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Proceedings Papers

Multi-Fidelity Modeling for Dynamic Power Control and Optimization of Nuclear-Renewable Hybrid Energy Systems

In-Bum Chung, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A036, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116914
https://doi.org/10.1115/DETC2023-116914
View Paper titled, Multi-Fidelity Modeling for Dynamic Power Control and Optimization of Nuclear-Renewable Hybrid Energy Systems
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Topics: Energy / power systems, Modeling, Optimization
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

Control Co-Design With Varying Available Information Applied to Vehicle Suspensions

Saeid Bayat, James T. Allison
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A002, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114690
https://doi.org/10.1115/DETC2023-114690
View Paper titled, Control Co-Design With Varying Available Information Applied to Vehicle Suspensions
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Topics: Design, Optimal control, Optimization, Predictive control, Suspension systems
Proceedings Papers

Efficient Object Manipulation in Confined Space Using Compliant Based Gripper

Krushang Gabani, Yuhe Oswin Ji, Ehsan T. Esfahani
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A036, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116674
https://doi.org/10.1115/DETC2023-116674
View Paper titled, Efficient Object Manipulation in Confined Space Using Compliant Based Gripper
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Topics: Grippers, Manipulators, Algorithms, Collisions (Physics), Human-robot collaboration, Machinery, Optimization, Robotics, Stiffness
Proceedings Papers

Topology Optimization Using Neural Networks With Conditioning Field Initialization for Improved Efficiency

Hongrui Chen, Aditya Joglekar, Levent Burak Kara
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A014, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116937
https://doi.org/10.1115/DETC2023-116937
View Paper titled, Topology Optimization Using Neural Networks With Conditioning Field Initialization for Improved Efficiency
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Topics: Artificial neural networks, Topology optimization, Density, Topology, Design, Displacement, Finite element analysis, Geometry, Optimization
Proceedings Papers

Optimization of Masking Parameters for Volumetric Material Manufacturing Using Inverse Methods

Benjamin D. Graber, Athanasos P. Iliopoulos, John G. Michopoulos, John C. Steuben, Andrew J. Birnbaum, Nicole A. Apetre, Edward P. Gorzkowski, Eric A. Patterson, Andrew B. Geltmacher
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A008, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117030
https://doi.org/10.1115/DETC2023-117030
View Paper titled, Optimization of Masking Parameters for Volumetric Material Manufacturing Using Inverse Methods
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Topics: Manufacturing, Optimization, Shapes, Cavities, Design, Heating, Heat, Additive manufacturing, Density, Electromagnetic force
Proceedings Papers

Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning

Noah J. Bagazinski, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A028, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117003
https://doi.org/10.1115/DETC2023-117003
View Paper titled, Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning
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Topics: Design, Hull, Machine learning, Optimization, Ships, Naval architecture, Drag (Fluid dynamics), Cycles, Computational methods, Computer-aided design
Proceedings Papers

Counterfactuals for Design: A Model-Agnostic Method for Design Recommendations

Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A008, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117216
https://doi.org/10.1115/DETC2023-117216
View Paper titled, Counterfactuals for Design: A Model-Agnostic Method for Design Recommendations
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Topics: Design, Design automation, Weight (Mass), Bicycles, Collaboration, Optimization, Pareto optimization, Safety, Tradeoffs, Visualization
Proceedings Papers

Control Co-Design With Approximate Explicit Model Predictive Controllers

Ying-Kuan Tsai, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A001, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-109551
https://doi.org/10.1115/DETC2023-109551
View Paper titled, Control Co-Design With Approximate Explicit Model Predictive Controllers
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Topics: Control equipment, Design, Stability, Optimization, Probability, Approximation, Control systems, Decision making, Dynamic systems, Errors
Proceedings Papers

Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction

Jangseop Park, Namwoo Kang
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A009, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-113308
https://doi.org/10.1115/DETC2023-113308
View Paper titled, Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction
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Topics: Artificial neural networks, Computer-aided design, Computer-aided engineering, Design, Metamodeling, 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

Build Orientation Optimization for Five-Axis 3D Printing

Ghazi Alonayni, Matthew I. Campbell
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A040, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-111726
https://doi.org/10.1115/DETC2023-111726
View Paper titled, Build Orientation Optimization for Five-Axis 3D Printing
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Topics: Additive manufacturing, Optimization, Surface quality, Printing, Stability, Manufacturing
Proceedings Papers

When Is it Actually Worth Learning Inverse Design?

