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Proceedings Papers

A Learning Framework for Enabling Robots to Autonomously Dispense Granular Material On-Demand

Jeon Ho Kang, Rishabh Shukla, Moksh Mehta, Satyandra K. Gupta
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A048, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143858
https://doi.org/10.1115/DETC2024-143858
View Paper titled, A Learning Framework for Enabling Robots to Autonomously Dispense Granular Material On-Demand
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Topics: Granular materials, Robots, Containers, End effectors, Feedback, Geometry, Inverse problems, Sensors, Uncertainty
Proceedings Papers

Augmenting Bayesian Inference-Based Damage Diagnostics of Miter Gates Based on Image Translation

Yichao Zeng, Jice Zeng, Michael D. Todd, Zhen Hu
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A041, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143636
https://doi.org/10.1115/DETC2024-143636
View Paper titled, Augmenting Bayesian Inference-Based Damage Diagnostics of Miter Gates Based on Image Translation
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Topics: Damage, Gates (Closures), Architecture, Cycles, Generative adversarial networks, Sensors, Structural health monitoring, Uncertainty
Proceedings Papers

High-Dimensional Variance-Based Adaptive Sampling for Prediction of Aerodynamic Flows Using Non-Intrusive Reduced Order Models

Abhijnan Dikshit, Leifur Leifsson
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A036, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-140650
https://doi.org/10.1115/DETC2024-140650
View Paper titled, High-Dimensional Variance-Based Adaptive Sampling for Prediction of Aerodynamic Flows Using Non-Intrusive Reduced Order Models
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Topics: Aerodynamic flow, Modeling, Uncertainty, Errors, Aerodynamics, Algorithms, Construction, Engineering simulation, Pressure, Shock waves
Proceedings Papers

Advancing Vehicle Trajectory Prediction: A Probabilistic Approach Using Combined Sequential Models

Lichuan Ren, Zhimin Xi
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A039, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143361
https://doi.org/10.1115/DETC2024-143361
View Paper titled, Advancing Vehicle Trajectory Prediction: A Probabilistic Approach Using Combined Sequential Models
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Topics: Autonomous vehicles, Trajectories (Physics), Uncertainty, Vehicles
Proceedings Papers

Effects of Image Uncertainty on Blood Flow Simulation

Huiru Li, Huidan Yu, Jie Wei, Xiaoping Du
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A037, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-141625
https://doi.org/10.1115/DETC2024-141625
View Paper titled, Effects of Image Uncertainty on Blood Flow Simulation
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Topics: Blood flow, Computational fluid dynamics, Shapes, Simulation, Uncertainty, Image segmentation, Flow (Dynamics), Pressure, Vessels, Blood vessels
Proceedings Papers

Metareasoning to Adapt Path Planning Decision Making for Different Modalities of Uncertainty

Eashwar Sathyamurthy, John Richardson, Jeffrey W. Herrmann, Adrienne Raglin
Proc. ASME. IDETC-CIE2024, Volume 9: 20th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A028, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143564
https://doi.org/10.1115/DETC2024-143564
View Paper titled, Metareasoning to Adapt Path Planning Decision Making for Different Modalities of Uncertainty
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Topics: Decision making, Path planning, Uncertainty, Simulation, Vehicles, Robots, Simulation results
Proceedings Papers

Inertia Parameter Identification for Closed-Loop Mechanisms: Adaptation of Linear Regression for Coordinate Partitioning

Lauri Pyrhönen, Aki Mikkola, Frank Naets
Proc. ASME. IDETC-CIE2023, Volume 10: 19th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V010T10A029, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114891
https://doi.org/10.1115/DETC2023-114891
View Paper titled, Inertia Parameter Identification for Closed-Loop Mechanisms: Adaptation of Linear Regression for Coordinate Partitioning
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Topics: Inertia (Mechanics), Multibody systems, Differential equations, Robotics, State estimation, Uncertainty, Algebra, Algorithms, Computational mechanics, Computer software
Proceedings Papers

Tooth Bending Strength in the VHCF Area

Moritz Zalfen, Dieter Mevissen, Jens Brimmers, Christian Brecher
Proc. ASME. IDETC-CIE2023, Volume 11: 2023 International Power Transmission and Gearing Conference (PTG), V011T11A005, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114467
https://doi.org/10.1115/DETC2023-114467
View Paper titled, Tooth Bending Strength in the VHCF Area
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Topics: Bending strength, Gears, Testing, Uncertainty
Proceedings Papers

A Multi-Fidelity Gaussian Process Regression Method for Probabilistic Wind Farm Power Curve Estimation

Honglin Li, Cong Feng, Jie Zhang
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A034, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114762
https://doi.org/10.1115/DETC2023-114762
View Paper titled, A Multi-Fidelity Gaussian Process Regression Method for Probabilistic Wind Farm Power Curve Estimation
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Topics: Density, Wind farms, Wind power, Energy generation, Wind resource assessments, Wind turbines, Wind velocity, China, Computer simulation, Energy management
Proceedings Papers

