Volume 144 Issue 2 | J. Mech. Des. | ASME Digital Collection

Special Issue: Artificial Intelligence and Engineering Design

Guest Editorial

Special Issue: Artificial Intelligence and Engineering Design

James T. Allison, Michel-Alexandre Cardin, Chris McComb, Max Yi Ren, Daniel Selva, Conrad Tucker, Paul Witherell, Yaoyao Fiona Zhao

J. Mech. Des. February 2022, 144(2): 020301. doi: https://doi.org/10.1115/1.4053111

Extract

View articletitled, Special Issue: Artificial Intelligence and Engineering Design

Open the PDF for in another window

Topics: Design , Engineering design , Artificial intelligence

Review Articles

Data-Driven Design-By-Analogy: State-of-the-Art and Future Directions

Shuo Jiang, Jie Hu, Kristin L. Wood, Jianxi Luo

J. Mech. Des. February 2022, 144(2): 020801. doi: https://doi.org/10.1115/1.4051681

Abstract

View articletitled, Data-Driven Design-By-Analogy: State-of-the-Art and Future Directions

Open the PDF for in another window

Semantic Networks for Engineering Design: State of the Art and Future Directions

Ji Han, Serhad Sarica, Feng Shi, Jianxi Luo

J. Mech. Des. February 2022, 144(2): 020802. doi: https://doi.org/10.1115/1.4052148

Abstract

View articletitled, Semantic Networks for Engineering Design: State of the Art and Future Directions

Open the PDF for in another window

Topics: Design , Engineering design

Research Papers

Design Theory and Methodology

Speech2Mindmap: Testing the Accuracy of Unsupervised Automatic Mindmapping Technology With Speech Recognition

Bumsoo Lee, Brian Feldman, Katherine Fu

J. Mech. Des. February 2022, 144(2): 021401. doi: https://doi.org/10.1115/1.4052282

Abstract

View articletitled, Speech2Mindmap: Testing the Accuracy of Unsupervised Automatic Mindmapping Technology With Speech Recognition

Open the PDF for in another window

Topics: Algorithms , Computers , Damping , Design , Testing , Reliability , Creativity

Queries and Cues: Textual Stimuli for Reflective Thinking in Digital Mind-Mapping

Ting-Ju Chen, Ronak R. Mohanty, Vinayak R. Krishnamurthy

J. Mech. Des. February 2022, 144(2): 021402. doi: https://doi.org/10.1115/1.4052297

Abstract

View articletitled, Queries and Cues: Textual Stimuli for Reflective Thinking in Digital Mind-Mapping

Supplementary data

Open the PDF for in another window

Topics: Algorithms , Computers , Design , Reflection , Workflow , Pollution

Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model

Chenxi Yuan, Tucker Marion, Mohsen Moghaddam

J. Mech. Des. February 2022, 144(2): 021403. doi: https://doi.org/10.1115/1.4052366

Abstract

View articletitled, Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model

Open the PDF for in another window

Topics: Design , Regression models , Product development

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb

J. Mech. Des. February 2022, 144(2): 021404. doi: https://doi.org/10.1115/1.4052566

Abstract

View articletitled, Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Open the PDF for in another window

Topics: Design , Generative design , Space , Decision making , Trusses (Building)

Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

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

J. Mech. Des. February 2022, 144(2): 021405. doi: https://doi.org/10.1115/1.4052488

Abstract

View articletitled, Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

Open the PDF for in another window

Topics: Design , Teams , Artificial intelligence

Classifying Component Function in Product Assemblies With Graph Neural Networks

Vincenzo Ferrero, Bryony DuPont, Kaveh Hassani, Daniele Grandi

J. Mech. Des. February 2022, 144(2): 021406. doi: https://doi.org/10.1115/1.4052720

Abstract

View articletitled, Classifying Component Function in Product Assemblies With Graph Neural Networks

Open the PDF for in another window

Topics: Artificial neural networks , Design , Flow (Dynamics) , Manufacturing , Product design

Design Automation

When Faced With Increasing Complexity: The Effectiveness of Artificial Intelligence Assistance for Drone Design

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

J. Mech. Des. February 2022, 144(2): 021701. doi: https://doi.org/10.1115/1.4051871

Abstract

View articletitled, When Faced With Increasing Complexity: The Effectiveness of Artificial Intelligence Assistance for Drone Design

