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Proceedings Papers

A Novel Connectivity Index for Microstructures Imperfection Detection and Rectification in Multiscale Structure Design

Sina Rastegarzadeh, Jida Huang
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A040, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142038
https://doi.org/10.1115/DETC2024-142038
View Paper titled, A Novel Connectivity Index for Microstructures Imperfection Detection and Rectification in Multiscale Structure Design
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Topics: Design, Engineering systems and industry applications, Metamaterials, Microscale devices, Optimization, Reliability, Topology
Proceedings Papers

Predicting Structural System Behavior via a Deep Surrogate Modeling Framework With Imbalanced Feature Learning

Marshall Lee, Chenxi Tao, Kushal Jignesh Shah, Seung-Kyum Choi
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A004, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143087
https://doi.org/10.1115/DETC2024-143087
View Paper titled, Predicting Structural System Behavior via a Deep Surrogate Modeling Framework With Imbalanced Feature Learning
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Topics: Convolutional neural networks, Deep learning, Metamodeling, Engineering systems and industry applications, Stress, Structural response analysis, Cantilever beams, Data mining, Engineering disciplines, Finite element analysis
Proceedings Papers

Graded Minimal Surface Periodic Structures for Multiphysics Metamaterial Applications

Nicole A. Apetre, John G. Michopoulos, Athanasios P. Iliopoulos, John C. Steuben, Steven N. Rodriguez, Benjamin D. Graber, Madan Kittur
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A012, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143698
https://doi.org/10.1115/DETC2024-143698
View Paper titled, Graded Minimal Surface Periodic Structures for Multiphysics Metamaterial Applications
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Topics: Metamaterials, Periodic structures, Triply periodic minimal surfaces, Acoustics, Geometry, Absorption, Additive manufacturing, Alloys, Architecture, Design
Proceedings Papers

Automated Functional Basis Modeling Using Multi-Label Machine Learning on 3D Models

Zachariah A. Connor, Shital Sable, Matthew I. Campbell, Robert B. Stone
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A011, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-138095
https://doi.org/10.1115/DETC2024-138095
View Paper titled, Automated Functional Basis Modeling Using Multi-Label Machine Learning on 3D Models
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Topics: Machine learning, Modeling, Three-dimensional models, Algorithms, Trains, Computer-aided design, Convolutional neural networks, Engineering systems and industry applications, Engineers, Generators
Proceedings Papers

To Quantize or Not to Quantize: Effects on Generative Models for 2D Heat Sink Design

Arthur Drake, Jun Wang, Qiuyi Chen, Ardalan Nejat, James Guest, Mark Fuge
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A017, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142052
https://doi.org/10.1115/DETC2024-142052
View Paper titled, To Quantize or Not to Quantize: Effects on Generative Models for 2D Heat Sink Design
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Topics: Design, Heat sinks, Compression, Topology, Topology optimization, Boundary-value problems, Collapse, Engineering design, Engineering simulation, Engineering systems and industry applications
Proceedings Papers

Graph Neural Network-Based Link Prediction for Highly Imbalanced Network Data

Yinshuang Xiao, Zhenghui Sha
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A005, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143786
https://doi.org/10.1115/DETC2024-143786
View Paper titled, Graph Neural Network-Based Link Prediction for Highly Imbalanced Network Data
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Topics: Complex systems, Engineering systems and industry applications, Graph neural networks, Manufacturing, Mechanical admittance, Neural network models, Performance evaluation, Preferences, Probability, Resource allocation
Proceedings Papers

Impact of Social Learning on Teamwork Efficiency in Learning-Based Self-Organized Systems

Bingling Huang, Hao Ji, Yan Jin
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A002, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143326
https://doi.org/10.1115/DETC2024-143326
View Paper titled, Impact of Social Learning on Teamwork Efficiency in Learning-Based Self-Organized Systems
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Topics: Collisions (Physics), Design, Energy efficiency, Engineering systems and industry applications, Failure, Manufacturing, Reinforcement learning, Teams, Trains
Proceedings Papers

Vibro-Impacts of a Piecewise-Linear System With a Clearance

Ata Donmez, Ahmet Kahraman
Proc. ASME. IDETC-CIE2024, Volume 9: 20th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A005, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142858
https://doi.org/10.1115/DETC2024-142858
View Paper titled, Vibro-Impacts of a Piecewise-Linear System With a Clearance
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Topics: Bifurcation, Clearances (Engineering), Design, Dynamic response, Engineering systems and industry applications, Fluctuations (Physics), Gears, Linear systems, Noise (Sound)
Proceedings Papers

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

Mohamed Elrefaie, Angela Dai, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A019, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143593
https://doi.org/10.1115/DETC2024-143593
View Paper titled, DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction
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Topics: Computational fluid dynamics, Design, Drag (Fluid dynamics), Aerodynamics, Automobiles, Automotive design, Convolutional neural networks, Deep learning, Engineering standards, Engineering systems and industry applications
Proceedings Papers

Effect of Cross-Axis Pivots Orientation on Accuracy Performance of Compliant Mechanisms

