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Journal Articles

A Surrogate-Assisted Multi-Concept Optimization Framework for Real-World Engineering Design

Ankush Kapoor, Tapabrata Ray, Nigel Jepson, Susann Beier

Publisher: ASME

J. Mech. Des.

Paper No: MD-24-1837

https://doi.org/10.1115/1.4068404

Published Online: April 9, 2025

... believe our contribution will enhance the adoption of optimization methods in concept design. Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 23 11 2024 31 03 2025 03 04 2025 09 04 2025 Email: s.beier...

View Articletitled, A Surrogate-Assisted Multi-Concept Optimization Framework for Real-World Engineering Design

Topics: Design, Engineering design, Optimization

Journal Articles

Extracting Design Information from Optimized Designs of Power Flow Systems: Application to Multi-split Thermal Management System Configuration

Saeid Bayat, Nastaran Shahmansouri, Satya R. T. Peddada, Alex Tessier, Adrian Butscher, James T. Allison

Publisher: ASME

J. Mech. Des.

Paper No: MD-24-1150

https://doi.org/10.1115/1.4068378

Published Online: April 4, 2025

... Email: jtalliso@illinois.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 10 03 2024 24 03 2025 27 03 2025 04 04 2025 Data-driven design design automation design evaluation design methodology...

View Articletitled, Extracting Design Information from Optimized Designs of Power Flow Systems: Application to Multi-split Thermal Management System Configuration

Topics: Design, Design automation, Flow (Dynamics), Machine learning, Optimization, Thermal management

Journal Articles

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction

Mohamed Elrefaie, Angela Dai, Faez Ahmed

Publisher: ASME

J. Mech. Des. April 2025, 147(4): 041712.

Paper No: MD-24-1657

https://doi.org/10.1115/1.4068104

Published Online: March 25, 2025

... of thousands of car designs. Automated meshing is then applied to these designs before high-fidelity CFD simulations are conducted using openfoam . The resulting CFD data are stored for further analysis. Multiple quality checks are integrated throughout the process to ensure the accuracy and convergence...

View Articletitled, DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction

Topics: Computational fluid dynamics, Design, Drag (Fluid dynamics), Simulation, Pressure, Machine learning, Turbulence, Shapes, Modeling, Deep learning

Journal Articles

Dataset on Complex Power Systems: Design for Resilient Transmission Networks Using a Generative Model

In-Bum Chung, Pingfeng Wang

Publisher: ASME

J. Mech. Des. April 2025, 147(4): 041709.

Paper No: MD-24-1452

https://doi.org/10.1115/1.4067745

Published Online: February 27, 2025

... author. Email: pingfeng@illinois.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 30 06 2024 16 01 2025 20 01 2025 27 02 2025 power networks dataset network system design generative design...

View Articletitled, Dataset on Complex Power Systems: Design for Resilient Transmission Networks Using a Generative Model

Topics: Design, Flow (Dynamics), Generators, Optimization, Power grids, Power systems (Machinery), Resilience, Topology, Generative design, Transmission lines

Journal Articles

Accessible Digital Reconstruction and Mechanical Prediction of 3D-Printed Prosthetics

Junghun Lee, Chukwuemeka Nkama, Hadiza Yusuf, Joseph Maina, Jean Ikuzwe, Jean Byiringiro, Moise Busogi, Conrad Tucker

Publisher: ASME

J. Mech. Des. June 2025, 147(6): 062001.

Paper No: MD-24-1654

https://doi.org/10.1115/1.4067716

Published Online: February 27, 2025

... author. Email: conradt@andrew.cmu.edu Contributed by the Design for Manufacturing Committee of ASME for publication in the journal of mechanical design . 15 09 2024 03 01 2025 14 01 2025 27 02 2025 artificial intelligence computer-aided engineering design...

