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Journal Articles

Special Issue: Emerging Technologies and Methods for Early-Stage Product Design and Development

Mohsen Moghaddam, Tucker Marion, Katja Holtta-Otto, Kate Fu, Alison Olechowski, Christopher McComb

J. Mech. Des. April 2023, 145(4): 040301.

Paper No: MD-23-1008

DOI: https://doi.org/10.1115/1.4056744

Published Online: February 28, 2023

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Topics: Design, Product design

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

Reinforcement Learning for Efficient Design Space Exploration With Variable Fidelity Analysis Models

Akash Agrawal, Christopher McComb

J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041004.

Paper No: JCISE-22-1259

DOI: https://doi.org/10.1115/1.4056297

Published Online: January 9, 2023

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Topics: Design, Reinforcement learning, Artificial neural networks, Aircraft

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

Journal Articles

Manufacturing Fixation in Design: Exploring the Effects of Manufacturing Fixation During Idea Generation

Jennifer Bracken Brennan, William B. Miney, Timothy W. Simpson, Kathryn W. Jablokow, Christopher McComb

J. Mech. Des. January 2023, 145(1): 012005.

Paper No: MD-22-1250

DOI: https://doi.org/10.1115/1.4056222

Published Online: December 7, 2022

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Topics: Design, Manufacturing

Journal Articles

Special Issue: Design for Advanced Manufacturing

Yaoyao Fiona Zhao, Stefanie Elgeti, James Guest, Christopher McComb, Julián Norato, Deepesh Toshniwal

J. Mech. Des. January 2023, 145(1): 010301.

Paper No: MD-22-1672

DOI: https://doi.org/10.1115/1.4056169

Published Online: December 1, 2022

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Topics: Design, Manufacturing, Additive manufacturing

Proceedings Papers

Analyzing Expert Design Cost Estimation for Additive Manufacturing

Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A032, August 14–17, 2022

Paper No: DETC2022-90260

DOI: https://doi.org/10.1115/DETC2022-90260

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Topics: Additive manufacturing, Design, Computer-aided design, Experimental design, Lasers, Manufacturing, Metals, Project cost estimation, Statistics, Tooling

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

Towards Characterizing Cognitive Style Coping Behavior in Engineering Design

Noriana Radwan, Jessica Menold, Jesse McTernan, Kathryn Jablokow, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A035, August 14–17, 2022

Paper No: DETC2022-91148

DOI: https://doi.org/10.1115/DETC2022-91148

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Topics: Engineering design, Design, Innovation, Performance

Proceedings Papers

Deriving Recommendations for the Use of Agent-Based Models in Engineering Design

Malena Agyemang, Noriana Radwan, Sierra Hicks, Fariha Azhar, Ambrosio Valencia-Romero, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A034, August 14–17, 2022

Paper No: DETC2022-90961

DOI: https://doi.org/10.1115/DETC2022-90961

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Topics: Engineering design, Modeling, Simulation

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

Journal Articles

Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling

Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060903.

Paper No: JCISE-22-1206

DOI: https://doi.org/10.1115/1.4055854

Published Online: October 17, 2022

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Topics: Artificial intelligence, Design, Manufacturing

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

A Computational Study of Design Team Robustness Through the Lens of Cognitive Style

Noriana Radwan, Christopher McComb

J. Mech. Des. October 2022, 144(10): 104502.

Paper No: MD-21-1626

DOI: https://doi.org/10.1115/1.4054722

Published Online: June 30, 2022

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Topics: Robustness, Teams, Design

Journal Articles

Virtual and Face-to-Face Team Collaboration Comparison Through an Agent-Based Simulation

Harshika Singh, Gaetano Cascini, Christopher McComb

J. Mech. Des. July 2022, 144(7): 071706.

Paper No: MD-21-1445

DOI: https://doi.org/10.1115/1.4054242

Published Online: May 27, 2022

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Topics: Collaboration, Design, Teams

Journal Articles

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Matthew Li, Christopher McComb

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 044501.

Paper No: JCISE-21-1160

DOI: https://doi.org/10.1115/1.4053671

Published Online: February 21, 2022

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Topics: Computational fluid dynamics, Fluids, Physics, Resolution (Optics), Simulation, Engineering simulation, Turbulence

Proceedings Papers

Multi-Objective Model-Based Optimization of Pilot Decision Making for Urban Air Mobility

Nicholas Holowsko, Christopher McComb

Proc. ASME. IMECE2021, Volume 6: Design, Systems, and Complexity, V006T06A024, November 1–5, 2021

Paper No: IMECE2021-69819

DOI: https://doi.org/10.1115/IMECE2021-69819

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Topics: Cities, Decision making, Mechanical admittance, Optimization, Vehicles, Aircraft, Simulation, Automotive design, Sensitivity analysis, Traffic

Proceedings Papers

When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020

Tobias Mahan, Pratima Saravanan, Sandeep Krishnakumar, Hannah Nolte, Christopher McComb, Jessica Menold

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A035, August 17–19, 2021

Paper No: DETC2021-71798

DOI: https://doi.org/10.1115/DETC2021-71798

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Topics: Data mining, Engineering design processes, Feedback, Fracture toughness, Modeling, Pandemics, Principal component analysis, Product design, Product development

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Supplemental Material

Special Issue: Emerging Technologies and Methods for Early-Stage Product Design and Development

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

Reinforcement Learning for Efficient Design Space Exploration With Variable Fidelity Analysis Models

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

Manufacturing Fixation in Design: Exploring the Effects of Manufacturing Fixation During Idea Generation

Special Issue: Design for Advanced Manufacturing

Analyzing Expert Design Cost Estimation for Additive Manufacturing

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

Towards Characterizing Cognitive Style Coping Behavior in Engineering Design

Deriving Recommendations for the Use of Agent-Based Models in Engineering Design

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

Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling

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

A Computational Study of Design Team Robustness Through the Lens of Cognitive Style

Virtual and Face-to-Face Team Collaboration Comparison Through an Agent-Based Simulation

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Multi-Objective Model-Based Optimization of Pilot Decision Making for Urban Air Mobility

When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020

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