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Proceedings Papers

Descriptor Aided Bayesian Optimization for Mixed Variable Materials Design With High Dimensional Qualitative Variables

Akshay Iyer, Suraj Yerramilli, James M. Rondinelli, Daniel W. Apley, Wei Chen

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A049, August 14–17, 2022

Paper No: DETC2022-90177

DOI: https://doi.org/10.1115/DETC2022-90177

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Topics: Design, Optimization

Proceedings Papers

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Zihan Wang, Ran Zhuang, Weikang Xian, Jiawei Tian, Ying Li, Shikui Chen, Hongyi Xu

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A048, August 14–17, 2022

Paper No: DETC2022-89932

DOI: https://doi.org/10.1115/DETC2022-89932

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Topics: Design, Energy gap, Metamaterials, Optimization, Topology

Proceedings Papers

A Predictive Approach to Geometry Preparation for AR/VR Applications

Maximilian Peter Dammann, Wolfgang Steger, Kristin Paetzold

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A083, August 14–17, 2022

Paper No: DETC2022-88321

DOI: https://doi.org/10.1115/DETC2022-88321

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Topics: Geometry, Optimization, Product development, Virtual reality

Proceedings Papers

Experimental Investigation of Topology-Optimized Beams With Isotropic and Anisotropic Base Material Assumptions

Hajin Kim, Josephine V. Carstensen

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A033, August 14–17, 2022

Paper No: DETC2022-89001

DOI: https://doi.org/10.1115/DETC2022-89001

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Topics: Additive manufacturing, Anisotropy, Manufacturing, Optimization, Topology

Proceedings Papers

Multi-Objective Bayesian Optimization Supported by Gaussian Process Classifiers and Conditional Probabilities

Homero Valladares, Andres Tovar

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A039, August 14–17, 2022

Paper No: DETC2022-91343

DOI: https://doi.org/10.1115/DETC2022-91343

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Topics: Composite materials, Optimization, Probability

Proceedings Papers

Bi-Objective Surrogate Feasibility Robust Design Optimization Utilizing Expected Non-Dominated Improvement With Relaxation

Randall J. Kania, Shapour Azarm

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A038, August 14–17, 2022

Paper No: DETC2022-91112

DOI: https://doi.org/10.1115/DETC2022-91112

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Topics: Design, Optimization, Relaxation (Physics)

Proceedings Papers

An Algorithm for Multi-Objective Efficient Parametric Optimization

Jonathan M. Weaver-Rosen, Richard J. Malak, Jr.

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A024, August 14–17, 2022

Paper No: DETC2022-88567

DOI: https://doi.org/10.1115/DETC2022-88567

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Topics: Algorithms, Optimization, Engineering design, Optimization algorithms, Design

Proceedings Papers

Generalization of Manufacturability Algorithms for Fabricated Assemblies Based on Topology Optimization

Satchit Ramnath, Jami J. Shah, Duane Detwiler

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A015, August 14–17, 2022

Paper No: DETC2022-90110

DOI: https://doi.org/10.1115/DETC2022-90110

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Topics: Algorithms, Manufacturing, Optimization, Topology

Proceedings Papers

Conceptual Design of Cellular Auxetic Systems With Passive Adaptation to Loading

Joshua Prendergast, Manaswin Oddiraju, Mostafa Nouh, Souma Chowdhury

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A027, August 14–17, 2022

Paper No: DETC2022-90132

DOI: https://doi.org/10.1115/DETC2022-90132

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Topics: Absorption, Conceptual design, Design, Displacement, End effectors, Finite element analysis, Grippers, Optimization, Poisson ratio, Robotics

Proceedings Papers

Generative Adversarial Design Analysis of Non-Convexity in Topology Optimization

Nathan Hertlein, Andrew Gillman, Philip R. Buskohl

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A044, August 14–17, 2022

Paper No: DETC2022-89997

DOI: https://doi.org/10.1115/DETC2022-89997

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Topics: Design, Optimization, Topology, Filtration, Boundary-value problems, Filters, Fluctuations (Physics), Machine learning, Performance

Proceedings Papers

Modeling and Optimizing Multi-Stage Design With Gaussian Process Based on Surrogate Model Chain

Siyu Yang, Liangyue Jia, Jia Hao, Reza Alizadeh

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A026, August 14–17, 2022

Paper No: DETC2022-89859

DOI: https://doi.org/10.1115/DETC2022-89859

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Topics: Chain, Design, Modeling, Optimization

Proceedings Papers

Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling

Yanwen Xu, Zhuoyuan Zheng, Kanika Arora, Debbie G. Senesky, Pingfeng Wang

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A028, August 14–17, 2022

Paper No: DETC2022-91196

DOI: https://doi.org/10.1115/DETC2022-91196

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Topics: Design, Finite element model, Hall effect, Magnetic sensors, Modeling, Optimization, Physics, Sensors

Proceedings Papers

Topology Optimization of Permanent Magnets for Generators Using Level Set Methods