View Articletitled, Accessible Digital Reconstruction and Mechanical Prediction of 3D-Printed Prosthetics

Topics: Additive manufacturing, Artificial limbs, Design, Finite element analysis, Printing, Prostheses, Computer-aided design, Mechanical properties

Journal Articles

Improved Augmented Lagrangian Relaxation-Assisted Analytical Target Cascading for Multidisciplinary Design Optimization

Xiaowei Zhou, Wei Li

Publisher: ASME

J. Mech. Des. August 2025, 147(8): 081701.

Paper No: MD-24-1850

https://doi.org/10.1115/1.4067747

Published Online: February 26, 2025

.... Sci. , 233 ( 7 ), pp. 2262 – 2274 . 10.1177/0954406218784619 Email: 13665177656@163.com 1 Corresponding author. Email: liwei111@sina.cn Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 28 11 2024 13...

View Articletitled, Improved Augmented Lagrangian Relaxation-Assisted Analytical Target Cascading for Multidisciplinary Design Optimization

Topics: Design, Modal assurance criterion, Optimization, Relaxation (Physics), Computer programming

Journal Articles

Enhancing Bayesian Inference-Based Damage Diagnostics Through Domain Translation With Application to Miter Gates

Yichao Zeng, Zhao Zhao, Guofeng Qian, Michael D. Todd, Zhen Hu

Publisher: ASME

J. Mech. Des. June 2025, 147(6): 061701.

Paper No: MD-24-1646

https://doi.org/10.1115/1.4067719

Published Online: February 24, 2025

... ,” Mech. Syst. Signal Process. , 205 ( 1 ), p. 110796 . 10.1016/j.ymssp.2023.110796 14 09 2024 05 01 2025 06 01 2025 24 02 2025 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 1 Corresponding...

View Articletitled, Enhancing Bayesian Inference-Based Damage Diagnostics Through Domain Translation With Application to Miter Gates

Topics: Damage, Gates (Closures), Physics

Journal Articles

A Customer Journey Mapping Approach With Mobile Application

Yiqing Ding, James M. Lattin, Awua M. Buahin, Gabriella A. Dweck

Publisher: ASME

J. Mech. Des. July 2025, 147(7): 071404.

Paper No: MD-24-1533

https://doi.org/10.1115/1.4067480

Published Online: January 30, 2025

... customer journey mapping design method human-centered design mobile application design automation design for humans design methodology design theory and methodology product development user-centered design Customer experiences involve customers’ cognitive, affective, emotional, social...

View Articletitled, A Customer Journey Mapping Approach With Mobile Application

Topics: Design, Students, Data collection

Includes: Supplementary data

Journal Articles

Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design

Qihao Zhu, Leah Chong, Maria Yang, Jianxi Luo

Publisher: ASME

J. Mech. Des. June 2025, 147(6): 061401.

Paper No: MD-24-1648

https://doi.org/10.1115/1.4067527

Published Online: January 15, 2025

... Contributed by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 14 09 2024 11 12 2024 16 12 2024 15 01 2025 artificial intelligence computer-aided design design automation design for humans design theory...

View Articletitled, Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design

Topics: Design, Large language models, Artificial intelligence

Journal Articles

Representation Learning for Sequential Volumetric Design Tasks

Md Ferdous Alam, Yi Wang, Chin-Yi Cheng, Jieliang Luo

Publisher: ASME

J. Mech. Des. May 2025, 147(5): 051704.

Paper No: MD-24-1258

https://doi.org/10.1115/1.4066686

Published Online: November 18, 2024

... autoregressive model is also capable of autocompleting a volumetric design sequence from a partial design sequence. 1 Corresponding author. Email: alam.92@osu.edu Email: yi.wang@autodesk.com Email: hajimecheng@gmail.com Email: rodgerljl@msn.com Contributed by the Design Automation...

View Articletitled, Representation Learning for Sequential Volumetric Design Tasks

Topics: Design, Preferences, Density

Journal Articles

Automated Layout Design of Hydraulic Components With Constraints on Flow Channels

Ciming Zhu, Feixue Wang, Hongyuan Zhang, Yongjiang Zheng, Chengfeng Ding, Shuai Li, Jing Yao

Publisher: ASME

J. Mech. Des. May 2025, 147(5): 051701.

Paper No: MD-24-1395

https://doi.org/10.1115/1.4066689

Published Online: November 1, 2024

...%, demonstrating the efficiency of this method for lightweight hydraulic equipment design. Email: 1029630001@qq.com Email: jyao@ysu.edu.cn Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 05 06 2024 12 09 2024 18 09 2024...

