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Journal Articles

Importance-Induced Customer Segmentation Using Explainable Machine Learning

Accepted Manuscript
Seyoung Park, Yilan Jiang, Harrison Kim
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des.
Paper No: MD-24-1118
https://doi.org/10.1115/1.4066746
Published Online: September 30, 2024
View Article titled, Importance-Induced Customer Segmentation Using Explainable Machine Learning
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Topics: Image segmentation, Machine learning, Construction, Data-driven design, Design automation, Neural network models, Product development, Trend analysis
Journal Articles

An automated data-driven approach for product design strategies to respond to market disruption following COVID-19

Accepted Manuscript
Seyoung Park, Kangcheng Lin, Junegak Joung, Harrison Kim
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-24-1210
https://doi.org/10.1115/1.4066684
Published Online: September 25, 2024
View Article titled, An automated data-driven approach for product design strategies to respond to market disruption following COVID-19
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Topics: Product design, Laptop computers, Pandemics, Preferences, Batteries, Data collection, Data-driven design, Design automation, Machine learning
Journal Articles

NURBS-OT: An Advanced Model for Generative Curve Modeling

Accepted Manuscript
Shaoliang Yang, Jun Wang, Kang Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-24-1312
https://doi.org/10.1115/1.4066549
Published Online: September 13, 2024
View Article titled, NURBS-OT: An Advanced Model for Generative Curve Modeling
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Topics: Modeling, B-splines, Generative adversarial networks, Airfoils, Computer-aided design, Computers, Data-driven design, Deep learning, Design automation, Generative design
Journal Articles

Deep Learning Conceptual Design of Sit-to-Stand Parallel Motion Six-Bar Mechanisms

Zhijie Lyu, Anurag Purwar
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2025, 147(1): 013306.
Paper No: MD-24-1019
https://doi.org/10.1115/1.4066036
Published Online: August 21, 2024
View Article titled, Deep Learning Conceptual Design of Sit-to-Stand Parallel Motion Six-Bar Mechanisms
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Topics: Algorithms, Artificial neural networks, Conceptual design, Databases, Design, Kinematics, Linkages, Pipelines, Machine learning, Deep learning
Journal Articles

Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields

Accepted Manuscript
Anirban Samaddar, Sandipp Krishnan Ravi, Nesar Ramachandra, Lele Luan, Sandeep Madireddy, Anindya Bhaduri, Piyush Pandita, Changjie Sun, Liping Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-24-1156
https://doi.org/10.1115/1.4066224
Published Online: August 16, 2024
View Article titled, Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields
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Topics: Metamodeling, Modeling, Stress, Simulation, Tensors, Artificial intelligence, Artificial neural networks, Compression, Convolutional neural networks, Data-driven design
Journal Articles

A Dataset Generation Framework for Symmetry-Induced Mechanical Metamaterials

Accepted Manuscript
Mohammad Abu-Mualla, Jida Huang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-24-1128
https://doi.org/10.1115/1.4066169
Published Online: August 5, 2024
View Article titled, A Dataset Generation Framework for Symmetry-Induced Mechanical Metamaterials
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Topics: Design, Metamaterials, Trusses (Building), Machine learning, Additive manufacturing, Anisotropy, Computer-aided design, Design methodology, Materials science, Mechanical properties
Journal Articles

Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information

Yanwen Xu, Hao Wu, Zheng Liu, Pingfeng Wang, Yumeng Li
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2024, 146(8): 081704.
Paper No: MD-23-1618
https://doi.org/10.1115/1.4064492
Published Online: March 5, 2024
View Article titled, Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information
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Topics: Design, Design under uncertainty, Machine learning, Metamodeling, Optimization, Reliability, Reliability-based optimization, Uncertainty, Complex systems, Uncertainty quantification
Journal Articles

Data-Driven Global Sensitivity Analysis of Variable Groups for Understanding Complex Physical Interactions in Engineering Design

Tuba Dolar, Doksoo Lee, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2024, 146(9): 091703.
Paper No: MD-23-1749
https://doi.org/10.1115/1.4064633
Published Online: March 5, 2024
View Article titled, Data-Driven Global Sensitivity Analysis of Variable Groups for Understanding Complex Physical Interactions in Engineering Design
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Topics: Artificial neural networks, Design, Sensitivity analysis, Engineering design, Machine learning
Journal Articles

Untrained and Unmatched: Fast and Accurate Zero-Training Classification for Tabular Engineering Data

Cyril Picard, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2024, 146(9): 091705.
Paper No: MD-23-1678
https://doi.org/10.1115/1.4064811
Published Online: March 5, 2024
View Article titled, Untrained and Unmatched: Fast and Accurate Zero-Training Classification for Tabular Engineering Data
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Topics: Design, Engineering design, Machine learning, Trains, Algorithms, Tradeoffs, Solar energy, Optimization, Uncertainty
Journal Articles

On the Use of Geometric Deep Learning for the Iterative Classification and Down-Selection of Analog Electric Circuits