Jiawei Tian, Ran Zhuang, Juan Cilia, Arvind Rangarajan, Fang Luo, Jon Longtin, Shikui Chen

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A037, August 14–17, 2022

Paper No: DETC2022-90601

DOI: https://doi.org/10.1115/DETC2022-90601

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Topics: Generators, Optimization, Permanent magnets, Topology, Design, Machinery, Magnetic materials, Equipment performance, Generative design, Magnetic fields

Proceedings Papers

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Noah J. Bagazinski, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A036, August 14–17, 2022

Paper No: DETC2022-89797

DOI: https://doi.org/10.1115/DETC2022-89797

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Topics: Optimization, Ships, Design, Packing (Shipments), Packings (Cushioning), Algorithms, Architects, Hull, Shapes, Stability

Proceedings Papers

Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty

Wei (Wayne) Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A042, August 14–17, 2022

Paper No: DETC2022-89707

DOI: https://doi.org/10.1115/DETC2022-89707

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Topics: Design, Uncertainty, Manufacturing, Design under uncertainty, Optimization, Engineering design, Modeling, Reliability-based optimization, Shapes, Topology

Proceedings Papers

Hierarchical Surrogate Modeling With Multiple Order Partially Observed Information

Yanwen Xu, Pingfeng Wang

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A025, August 14–17, 2022

Paper No: DETC2022-89655

DOI: https://doi.org/10.1115/DETC2022-89655

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Topics: Metamodeling, Complex systems, Computers, Design, Engineering design, Engineering systems and industry applications, Modeling, Optimization, Pressing, Simulation

Proceedings Papers

Optimization of Self-Heated Vacuum Membrane Distillation Using Response Surface Methodology

Shaneza Fatma Rahmadhanty, Subrahmanya T. M., Wei-Song Hung, Po Ting Lin

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A034, August 14–17, 2022

Paper No: DETC2022-89491

DOI: https://doi.org/10.1115/DETC2022-89491

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Topics: Membranes, Optimization, Response surface methodology, Vacuum, Computer software, Heating, Polarization (Electricity), Polarization (Light), Polarization (Waves), Temperature

Proceedings Papers

Two-Dimensional Lineup Design of Intermediate Functional Products With Enumerative Optimization of Combinatorial Mini-Max Optimality

Kikuo Fujita, Naoki Ono, Yutaka Nomaguchi

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A047, August 14–17, 2022

Paper No: DETC2022-90899

DOI: https://doi.org/10.1115/DETC2022-90899

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Topics: Design, Optimization, Design methodology, Motors, Fans, Mechanical products, Pumps, Tradeoffs

Proceedings Papers

Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing

Toluwalase O. Olajoyegbe, Beshoy Morkos

Proc. ASME. IDETC-CIE2022, Volume 5: 27th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 14–17, 2022

Paper No: DETC2022-91294

DOI: https://doi.org/10.1115/DETC2022-91294

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Topics: Accounting, Economics , Genetic algorithms, Manufacturing, Manufacturing systems, Modeling, Optimization, Production facilities, Service life (Equipment), Sustainability

Proceedings Papers

Exploring Partitioning in Subsystem Prototyping

Zachariah Connor, Bradley Camburn

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A013, August 14–17, 2022

Paper No: DETC2022-90247

DOI: https://doi.org/10.1115/DETC2022-90247

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Topics: Complex systems, Construction, Design, Design methodology, Design theory, Engineering design, Engineering prototypes, Integrated systems, Optimization, Propulsion

2 3 4 5

NARROW

Descriptor Aided Bayesian Optimization for Mixed Variable Materials Design With High Dimensional Qualitative Variables

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

A Predictive Approach to Geometry Preparation for AR/VR Applications

Experimental Investigation of Topology-Optimized Beams With Isotropic and Anisotropic Base Material Assumptions

Multi-Objective Bayesian Optimization Supported by Gaussian Process Classifiers and Conditional Probabilities

Bi-Objective Surrogate Feasibility Robust Design Optimization Utilizing Expected Non-Dominated Improvement With Relaxation

An Algorithm for Multi-Objective Efficient Parametric Optimization

Generalization of Manufacturability Algorithms for Fabricated Assemblies Based on Topology Optimization

Conceptual Design of Cellular Auxetic Systems With Passive Adaptation to Loading

Generative Adversarial Design Analysis of Non-Convexity in Topology Optimization

Modeling and Optimizing Multi-Stage Design With Gaussian Process Based on Surrogate Model Chain

Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling

Topology Optimization of Permanent Magnets for Generators Using Level Set Methods

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty

Hierarchical Surrogate Modeling With Multiple Order Partially Observed Information

Optimization of Self-Heated Vacuum Membrane Distillation Using Response Surface Methodology

Two-Dimensional Lineup Design of Intermediate Functional Products With Enumerative Optimization of Combinatorial Mini-Max Optimality

Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing

Exploring Partitioning in Subsystem Prototyping

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