View Articletitled, Automated Layout Design of Hydraulic Components With Constraints on Flow Channels

Topics: Design, Flow (Dynamics), Optimization, Collisions (Physics), Algorithms

Journal Articles

NURBS-OT: An Advanced Model for Generative Curve Modeling

Shaoliang Yang, Jun Wang, Kang Wang

Publisher: ASME

J. Mech. Des. March 2025, 147(3): 031703.

Paper No: MD-24-1312

https://doi.org/10.1115/1.4066549

Published Online: October 18, 2024

...: jwang22@scu.edu Email: kwang4@scu.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 10 05 2024 03 09 2024 05 09 2024 18 10 2024 Graphical Abstract Figure data-driven design design...

View Articletitled, NURBS-OT: An Advanced Model for Generative Curve Modeling

Topics: Airfoils, Algorithms, B-splines, Generative adversarial networks, Machine learning, Modeling, Optimization, Shapes, Parametrization, Design

Journal Articles

Design and Mechanical Validation of Commercially Viable, Personalized Passive Prosthetic Feet

Charlotte Folinus, Amos G. Winter, V

Publisher: ASME

J. Mech. Des. March 2025, 147(3): 035001.

Paper No: MD-23-1144

https://doi.org/10.1115/1.4064073

Published Online: October 18, 2024

... of the original and updated normalization schemes, please refer to Chapter 5.9.2 in Ref. [ 59 ]. 19 03 2023 25 10 2023 30 10 2023 18 10 2024 1 Corresponding author. Email: cfolinus@mit.edu Email: awinter@mit.edu compliant mechanisms design automation design...

View Articletitled, Design and Mechanical Validation of Commercially Viable, Personalized Passive Prosthetic Feet

Topics: Artificial limbs, Design, Manufacturing, Keel, Stiffness

Includes: Supplementary data

Journal Articles

Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks

Jice Zeng, Zhenyan Gao, Yang Li, Saeed Barbat, Jin Lu, Zhen Hu

Publisher: ASME

J. Mech. Des. February 2025, 147(2): 021703.

Paper No: MD-24-1338

https://doi.org/10.1115/1.4066427

Published Online: September 23, 2024

... , 396 ( 1 ), pp. 487 – 494 . 10.1016/j.neucom.2018.10.109 Email: jicezeng@umich.edu Email: zgao@ford.com Email: yli197@ford.com Email: sbarbat@ford.com Email: jinluz@umich.edu 1 Corresponding author. Email: zhennhu@umich.edu Contributed by the Design Automation...

View Articletitled, Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks

Topics: Computer-aided engineering, Crashworthiness, Vehicles, Data fusion

Journal Articles

Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications

Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed

Publisher: ASME

J. Mech. Des. February 2025, 147(2): 021401.

Paper No: MD-23-1610

https://doi.org/10.1115/1.4065998

Published Online: August 28, 2024

... Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 31 08 2023 24 06 2024 11 07 2024 28 08 2024 Graphical Abstract Figure artificial intelligence data-driven design design automation design optimization...

View Articletitled, Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications

Topics: Design, Optimization

Journal Articles

An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization

Soheyl Massoudi, Cyril Picard, Jürg Schiffmann

Publisher: ASME

J. Mech. Des. December 2024, 146(12): 121706.

Paper No: MD-24-1183

https://doi.org/10.1115/1.4065823

Published Online: July 19, 2024

...-Twin for Gas-Bearing Supported High-speed Turbocompressors ,” Energy , 275 , p. 127385 . 10.1016/j.energy.2023.127385 1 Corresponding author. Email: soheyl.massoudi@epfl.ch Email: cyrilp@mit.edu Email: jurg.schiffmann@epfl.ch Contributed by Design Automation Committee...