Milad Habibi, Jun Wang, Mark Fuge
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A025, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116678
https://doi.org/10.1115/DETC2023-116678
View Paper titled, When Is it Actually Worth Learning Inverse Design?
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Topics: Design, Topology optimization, Optimization, Artificial neural networks, Design methodology, Machine learning, Physics, Shapes
Proceedings Papers

System Level Techno-Economic and Environmental Design Optimization for Ocean Wave Energy

Rebecca McCabe, Madison Dietrich, Alan Liu, Maha Haji
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A033, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114607
https://doi.org/10.1115/DETC2023-114607
View Paper titled, System Level Techno-Economic and Environmental Design Optimization for Ocean Wave Energy
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Topics: Design, Economics , Optimization, Wave energy, Architecture, Ocean waves, Renewable energy, Sustainability, Wave energy converters
Proceedings Papers

Generating Large Datasets of Simplified Automotive Body-in-White Structures to Predict Springback Using Machine Learning

Abhishek Lokesh Bolar, Ibraheem Alawadhi, Satchit Ramnath, Prakash Kumar, Yannis Korkolis, Joseph K. Davidson, Jami J. Shah
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A042, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116842
https://doi.org/10.1115/DETC2023-116842
View Paper titled, Generating Large Datasets of Simplified Automotive Body-in-White Structures to Predict Springback Using Machine Learning
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Topics: Finite element analysis, Joining, Machine learning, Metal stamping, Sheet metal, Workflow, Manufacturing, Design, Residual stresses, Simulation
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

Three-Dimensional Symmetric Tossing Motion Prediction – A Pilot Study

Seunghun Lee, James Yang
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A068, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117336
https://doi.org/10.1115/DETC2023-117336
View Paper titled, Three-Dimensional Symmetric Tossing Motion Prediction – A Pilot Study
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Topics: B-splines, Data collection, Degrees of freedom, Design, Dynamics (Mechanics), Equations of motion, Kinematics, Materials handling, Occupational safety and health, Optimization
Proceedings Papers

Mitigating the Effects of Source-Dependent Bias and Noise on Multi-Source Bayesian Optimization: Application to Materials Design

Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A010, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114414
https://doi.org/10.1115/DETC2023-114414
View Paper titled, Mitigating the Effects of Source-Dependent Bias and Noise on Multi-Source Bayesian Optimization: Application to Materials Design
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Topics: Design, Noise (Sound), Optimization
Proceedings Papers

Constrained Bayesian Optimization Methods Using Regression and Classification Gaussian Processes As Constraints

Cole Jetton, Chengda Li, Christopher Hoyle
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A033, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-109993
https://doi.org/10.1115/DETC2023-109993
View Paper titled, Constrained Bayesian Optimization Methods Using Regression and Classification Gaussian Processes As Constraints
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Topics: Optimization
Proceedings Papers

How Does Agency Impact Human-AI Collaborative Design Space Exploration? A Case Study on Ship Design With Deep Generative Models

Shahroz Khan, Panagiotis Kaklis, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A055, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-112570
https://doi.org/10.1115/DETC2023-112570
View Paper titled, How Does Agency Impact Human-AI Collaborative Design Space Exploration? A Case Study on Ship Design With Deep Generative Models
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Topics: Design, Naval architecture, Plasma spectroscopy, Ships, Generative design, Hull, Optimization, Preferences, Space, Tradeoffs