Open the PDF for in another window

Topics: Design , Unmanned aerial vehicles

Development of an Automated Mass-Customization Pipeline for Knee Replacement Surgery Using Biplanar X-Rays

Thomas A. Burge, Jonathan R. T. Jeffers, Connor W. Myant

J. Mech. Des. February 2022, 144(2): 021702. doi: https://doi.org/10.1115/1.4052192

Abstract

View articletitled, Development of an Automated Mass-Customization Pipeline for Knee Replacement Surgery Using Biplanar X-Rays

Open the PDF for in another window

Topics: Design , Pipelines , X-rays , Knee joint prostheses , Shapes , Anatomy , Errors

Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen

J. Mech. Des. February 2022, 144(2): 021703. doi: https://doi.org/10.1115/1.4052221

Abstract

View articletitled, Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors

Open the PDF for in another window

Topics: Data-driven design , Design , Machine learning , Metamaterials , Modeling , Optimization

Toward Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses

Eamon Whalen, Caitlin Mueller

J. Mech. Des. February 2022, 144(2): 021704. doi: https://doi.org/10.1115/1.4052298

Abstract

View articletitled, Toward Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses

Open the PDF for in another window

Topics: Design , Geometry , Modeling , Stress , Parametric design , Displacement

Analyzing Real Options and Flexibility in Engineering Systems Design Using Decision Rules and Deep Reinforcement Learning

Cesare Caputo, Michel-Alexandre Cardin

J. Mech. Des. February 2022, 144(2): 021705. doi: https://doi.org/10.1115/1.4052299

Abstract

View articletitled, Analyzing Real Options and Flexibility in Engineering Systems Design Using Decision Rules and Deep Reinforcement Learning

Open the PDF for in another window

Topics: Design , Reinforcement learning , Uncertainty , Engineering systems and industry applications

Inverse Aerodynamic Design of Gas Turbine Blades Using Probabilistic Machine Learning

Sayan Ghosh, Govinda Anantha Padmanabha, Cheng Peng, Valeria Andreoli, Steven Atkinson, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang

J. Mech. Des. February 2022, 144(2): 021706. doi: https://doi.org/10.1115/1.4052301

Abstract

View articletitled, Inverse Aerodynamic Design of Gas Turbine Blades Using Probabilistic Machine Learning

Open the PDF for in another window

Topics: Design , Modeling , Machine learning , Blades , Computational fluid dynamics

Inverse Design Framework With Invertible Neural Networks for Passive Vibration Suppression in Phononic Structures

Manaswin Oddiraju, Amir Behjat, Mostafa Nouh, Souma Chowdhury

J. Mech. Des. February 2022, 144(2): 021707. doi: https://doi.org/10.1115/1.4052300

Abstract

View articletitled, Inverse Design Framework With Invertible Neural Networks for Passive Vibration Suppression in Phononic Structures

Open the PDF for in another window

Topics: Artificial neural networks , Design , Optimization , Modeling , Metamaterials

Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

Amin Heyrani Nobari, Wei Chen, Faez Ahmed

J. Mech. Des. February 2022, 144(2): 021708. doi: https://doi.org/10.1115/1.4052442

Abstract

View articletitled, Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

Open the PDF for in another window

Topics: Design , Shapes , Generators , Optimization

Data-Efficient Machine Learning on Three-Dimensional Engineering Data

Vencia Herzog, Stefan Suwelack

J. Mech. Des. February 2022, 144(2): 021709. doi: https://doi.org/10.1115/1.4052753

Abstract

View articletitled, Data-Efficient Machine Learning on Three-Dimensional Engineering Data

Open the PDF for in another window

Topics: Design , Machine learning , Shapes , Knowledge transfer , Artificial intelligence , Product design

Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach

Adam Dachowicz, Kshitij Mall, Prajwal Balasubramani, Apoorv Maheshwari, Ali K. Raz, Jitesh H. Panchal, Daniel A. DeLaurentis

J. Mech. Des. February 2022, 144(2): 021710. doi: https://doi.org/10.1115/1.4052841

Abstract

View articletitled, Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach

Open the PDF for in another window

Topics: Design , Probability , Uncertainty , Uncertainty quantification , Damage

GANTL: Toward Practical and Real-Time Topology Optimization With Conditional Generative Adversarial Networks and Transfer Learning

