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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

Paper No: DETC2022-89511

DOI: https://doi.org/10.1115/DETC2022-89511

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Topics: Additive manufacturing, Calibration, Finite element analysis, Metals, Modeling, Uncertainty

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

Paper No: DETC2022-89300

DOI: https://doi.org/10.1115/DETC2022-89300

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Topics: Additive manufacturing, Modeling

Journal Articles

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

M. Rahmani Dehaghani, Yifan Tang, G. Gary Wang

J. Mech. Des. January 2023, 145(1): 012001.

Paper No: MD-22-1210

DOI: https://doi.org/10.1115/1.4055149

Published Online: October 7, 2022

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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

Paper No: JRC2021-58311

DOI: https://doi.org/10.1115/JRC2021-58311

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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

J. Mech. Des. November 2021, 143(11): 111704.

Paper No: MD-20-1858

DOI: https://doi.org/10.1115/1.4050749

Published Online: May 28, 2021

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Topics: Algorithms, Design, Optimization, Pareto optimization, Impellers

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

Paper No: DETC2001/DAC-21141

DOI: https://doi.org/10.1115/DETC2001/DAC-21141

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Topics: Computation, Design, Response surface methodology, Testing, Composite materials, Engineering design, Optimization

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

Paper No: DETC2001/CIE-21265

DOI: https://doi.org/10.1115/DETC2001/CIE-21265

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Topics: Virtual assembly, Virtual reality

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

Paper No: DETC2020-22519

DOI: https://doi.org/10.1115/DETC2020-22519

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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

J. Mech. Des. April 2021, 143(4): 041703.

Paper No: MD-20-1165

DOI: https://doi.org/10.1115/1.4047909

Published Online: October 12, 2020

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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

J. Mech. Des. November 2020, 142(11): 111701.

Paper No: MD-19-1417

DOI: https://doi.org/10.1115/1.4046650

Published Online: May 21, 2020

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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

J. Mech. Des. February 2020, 142(2): 021404.

Paper No: MD-18-1416

DOI: https://doi.org/10.1115/1.4044321

Published Online: October 17, 2019

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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

J. Mech. Des. January 2020, 142(1): 010801.

Paper No: MD-19-1088

DOI: https://doi.org/10.1115/1.4044525

Published Online: October 3, 2019

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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

J. Mech. Des. April 2019, 141(4): 041402.

Paper No: MD-18-1104

DOI: https://doi.org/10.1115/1.4042342

Published Online: January 11, 2019

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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

J. Mech. Des. February 2019, 141(2): 021705.

Paper No: MD-18-1545

DOI: https://doi.org/10.1115/1.4042084

Published Online: December 20, 2018

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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

Paper No: DETC2018-85895

DOI: https://doi.org/10.1115/DETC2018-85895

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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

Paper No: DETC2018-85325

DOI: https://doi.org/10.1115/DETC2018-85325

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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

Paper No: DETC2018-85335

DOI: https://doi.org/10.1115/DETC2018-85335

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Topics: Modeling, Optimization, Satellites, Design, Engineering disciplines, Finite element analysis, Computation, Dynamics (Mechanics), Engineering simulation, Probability

Journal Articles

Reliability-Based Design Optimization on Qualitative Objective With Limited Information

Khaldon T. Meselhy, G. Gary Wang

J. Mech. Des. December 2018, 140(12): 121402.

Paper No: MD-17-1537

DOI: https://doi.org/10.1115/1.4041172

Published Online: September 18, 2018

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Topics: Design, Reliability-based optimization, Optimization, Algorithms, Reliability

Journal Articles

An Adaptive Aggregation-Based Approach for Expensively Constrained Black-Box Optimization Problems

George H. Cheng, Timothy Gjernes, G. Gary Wang

J. Mech. Des. September 2018, 140(9): 091402.

Paper No: MD-17-1787

DOI: https://doi.org/10.1115/1.4040485

Published Online: June 26, 2018

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Topics: Algorithms, Design, Optimization, Modeling, Impellers

Proceedings Papers

Dimension Reduction and Decomposition Using Causal Graph and Qualitative Analysis for Aircraft Concept Design Optimization

Di Wu, Eric Coatanea, G. Gary Wang

Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A035, August 6–9, 2017

Paper No: DETC2017-67601

DOI: https://doi.org/10.1115/DETC2017-67601

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Topics: Aircraft, Design, Dimensions, Optimization, Modeling, Weight (Mass)

2 3 4

Journal citation

NARROW

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

Review of Transfer Learning in Additive Manufacturing Modeling

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

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

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

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

Definition Clarification and Review on Virtual Prototyping

Enhanced Particle Swarm Optimization via Reinforcement Learning

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

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

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

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

Employing Knowledge on Causal Relationship to Assist Multidisciplinary Design Optimization

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

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

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

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

Reliability-Based Design Optimization on Qualitative Objective With Limited Information

An Adaptive Aggregation-Based Approach for Expensively Constrained Black-Box Optimization Problems

Dimension Reduction and Decomposition Using Causal Graph and Qualitative Analysis for Aircraft Concept Design Optimization

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