, Karl R. Haapala
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2019, 141(2): 021705.
Paper No: MD-18-1545
https://doi.org/10.1115/1.4042084
Published Online: December 20, 2018
View Article titled, Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling
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Topics: Artificial neural networks, Modeling, Topology, Dimensional analysis
Proceedings Papers

Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs

Eric Coatanéa, Vadim Tsarkov, Siddhant Modi, Di Wu, G. Gary Wang, Hesam Jafarian
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A020, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85895
https://doi.org/10.1115/DETC2018-85895
View Paper titled, Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs
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Topics: Artificial neural networks, Dimensional analysis, Modeling, Topology, Additive manufacturing, Design, Engineering systems and industry applications, Errors
Proceedings Papers

Knowledge Assisted Optimization for Large-Scale Problems: A Review and Proposition

Di Wu, G. Gary Wang
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A032, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85325
https://doi.org/10.1115/DETC2018-85325
View Paper titled, Knowledge Assisted Optimization for Large-Scale Problems: A Review and Proposition
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Topics: Optimization, Design, Artificial intelligence, Engineering design, Engineers, Product design
Proceedings Papers

Multi-Fidelity Modeling and Adaptive Co-Kriging Based Optimization for All-Electric GEO Satellite Systems

Renhe Shi, Li Liu, Teng Long, Yufei Wu, G. Gary Wang
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A033, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85335
https://doi.org/10.1115/DETC2018-85335
View Paper titled, Multi-Fidelity Modeling and Adaptive Co-Kriging Based Optimization for All-Electric GEO Satellite Systems
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Topics: Modeling, Optimization, Satellites, Design, Engineering disciplines, Finite element analysis, Computation, Dynamics (Mechanics), Engineering simulation, Probability