Mohammad Mahdi Behzadi, Horea T. Ilieş

J. Mech. Des. February 2022, 144(2): 021711. doi: https://doi.org/10.1115/1.4052757

Abstract

View articletitled, GANTL: Toward Practical and Real-Time Topology Optimization With Conditional Generative Adversarial Networks and Transfer Learning

Open the PDF for in another window

Topics: Boundary-value problems , Design , Optimization , Resolution (Optics) , Topology , Machine learning

Inverse Design of Two-Dimensional Airfoils Using Conditional Generative Models and Surrogate Log-Likelihoods

Qiuyi Chen, Jun Wang, Phillip Pope, Wei (Wayne) Chen, Mark Fuge

J. Mech. Des. February 2022, 144(2): 021712. doi: https://doi.org/10.1115/1.4052846

Abstract

View articletitled, Inverse Design of Two-Dimensional Airfoils Using Conditional Generative Models and Surrogate Log-Likelihoods

Supplementary data

Open the PDF for in another window

Topics: Airfoils , Design , Optimization

Design as a Marked Point Process

John Quigley, Gokula Vasantha, Jonathan Corney, David Purves, Andrew Sherlock

J. Mech. Des. February 2022, 144(2): 021713. doi: https://doi.org/10.1115/1.4052844

Abstract

View articletitled, Design as a Marked Point Process

Supplementary data

Open the PDF for in another window

Topics: Design

Design for Manufacture and the Life Cycle

An Image-Driven Uncertainty Inverse Method for Sheet Metal Forming Problems

Yu Li, Hu Wang, Biyu Li, Jiaquan Wang, Enying Li

J. Mech. Des. February 2022, 144(2): 022001. doi: https://doi.org/10.1115/1.4052843

Abstract

View articletitled, An Image-Driven Uncertainty Inverse Method for Sheet Metal Forming Problems

Open the PDF for in another window

Topics: Air conditioning , Design , Engines , Finite element model , Forming limit diagrams , Sheet metal work , Statistics , Uncertainty , Manifolds , Blanks

Technical Brief

Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Jinju Kim, Seyoung Park, Harrison M. Kim

J. Mech. Des. February 2022, 144(2): 024501. doi: https://doi.org/10.1115/1.4052789

Abstract

View articletitled, Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Open the PDF for in another window

Topics: Batteries , Data collection , Design , Feature extraction , Preferences , Profitability , Product design

Special Issue: Artificial Intelligence and Engineering Design

Guest Editorial

Special Issue: Artificial Intelligence and Engineering Design

Review Articles

Data-Driven Design-By-Analogy: State-of-the-Art and Future Directions

Semantic Networks for Engineering Design: State of the Art and Future Directions

Research Papers

Design Theory and Methodology

Speech2Mindmap: Testing the Accuracy of Unsupervised Automatic Mindmapping Technology With Speech Recognition

Queries and Cues: Textual Stimuli for Reflective Thinking in Digital Mind-Mapping

Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

Classifying Component Function in Product Assemblies With Graph Neural Networks

Design Automation

When Faced With Increasing Complexity: The Effectiveness of Artificial Intelligence Assistance for Drone Design

Development of an Automated Mass-Customization Pipeline for Knee Replacement Surgery Using Biplanar X-Rays

Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors

Toward Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses

Analyzing Real Options and Flexibility in Engineering Systems Design Using Decision Rules and Deep Reinforcement Learning

Inverse Aerodynamic Design of Gas Turbine Blades Using Probabilistic Machine Learning

Inverse Design Framework With Invertible Neural Networks for Passive Vibration Suppression in Phononic Structures

Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

Data-Efficient Machine Learning on Three-Dimensional Engineering Data

Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach

GANTL: Toward Practical and Real-Time Topology Optimization With Conditional Generative Adversarial Networks and Transfer Learning

Inverse Design of Two-Dimensional Airfoils Using Conditional Generative Models and Surrogate Log-Likelihoods

Design as a Marked Point Process

Design for Manufacture and the Life Cycle

An Image-Driven Uncertainty Inverse Method for Sheet Metal Forming Problems

Technical Brief

Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Email alerts

RSS Feeds

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

Issues

Special Issue: Artificial Intelligence and Engineering Design

Guest Editorial

Review Articles

Research Papers

Design Theory and Methodology

Design Automation

Design for Manufacture and the Life Cycle

Technical Brief

Email alerts

RSS Feeds

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only