Anthony Sirico, Jr., Daniel R. Herber
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051703.
Paper No: MD-23-1443
https://doi.org/10.1115/1.4063659
Published Online: November 21, 2023
View Article titled, On the Use of Geometric Deep Learning for the Iterative Classification and Down-Selection of Analog Electric Circuits
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Topics: Circuits, Design, Gas diffusion layers, Frequency response, Optimization, Machine learning
Journal Articles

Attribute-Sentiment-Guided Summarization of User Opinions From Online Reviews

Yi Han, Gaurav Nanda, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041402.
Paper No: MD-22-1296
https://doi.org/10.1115/1.4055736
Published Online: December 9, 2022
View Article titled, Attribute-Sentiment-Guided Summarization of User Opinions From Online Reviews
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Topics: Durability, E-commerce, Entropy, Natural language processing, Product design, Product development, Stability, User-centered design, Design, Absorption
Journal Articles

ActivationNet : Representation Learning to Predict Contact Quality of Interacting 3D Surfaces in Engineering Designs

Rishikesh Ranade, Jay Pathak
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2022, 144(7): 071705.
Paper No: MD-21-1136
https://doi.org/10.1115/1.4053811
Published Online: March 18, 2022
View Article titled, ActivationNet : Representation Learning to Predict Contact Quality of Interacting 3D Surfaces in Engineering Designs
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Topics: Algorithms, Artificial neural networks, Design, Engineering simulation, Geometry, Machine learning, Testing, Physics, Computer-aided design, Rotation
Journal Articles

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

Mohammad Mahdi Behzadi, Horea T. Ilieş
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021711.
Paper No: MD-21-1262
https://doi.org/10.1115/1.4052757
Published Online: December 6, 2021
View Article titled, GANTL: Toward Practical and Real-Time Topology Optimization With Conditional Generative Adversarial Networks and Transfer Learning
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Topics: Boundary-value problems, Design, Optimization, Resolution (Optics), Topology, Machine learning
Journal Articles

Data-Efficient Machine Learning on Three-Dimensional Engineering Data

Vencia Herzog, Stefan Suwelack
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021709.
Paper No: MD-21-1192
https://doi.org/10.1115/1.4052753
Published Online: November 9, 2021
View Article titled, Data-Efficient Machine Learning on Three-Dimensional Engineering Data
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Topics: Design, Machine learning, Shapes, Knowledge transfer, Artificial intelligence, Product design
Journal Articles

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
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021706.
Paper No: MD-21-1275
https://doi.org/10.1115/1.4052301
Published Online: September 21, 2021
View Article titled, Inverse Aerodynamic Design of Gas Turbine Blades Using Probabilistic Machine Learning
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Topics: Design, Modeling, Machine learning, Blades, Computational fluid dynamics
Journal Articles

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
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021703.
Paper No: MD-21-1235
https://doi.org/10.1115/1.4052221
Published Online: September 15, 2021
View Article titled, Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors
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Topics: Data-driven design, Design, Machine learning, Metamaterials, Modeling, Optimization
Journal Articles

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Nandan Sudarsanam, Ramya Chandran, Daniel D. Frey
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031108.
Paper No: MD-19-1410
https://doi.org/10.1115/1.4045603
Published Online: December 23, 2019
View Article titled, Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size
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Topics: Algorithms, Design, Design theory, Experimental design, Machine learning, Modeling, Noise (Sound), Optimization, Probability, Resource allocation
Journal Articles

Special Issue: Machine Learning for Engineering Design

Jitesh H. Panchal, Mark Fuge, Ying Liu, Samy Missoum, Conrad Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Guest Editorial
J. Mech. Des. November 2019, 141(11): 110301.
Paper No: MD-19-1579
https://doi.org/10.1115/1.4044690
Published Online: October 18, 2019
View Article titled, Special Issue: Machine Learning for Engineering Design
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Topics: Design, Engineering design, Machine learning, Optimization
Journal Articles

A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems

Feng Zhou, Jackie Ayoub, Qianli Xu, X. Jessie Yang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2020, 142(1): 011101.
Paper No: MD-19-1275
https://doi.org/10.1115/1.4044435
Published Online: October 3, 2019
View Article titled, A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems
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Topics: Algorithms, Machine learning, Modeling, Design, Noise (Sound), Preferences
Journal Articles

A Comparative Evaluation of Supervised Machine Learning Classification Techniques for Engineering Design Applications

Conner Sharpe, Tyler Wiest, Pingfeng Wang, Carolyn Conner Seepersad
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121404.
Paper No: MD-19-1180
https://doi.org/10.1115/1.4044524
Published Online: October 3, 2019
View Article titled, A Comparative Evaluation of Supervised Machine Learning Classification Techniques for Engineering Design Applications
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Topics: Algorithms, Design, Engineering design, Machine learning, Optimization, Support vector machines, Artificial neural networks
Includes: Supplementary data