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Journal Articles

GCP-HOLO: Generating High-Order Linkage Graphs for Path Synthesis

Mitchell Fogelson, Conrad S. Tucker, Jonathan Cagan

J. Mech. Des.

Paper No: MD-22-1425

DOI: https://doi.org/10.1115/1.4062147

Published Online: March 17, 2023

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Topics: Linkages, Algorithms, Optimization, Degrees of freedom, Design, Design automation, Machine learning, Pipelines, Reinforcement learning

Journal Articles

Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task

Joshua T. Gyory, Nicolás F. Soria Zurita, Jonathan Cagan, Christopher McComb

J. Mech. Des. May 2023, 145(5): 051405.

Paper No: MD-22-1283

DOI: https://doi.org/10.1115/1.4056597

Published Online: February 10, 2023

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Topics: Teams, Design

Journal Articles

Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan

J. Mech. Des. May 2023, 145(5): 051404.

Paper No: MD-22-1517

DOI: https://doi.org/10.1115/1.4056499

Published Online: January 17, 2023

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Topics: Design, Artificial intelligence

Journal Articles

Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search

Ayush Raina, Jonathan Cagan, Christopher McComb

J. Mech. Des. March 2023, 145(3): 031402.

Paper No: MD-22-1326

DOI: https://doi.org/10.1115/1.4056221

Published Online: December 9, 2022

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Topics: Boundary-value problems, Design, Algorithms

Proceedings Papers

Does Design Proficiency Matter in Engineering Design Teams? A Computational Model and Experiments

Ethan Brownell, Jonathan Cagan, Kenneth Kotovsky

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A041, August 14–17, 2022

Paper No: DETC2022-89318

DOI: https://doi.org/10.1115/DETC2022-89318

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Topics: Computer simulation, Design, Engineering design, Teams

Proceedings Papers

The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A017, August 14–17, 2022

Paper No: DETC2022-88535

DOI: https://doi.org/10.1115/DETC2022-88535

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Topics: Artificial intelligence, Engineering design, Teams

Proceedings Papers

A Real-Time Artificial Intelligence Process Manager for Engineering Design

Joshua T. Gyory, Nicolás F. Soria Zurita, Jay D. Martin, Corey M. Balon, Christopher McComb, Kenneth Kotovsky, Jonathan Cagan

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A018, August 14–17, 2022

Paper No: DETC2022-88609

DOI: https://doi.org/10.1115/DETC2022-88609

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Topics: Artificial intelligence, Engineering design, Teams, Design, Performance, Path planning

Proceedings Papers

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A043, August 14–17, 2022

Paper No: DETC2022-89740

DOI: https://doi.org/10.1115/DETC2022-89740

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Topics: Design, Space, Algorithms, Artificial intelligence, Boundary-value problems, Data-driven design, Design automation, Trusses (Building)

Proceedings Papers

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 14–17, 2022

Paper No: DETC2022-88574

DOI: https://doi.org/10.1115/DETC2022-88574

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Topics: Artificial intelligence, Collaboration, Decision making, Design

Proceedings Papers

Comparing Nominal and Interacting Sub-Structured Teams in an Interdisciplinary Engineering Design Task

Joshua T. Gyory, Nicolás F. Soria Zurita, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A024, August 14–17, 2022

Paper No: DETC2022-89623

DOI: https://doi.org/10.1115/DETC2022-89623

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Topics: Engineering design, Teams, Design, Flow (Dynamics), Path planning, Unmanned aerial vehicles

Proceedings Papers

DTM Past, Present, and Future: Reflections on and by the Design Theory and Methodology Research Community

Christine Toh, Jonathan Cagan, Kate Fu, Dan A. McAdams, Christopher McComb, Warren Seering, Deborah Thurston, Kristin Wood

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A028, August 14–17, 2022

Paper No: DETC2022-90003

DOI: https://doi.org/10.1115/DETC2022-90003

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Topics: Design, Design theory, Reflection

Proceedings Papers

A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems

Guanglu Zhang, Douglas Allaire, Jonathan Cagan

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A027, August 14–17, 2022

Paper No: DETC2022-88146

DOI: https://doi.org/10.1115/DETC2022-88146

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Topics: Curve fitting, Parameter estimation, Errors, Fittings, Genetic algorithms, Inverse problems, Optimization