A Comparison of Bayesian Acquisition Functions for Use In Surrogate Multi-Objective Feasibility Robust Optimization With Interval Uncertainty

Randall J. Kania, Shapour Azarm
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A048, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116320
https://doi.org/10.1115/DETC2023-116320
View Paper titled, A Comparison of Bayesian Acquisition Functions for Use In Surrogate Multi-Objective Feasibility Robust Optimization With Interval Uncertainty
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Topics: Optimization, Uncertainty
Proceedings Papers

An Efficient Surrogate Modeling Method for Reliability-Based Global Path Planning of Off-Road Autonomous Ground Vehicles

Jianhua Yin, Zhen Hu, Zissimos P. Mourelatos, David Gorsich, Amandeep Singh, Seth Tau
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A052, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117348
https://doi.org/10.1115/DETC2023-117348
View Paper titled, An Efficient Surrogate Modeling Method for Reliability-Based Global Path Planning of Off-Road Autonomous Ground Vehicles
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Topics: Autonomous vehicles, Metamodeling, Path planning, Reliability, Roads, Physics, Uncertainty
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

Efficient Airfoil Geometric Uncertainty Quantification Using Neural Network Models and Sequential Sampling

Pavankumar Koratikere, Leifur Leifsson
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A046, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114954
https://doi.org/10.1115/DETC2023-114954
View Paper titled, Efficient Airfoil Geometric Uncertainty Quantification Using Neural Network Models and Sequential Sampling
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Topics: Airfoils, Neural network models, Uncertainty quantification, Algorithms, Computational fluid dynamics, Uncertainty, Drag (Fluid dynamics), Engineering simulation, Optimization, Simulation
Proceedings Papers

A Multi-Objective Bayesian Optimized Human Assessed Multi-Target Generated Spectral Recommender System for Rapid Pareto Discoveries of Material Properties

Arpan Biswas, Yongtao Liu, Maxim Ziatdinov, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei Kalinin, Rama Vasudevan
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A058, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116956
https://doi.org/10.1115/DETC2023-116956
View Paper titled, A Multi-Objective Bayesian Optimized Human Assessed Multi-Target Generated Spectral Recommender System for Rapid Pareto Discoveries of Material Properties
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Topics: Materials properties, Optimization, Failure, Microscopes, Performance, Space, Spectroscopy, Thin films, Uncertainty
Proceedings Papers

Accounting for Model Uncertainty in Machine Learning Assisted Mechanical Design

Xiaoping Du
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A068, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116622
https://doi.org/10.1115/DETC2023-116622
View Paper titled, Accounting for Model Uncertainty in Machine Learning Assisted Mechanical Design
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Topics: Accounting, Design, Design engineering, Machine learning, Uncertainty
Proceedings Papers

Robust Design for Product Adaptation Considering Changes in Configurations and Parameters

Reza Deabae, Deyi Xue
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A049, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116614
https://doi.org/10.1115/DETC2023-116614
View Paper titled, Robust Design for Product Adaptation Considering Changes in Configurations and Parameters
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Topics: Design, Optimization, Uncertainty
Proceedings Papers

Fewer Triplets Than You Think: Novelty Error Converges Faster Than Triplet Violations in Ordinal Embeddings

Matthew Keeler, Mark Fuge
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A020, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116696
https://doi.org/10.1115/DETC2023-116696
View Paper titled, Fewer Triplets Than You Think: Novelty Error Converges Faster Than Triplet Violations in Ordinal Embeddings
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Topics: Errors, Sampling methods, Uncertainty, Design, Space
Proceedings Papers

Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations

Kathryn A. Maupin, Anh Tran, William E. Lewis, Michael E. Glinsky
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A007, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116989
https://doi.org/10.1115/DETC2023-116989
View Paper titled, Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations
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Topics: Metamodeling, Physics, Simulation, Uncertainty quantification, Calibration, Fuels, Magnetohydrodynamics, Compression, Computer simulation, Ignition
Proceedings Papers

Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design

Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A045, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114687
https://doi.org/10.1115/DETC2023-114687
View Paper titled, Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design
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Topics: Data-driven design, Uncertainty
Proceedings Papers

Modeling and Analysis of Uncertain Static Contact Characteristics for Revolute Clearance Joints

Sheng Liu, Haidong Yu, Bin Gu, Yong Zhao
Proc. ASME. IDETC-CIE2022, Volume 9: 18th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A002, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88965
https://doi.org/10.1115/DETC2022-88965
View Paper titled, Modeling and Analysis of Uncertain Static Contact Characteristics for Revolute Clearance Joints
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Topics: Clearances (Engineering), Modeling, Uncertainty