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Journal Articles

Multidisciplinary Topology Optimization Using Generative Adversarial Networks for Physics-Based Design Enhancement

Corey M. Parrott, Diab W. Abueidda, Kai A. James

J. Mech. Des. June 2023, 145(6): 061704.

Paper No: MD-22-1589

DOI: https://doi.org/10.1115/1.4056929

Published Online: March 16, 2023

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Topics: Design, Physics, Topology optimization, Errors, Thermoelasticity

Journal Articles

Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric

M. Rahmani Dehaghani, Yifan Tang, G. Gary Wang

J. Mech. Des. January 2023, 145(1): 012001.

Paper No: MD-22-1210

DOI: https://doi.org/10.1115/1.4055149

Published Online: October 7, 2022

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Topics: Additive manufacturing, Calibration, Metals, Modeling, Uncertainty, Finite element analysis, Physics

Journal Articles

Multiphysics Design Optimization via Generative Adversarial Networks

Hesaneh Kazemi, Carolyn C. Seepersad, H. Alicia Kim

J. Mech. Des. December 2022, 144(12): 121702.

Paper No: MD-22-1445

DOI: https://doi.org/10.1115/1.4055377

Published Online: October 6, 2022

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Topics: Design, Heat conduction, Optimization, Topology, Physics

Journal Articles

Toward Holistic Design of Spatial Packaging of Interconnected Systems With Physical Interactions (SPI2)

Satya R. T. Peddada, Lawrence E. Zeidner, Horea T. Ilies, Kai A. James, James T. Allison

J. Mech. Des. December 2022, 144(12): 120801.

Paper No: MD-21-1765

DOI: https://doi.org/10.1115/1.4055055

Published Online: August 26, 2022

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Topics: Design, Optimization, Packaging, Topology, Design automation, Physics

Journal Articles

Probabilistic Digital Twin for Additive Manufacturing Process Design and Control

Paromita Nath, Sankaran Mahadevan

J. Mech. Des. September 2022, 144(9): 091704.

Paper No: MD-21-1740

DOI: https://doi.org/10.1115/1.4054521

Published Online: June 13, 2022

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Topics: Digital twin, Manufacturing, Optimization, Physics, Process control, Process design, Uncertainty, Additive manufacturing, Lasers, Porosity

Journal Articles

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

Rishikesh Ranade, Jay Pathak

J. Mech. Des. July 2022, 144(7): 071705.

Paper No: MD-21-1136

DOI: https://doi.org/10.1115/1.4053811

Published Online: March 18, 2022

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Topics: Algorithms, Artificial neural networks, Design, Engineering simulation, Geometry, Machine learning, Testing, Physics, Computer-aided design, Rotation

Journal Articles

So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree

Anthony Hennig, Taylan G. Topcu, Zoe Szajnfarber

J. Mech. Des. April 2022, 144(4): 041401.

Paper No: MD-21-1320

DOI: https://doi.org/10.1115/1.4052701

Published Online: November 11, 2021

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Topics: Architecture, Design, Modular construction, Physics, Sensitivity analysis, System architecture, Flow (Dynamics), Dimensions, Performance

Journal Articles

Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data

Huiru Li, Xiaoping Du

J. Mech. Des. April 2022, 144(4): 041701.

Paper No: MD-21-1346

DOI: https://doi.org/10.1115/1.4052624

Published Online: November 9, 2021

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Topics: Reliability, Stress, Failure, Physics

Journal Articles

Generalizability of Convolutional Encoder–Decoder Networks for Aerodynamic Flow-Field Prediction Across Geometric and Physical-Fluidic Variations

Kaustubh Tangsali, Vinayak R. Krishnamurthy, Zohaib Hasnain

J. Mech. Des. May 2021, 143(5): 051704.

Paper No: MD-20-1208

DOI: https://doi.org/10.1115/1.4048221

Published Online: November 13, 2020

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Topics: Airfoils, Flow (Dynamics), Simulation, Computational fluid dynamics, Physics, Reynolds number, Geometry, Design, Mach number

Includes: Supplementary data

Journal Articles

A Novel Two-Stage Design Framework for Two-Dimensional Spatial Packing of Interconnected Components

Satya R. T. Peddada, Kai A. James, James T. Allison

J. Mech. Des. March 2021, 143(3): 031706.

Paper No: MD-20-1415

DOI: https://doi.org/10.1115/1.4048817

Published Online: November 10, 2020

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Topics: Design, Optimization, Packing (Shipments), Packings (Cushioning), Physics, Topology, Algorithms

Journal Articles

Simultaneous Packing and Routing Optimization Using Geometric Projection

Alex Jessee, Satya R. T. Peddada, Danny J. Lohan, James T. Allison, Kai A. James

J. Mech. Des. November 2020, 142(11): 111702.

Paper No: MD-19-1788

DOI: https://doi.org/10.1115/1.4046809

Published Online: May 21, 2020

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Topics: Design, Optimization, Physics, Shapes

Journal Articles

3D Design Using Generative Adversarial Networks and Physics-Based Validation

Dule Shu, James Cunningham, Gary Stump, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker

J. Mech. Des. July 2020, 142(7): 071701.

Paper No: MD-19-1242

DOI: https://doi.org/10.1115/1.4045419

Published Online: November 28, 2019

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Topics: Design, Physics, Aircraft, Simulation

Journal Articles

Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling

Dehao Liu, Yan Wang

J. Mech. Des. December 2019, 141(12): 121403.

Paper No: MD-19-1177

DOI: https://doi.org/10.1115/1.4044400

Published Online: September 27, 2019

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Topics: Artificial neural networks, Modeling, Phase transitions, Physics, Simulation, Heat transfer

Journal Articles

Exploring Biases Between Human and Machine Generated Designs

Christian E. Lopez, Scarlett R. Miller, Conrad S. Tucker

J. Mech. Des. February 2019, 141(2): 021104.

Paper No: MD-18-1525

DOI: https://doi.org/10.1115/1.4041857

Published Online: December 20, 2018

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Topics: Boats, Computer simulation, Computers, Design, Machinery, Physics

Journal Articles

Integration of Statistics- and Physics-Based Methods—A Feasibility Study on Accurate System Reliability Prediction

Zhengwei Hu, Xiaoping Du

J. Mech. Des. July 2018, 140(7): 074501.

Paper No: MD-17-1638

DOI: https://doi.org/10.1115/1.4039770

Published Online: May 11, 2018

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Topics: Physics, Reliability, Statistics, Support vector machines, Failure mechanisms, Probability

Journal Articles

Brass Instruments Design Using Physics-Based Sound Simulation Models and Surrogate-Assisted Derivative-Free Optimization

Robin Tournemenne, Jean-François Petiot, Bastien Talgorn, Michael Kokkolaras, Joël Gilbert

J. Mech. Des. April 2017, 139(4): 041401.

Paper No: MD-16-1482

DOI: https://doi.org/10.1115/1.4035503

Published Online: January 31, 2017

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Topics: Brass (Metal), Design, Instrumentation, Optimization, Physics, Simulation, Simulation models, Engineering simulation

Journal Articles

Model Selection Among Physics-Based Models

V. K. Hombal, S. Mahadevan

J. Mech. Des. February 2013, 135(2): 021003.

Paper No: MD-12-1046

DOI: https://doi.org/10.1115/1.4023155

Published Online: January 7, 2013

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Topics: Errors, Uncertainty, Fracture (Materials), Physics

Journal Articles

A Computationally Assisted Methodology for Preference-Guided Conceptual Design

Garrett J. Barnum, Christopher A. Mattson

J. Mech. Des. December 2010, 132(12): 121003.

DOI: https://doi.org/10.1115/1.4002838

Published Online: November 23, 2010

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Topics: Design, Optimization, Preferences, Vehicles, Physics, Conceptual design

Journal Articles

Combining Dynamic Modeling With Geometric Constraint Management to Support Low Clearance Virtual Manual Assembly

Abhishek Seth, Judy M. Vance, James H. Oliver

J. Mech. Des. August 2010, 132(8): 081002.

DOI: https://doi.org/10.1115/1.4001565

Published Online: July 21, 2010

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Topics: Clearances (Engineering), Collisions (Physics), Dynamic modeling, Manufacturing, Modeling, Physics, Computer-aided design, Virtual reality, Virtual assembly, Simulation

Journal Articles

Physics-Based Modeling for Heterogeneous Objects

Xiaoping Qian, Debasish Dutta

J. Mech. Des. September 2003, 125(3): 416–427.

DOI: https://doi.org/10.1115/1.1582877

Published Online: September 4, 2003

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Topics: B-splines, Diffusion (Physics), Modeling, Physics, Materials properties, Diffusion processes, Design, Prostheses

Journal citation

NARROW

Supplemental Material

Multidisciplinary Topology Optimization Using Generative Adversarial Networks for Physics-Based Design Enhancement

Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric

Multiphysics Design Optimization via Generative Adversarial Networks

Toward Holistic Design of Spatial Packaging of Interconnected Systems With Physical Interactions (SPI2)

Probabilistic Digital Twin for Additive Manufacturing Process Design and Control

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

So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree

Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data

Generalizability of Convolutional Encoder–Decoder Networks for Aerodynamic Flow-Field Prediction Across Geometric and Physical-Fluidic Variations

A Novel Two-Stage Design Framework for Two-Dimensional Spatial Packing of Interconnected Components

Simultaneous Packing and Routing Optimization Using Geometric Projection

3D Design Using Generative Adversarial Networks and Physics-Based Validation

Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling

Exploring Biases Between Human and Machine Generated Designs

Integration of Statistics- and Physics-Based Methods—A Feasibility Study on Accurate System Reliability Prediction

Brass Instruments Design Using Physics-Based Sound Simulation Models and Surrogate-Assisted Derivative-Free Optimization

Model Selection Among Physics-Based Models

A Computationally Assisted Methodology for Preference-Guided Conceptual Design

Combining Dynamic Modeling With Geometric Constraint Management to Support Low Clearance Virtual Manual Assembly

Physics-Based Modeling for Heterogeneous Objects

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