Proceedings Papers

Design and Printability Evaluation of Heat Exchangers for Laser Powder Bed Fusion Process

Xuan Liang, Lisha White, Jonathan Cagan, Anthony D. Rollett, Yongjie Jessica Zhang

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A033, August 14–17, 2022

Paper No: DETC2022-90533

DOI: https://doi.org/10.1115/DETC2022-90533

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Topics: Cross-flow, Design, Heat exchangers, Lasers, Structural design

Journal Articles

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan

J. Mech. Des. March 2023, 145(3): 031401.

Paper No: MD-22-1057

DOI: https://doi.org/10.1115/1.4055123

Published Online: October 31, 2022

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Topics: Artificial intelligence, Decision making, Design, Feedback, Trusses (Building)

Journal Articles

Unit-Based Design of Cross-Flow Heat Exchangers for LPBF Additive Manufacturing

Xuan Liang, Lisha White, Jonathan Cagan, Anthony D. Rollett, Yongjie Jessica Zhang

J. Mech. Des. January 2023, 145(1): 012002.

Paper No: MD-22-1110

DOI: https://doi.org/10.1115/1.4055734

Published Online: October 10, 2022

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Topics: Cross-flow, Design, Deformation, Heat exchangers, Optimization, Topology, Shapes

Journal Articles

Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams

Joshua T. Gyory, Kenneth Kotovsky, Christopher McComb, Jonathan Cagan

J. Mech. Des. October 2022, 144(10): 104501.

Paper No: MD-21-1606

DOI: https://doi.org/10.1115/1.4054723

Published Online: June 30, 2022

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Topics: Design, Teams, Artificial intelligence, Process management (Business automation)

Journal Articles

Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models

Guanglu Zhang, Douglas Allaire, Jonathan Cagan

J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021006.

Paper No: JCISE-21-1340

DOI: https://doi.org/10.1115/1.4054440

Published Online: June 3, 2022

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Topics: Cooling, Curve fitting, Errors, Fittings, Parameter estimation

Journal Articles

Inducing Vascular Grammars for Anomaly Classification in Brain Angiograms

Mark E. Whiting, Joseph Mettenburg, Enrico M. Novelli, Tales Santini, Tiago Martins, Tamer S. Ibrahim, Philip R. LeDuc, Jonathan Cagan

ASME J of Medical Diagnostics. May 2022, 5(2): 021002.

Paper No: JESMDT-21-1016

DOI: https://doi.org/10.1115/1.4053424

Published Online: February 23, 2022

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Topics: Biomedicine, Brain, Design, Electromagnetic induction, Pipelines, Shapes, Vessels, Machine learning, Magnetic resonance imaging, Flight

Proceedings Papers

Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process

Binyang Song, Nicolás F. Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A055, August 17–19, 2021

Paper No: DETC2021-70467

DOI: https://doi.org/10.1115/DETC2021-70467

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Topics: Artificial intelligence, Design, Engineering design

Proceedings Papers

Using Deep Learning to Simulate Multi-Disciplinary Design Teams

Gary M. Stump, Michael Yukish, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A016, August 17–19, 2021

Paper No: DETC2021-70596

DOI: https://doi.org/10.1115/DETC2021-70596

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Topics: Design, Teams

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GCP-HOLO: Generating High-Order Linkage Graphs for Path Synthesis

Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task

Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers

Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search

Does Design Proficiency Matter in Engineering Design Teams? A Computational Model and Experiments

The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

A Real-Time Artificial Intelligence Process Manager for Engineering Design

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Comparing Nominal and Interacting Sub-Structured Teams in an Interdisciplinary Engineering Design Task

DTM Past, Present, and Future: Reflections on and by the Design Theory and Methodology Research Community

A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems

Design and Printability Evaluation of Heat Exchangers for Laser Powder Bed Fusion Process

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Unit-Based Design of Cross-Flow Heat Exchangers for LPBF Additive Manufacturing

Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams

Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models

Inducing Vascular Grammars for Anomaly Classification in Brain Angiograms

Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process

Using Deep Learning to Simulate Multi-Disciplinary Design Teams

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