Simone Serafino, Pietro Fanghella, Matteo Verotti
Proc. ASME. IDETC-CIE2023, Volume 8: 47th Mechanisms and Robotics Conference (MR), V008T08A034, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115226
https://doi.org/10.1115/DETC2023-115226
View Paper titled, Effect of Cross-Axis Pivots Orientation on Accuracy Performance of Compliant Mechanisms
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Topics: Compliant mechanisms, Rotation, Computer simulation, Design, Bending (Stress), Engineering systems and industry applications, Kinematics, Linkages
Proceedings Papers

Reducing Data Requirements for Wiener Series Identification With Gaussian Process Priors

Joseph Massingham, Ole Nielsen, Tore Butlin
Proc. ASME. IDETC-CIE2023, Volume 10: 19th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V010T10A022, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-113497
https://doi.org/10.1115/DETC2023-113497
View Paper titled, Reducing Data Requirements for Wiener Series Identification With Gaussian Process Priors
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Topics: Algorithms, Artificial neural networks, Engineering systems and industry applications, Nonlinear dynamical systems, Physics, System identification
Proceedings Papers

Modular Origami Horn and Claw Chains

David Xing, Zhong You
Proc. ASME. IDETC-CIE2023, Volume 8: 47th Mechanisms and Robotics Conference (MR), V008T08A053, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116784
https://doi.org/10.1115/DETC2023-116784
View Paper titled, Modular Origami Horn and Claw Chains
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Topics: Chain, Shapes, Algorithms, Construction, Design, Engineering prototypes, Engineering systems and industry applications, Linkages, Robots
Proceedings Papers

A Visual Representation of Engineering Catalogs Using Variational Autoencoders

Saketh Sridhara, Krishnan Suresh
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A020, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115029
https://doi.org/10.1115/DETC2023-115029
View Paper titled, A Visual Representation of Engineering Catalogs Using Variational Autoencoders
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Topics: Artificial neural networks, Bearings, Design, Dimensions, Engineering disciplines, Engineering systems and industry applications, Errors, Motors, Product development, Visualization
Proceedings Papers

Diffusing the Optimal Topology: A Generative Optimization Approach

Giorgio Giannone, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A012, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116595
https://doi.org/10.1115/DETC2023-116595
View Paper titled, Diffusing the Optimal Topology: A Generative Optimization Approach
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Topics: Optimization, Topology, Diffusion (Physics), Approximation, Design, Engineering design, Engineering systems and industry applications, Errors, Topology optimization
Proceedings Papers

Design and Optimization of Quasi-Periodic Volumetric Microstructures by Aperiodic Tiling and Implicit Function

Jun Wang, Rahul Rai
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A041, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116668
https://doi.org/10.1115/DETC2023-116668
View Paper titled, Design and Optimization of Quasi-Periodic Volumetric Microstructures by Aperiodic Tiling and Implicit Function
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Topics: Design, Optimization, Periodic structures, Engineering systems and industry applications, Stress, Tiles, Weight (Mass)
Proceedings Papers

A Reliability-Based Optimization Framework for Planning Operational Profiles for Unmanned Systems

Indranil Hazra, Arko Chatterjee, Joseph Southgate, Matthew J. Weiner, Katrina M. Groth, Shapour Azarm
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A047, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116586
https://doi.org/10.1115/DETC2023-116586
View Paper titled, A Reliability-Based Optimization Framework for Planning Operational Profiles for Unmanned Systems
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Topics: Reliability-based optimization, Optimization, Reliability, Bayesian network, Control systems, Cooling, Engineering systems and industry applications, Engines, Event history analysis, Maintainability
Proceedings Papers

Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems

Zeda Xu, Chloe Hong, Nicolás F. Soria Zurita, Joshua T. Gyory, Gary Stump, Hannah Nolte, Jonathan Cagan, Christopher McComb
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A056, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115176
https://doi.org/10.1115/DETC2023-115176
View Paper titled, Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems
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Topics: Design, Engineering systems and industry applications, Teams, Shock (Mechanics), Artificial intelligence, Engineering design
Proceedings Papers

Quantification Model Uncertainty of Label-Free Machine Learning for Multidisciplinary Systems Analysis

Huiru Li, Jitesh H. Panchal, Xiaoping Du
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A045, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-112948
https://doi.org/10.1115/DETC2023-112948
View Paper titled, Quantification Model Uncertainty of Label-Free Machine Learning for Multidisciplinary Systems Analysis
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Topics: Artificial neural networks, Machine learning, Systems analysis, Uncertainty, Errors, Engineering disciplines, Combustion, Design, Engineering systems and industry applications, Uncertainty quantification
Proceedings Papers

Chat Generative Pretrained Transformer: Extinction of the Designer or Rise of an Augmented Designer

Amaninder Singh Gill
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A063, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116971
https://doi.org/10.1115/DETC2023-116971
View Paper titled, Chat Generative Pretrained Transformer: Extinction of the Designer or Rise of an Augmented Designer
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Topics: Conceptual design, Design, Education, Engineering systems and industry applications, Generative design
Proceedings Papers

Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems

Anh Tran, Kathryn Maupin, Ankush Kumar Mishra, Zhen Hu, Chao Hu
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A012, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116555
https://doi.org/10.1115/DETC2023-116555
View Paper titled, Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems
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Topics: Approximation, Design, Dimensions, Engineering systems and industry applications, Machine learning, Metamodeling, Optimization, Sensitivity analysis, Uncertainty quantification