View Articletitled, An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization

Topics: Artificial neural networks, Bearings, Blades, Compressors, Design, Gas bearings, Manufacturing, Optimization, Robustness, Rotors

Journal Articles

MeshPointNet: 3D Surface Classification Using Graph Neural Networks and Conformal Predictions on Mesh-Based Representations

Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed

Publisher: ASME

J. Mech. Des. May 2024, 146(5): 051712.

Paper No: MD-23-1477

https://doi.org/10.1115/1.4064673

Published Online: March 18, 2024

...Amin Heyrani Nobari; Justin Rey; Suhas Kodali; Matthew Jones; Faez Ahmed In many design automation applications, accurate segmentation and classification of 3D surfaces and extraction of geometric insight from 3D models can be pivotal. This paper primarily introduces a machine learning-based scheme...

View Articletitled, MeshPointNet: 3D Surface Classification Using Graph Neural Networks and Conformal Predictions on Mesh-Based Representations

Topics: Aircraft, Computational fluid dynamics, Computer-aided design, Deep learning, Image segmentation, Simulation, Artificial neural networks, Design

Journal Articles

Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications

Jonathan Tammer Eweis-Labolle, Chuanning Zhao, Yoonjin Won, Ramin Bostanabad

Publisher: ASME

J. Mech. Des. October 2024, 146(10): 101705.

Paper No: MD-23-1728

https://doi.org/10.1115/1.4064813

Published Online: March 18, 2024

... characteristics often observed in industrial applications. Email: chuanniz@uci.edu 1 Corresponding author. Email: won@uci.edu 1 Corresponding author. Email: raminb@uci.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign...

View Articletitled, Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications

Topics: Design, Modeling

Journal Articles

Multidisciplinary Robust Design Optimization Incorporating Extreme Scenario in Sparse Samples

Wei Li, Yuzhen Niu, Haihong Huang, Akhil Garg, Liang Gao

Publisher: ASME

J. Mech. Des. September 2024, 146(9): 091701.

Paper No: MD-23-1876

https://doi.org/10.1115/1.4064632

Published Online: March 5, 2024

... Email: akhilgarg@hust.edu.cn Email: gaoliang@mail.hust.edu.cn Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 13 12 2023 25 01 2024 25 01 2024 05 03 2024 Graphical Abstract Figure Test 1...

View Articletitled, Multidisciplinary Robust Design Optimization Incorporating Extreme Scenario in Sparse Samples

Topics: Design, Optimization, Robustness, Collaboration

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

Publisher: ASME

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

... simultaneously addressing the cost and complexity associated with the design of complex systems. Email: yanwen.xu@utdallas.edu Email: hw64@illinois.edu Email: zhengl6@illinois.edu 1 Corresponding author. Email: pingfeng@illinois.edu Email: yumengl@illinois.edu Contributed by Design...

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

Topics: Design, Design under uncertainty, Machine learning, Metamodeling, Optimization, Reliability, Reliability-based optimization, Uncertainty, Complex systems, Uncertainty quantification

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A Surrogate-Assisted Multi-Concept Optimization Framework for Real-World Engineering Design

Extracting Design Information from Optimized Designs of Power Flow Systems: Application to Multi-split Thermal Management System Configuration

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction

Dataset on Complex Power Systems: Design for Resilient Transmission Networks Using a Generative Model

Accessible Digital Reconstruction and Mechanical Prediction of 3D-Printed Prosthetics

Improved Augmented Lagrangian Relaxation-Assisted Analytical Target Cascading for Multidisciplinary Design Optimization

Enhancing Bayesian Inference-Based Damage Diagnostics Through Domain Translation With Application to Miter Gates

A Customer Journey Mapping Approach With Mobile Application

Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design

Representation Learning for Sequential Volumetric Design Tasks

Automated Layout Design of Hydraulic Components With Constraints on Flow Channels

NURBS-OT: An Advanced Model for Generative Curve Modeling

Design and Mechanical Validation of Commercially Viable, Personalized Passive Prosthetic Feet

Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks

Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications

An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization

MeshPointNet: 3D Surface Classification Using Graph Neural Networks and Conformal Predictions on Mesh-Based Representations

Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications

Multidisciplinary Robust Design Optimization Incorporating Extreme Scenario in Sparse Samples

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

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