Search Results | IDETC-CIE | ASME Digital Collection

1-20 of 158

2 3 4 5

Sort by

Sort Order Select

Proceedings Papers

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A070, August 14–17, 2022

Paper No: DETC2022-88313

DOI: https://doi.org/10.1115/DETC2022-88313

View Paper

Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes

Proceedings Papers

Multi-Fidelity Physics-Constrained Neural Networks With Minimax Architecture for Materials Modeling

Dehao Liu, Pranav Pusarla, Yan Wang

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A011, August 14–17, 2022

Paper No: DETC2022-91219

DOI: https://doi.org/10.1115/DETC2022-91219

View Paper

Topics: Artificial neural networks, Machine learning, Modeling, Optimization, Physics

Proceedings Papers

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Fabian Dworschak, Christopher Sauer, Benjamin Schleich, Sandro Wartzack

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A001, August 14–17, 2022

Paper No: DETC2022-89073

DOI: https://doi.org/10.1115/DETC2022-89073

View Paper

Topics: Design, Metalworking, Reinforcement learning, Genetic algorithms, Machine learning, Manufacturing, Pareto optimization, Probes

Proceedings Papers

Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms

Douglas L. Van Bossuyt, Britta Hale, Ryan M. Arlitt, Nikolaos Papakonstantinou

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A058, August 14–17, 2022

Paper No: DETC2022-90067

DOI: https://doi.org/10.1115/DETC2022-90067

View Paper

Topics: Modeling, Ocean engineering, Wind farms, Decision making, Silicon-on-sapphire, Economics , Machine learning, Defense industry, Maintenance, Risk

Proceedings Papers

A Constraint-Handling Technique for Parametric Optimization and Control Co-Design

Ying-Kuan Tsai, Richard J. Malak, Jr.

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A009, August 14–17, 2022

Paper No: DETC2022-89957

DOI: https://doi.org/10.1115/DETC2022-89957

View Paper

Topics: Design, Optimization, Genetic algorithms, Pendulums, Support vector machines, Algorithms, Control equipment, Control systems, Dynamics (Mechanics), Machine learning

Proceedings Papers

t-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning

Doksoo Lee, Yu-Chin Chan, Wei (Wayne) Chen, Liwei Wang, Wei Chen

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A011, August 14–17, 2022

Paper No: DETC2022-87653

DOI: https://doi.org/10.1115/DETC2022-87653

View Paper

Topics: Metamaterials, Design, Data acquisition, Shapes, Data-driven design, Architecture, Machine learning

Proceedings Papers

Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation

Wentai Zhang, Quan Chen, Can Koz, Liuyue Xie, Amit Regmi, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A016, August 14–17, 2022

Paper No: DETC2022-91043

DOI: https://doi.org/10.1115/DETC2022-91043

View Paper

Topics: Engineering drawings, Image segmentation, Computers, Machinery, Design, Dimensions, Machine learning, Manufacturing

Proceedings Papers

A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes

Nowrin Akter Surovi, Shaista Hussain, Gim Song Soh

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A002, August 14–17, 2022

Paper No: DETC2022-89164

DOI: https://doi.org/10.1115/DETC2022-89164

View Paper

Topics: Additive manufacturing, Flaw detection, Machine learning, Wire, Acoustics, Printing, Support vector machines, Pressure

Proceedings Papers

Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer

Sina Rastegarzadeh, Jun Wang, Jida Huang

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A041, August 14–17, 2022

Paper No: DETC2022-89538

DOI: https://doi.org/10.1115/DETC2022-89538

View Paper

Topics: Optimization, Topology, Design, Machine learning, Resolution (Optics), Structural design, Artificial neural networks, Density, Filters, Interpolation

Proceedings Papers

Uncertainty Quantification for Dissimilar Material Joints Under Corrosion Environment

Parth Bansal, Zhuoyuan Zheng, Yumeng Li

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A039, August 14–17, 2022

Paper No: DETC2022-89654

DOI: https://doi.org/10.1115/DETC2022-89654

View Paper

Topics: Corrosion, Machine learning, Physics, Resilience, Uncertainty quantification

Proceedings Papers

Normalization and Dimension Reduction for Machine Learning in Advanced Manufacturing

Jida Huang, Tsz-Ho Kwok

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A042, August 14–17, 2022

Paper No: DETC2022-89921

DOI: https://doi.org/10.1115/DETC2022-89921

View Paper

Topics: Dimensions, Machine learning, Manufacturing, Additive manufacturing, Casting, Data collection, Milling, Principal component analysis

Proceedings Papers

Machine Learning Models for Predicting Deflection and Shape of 2D Cantilever Beams

Yi Jin, Hai-Jun Su

Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A006, August 14–17, 2022

Paper No: DETC2022-89694

DOI: https://doi.org/10.1115/DETC2022-89694

View Paper

Topics: Cantilever beams, Compliant mechanisms, Deflection, Machine learning, Shapes

Proceedings Papers

Design and Development of a Sit-To-Stand Device Using A Variational Autoencoder-Based Deep Neural Network

Zhijie Lyu, Anurag Purwar

Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A027, August 14–17, 2022

Paper No: DETC2022-90494

DOI: https://doi.org/10.1115/DETC2022-90494

View Paper

Topics: Artificial neural networks, Design, Machine learning

Proceedings Papers

Integrated Computational Materials Engineering With Monotonic Gaussian Processes

Anh Tran, Kathryn Maupin, Theron Rodgers

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A038, August 14–17, 2022

Paper No: DETC2022-89213

DOI: https://doi.org/10.1115/DETC2022-89213

View Paper

Topics: Interpolation, Machine learning, Materials science, Physics, Trains

Proceedings Papers

Surrogate Models and Time Series for Flow Prediction on the Red River Dam Network

Reza Alizadeh, Janet K. Allen, Farrokh Mistree

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A023, August 14–17, 2022

Paper No: DETC2022-88163

DOI: https://doi.org/10.1115/DETC2022-88163

View Paper

Topics: Artificial neural networks, Dams, Flow (Dynamics), Machine learning, Metamodeling, Rivers, Time series

Proceedings Papers

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

Huiru Li, Jianhua Yin, Xiaoping Du

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A001, August 14–17, 2022

Paper No: DETC2022-88277

DOI: https://doi.org/10.1115/DETC2022-88277

View Paper

Topics: Physics, Reliability, Uncertainty, Uncertainty quantification, Artificial neural networks, Errors, Machine learning, Design, Linkages, Regression models

Proceedings Papers

Automated and Customized CAD Drawings by Utilizing Machine Learning Algorithms: A Case Study

Javier Villena Toro, Mehdi Tarkian

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A040, August 14–17, 2022

Paper No: DETC2022-88971

DOI: https://doi.org/10.1115/DETC2022-88971

View Paper

Topics: Algorithms, Computer-aided design, Engineering drawings, Machine learning, Artificial neural networks, Computer software, Dimensions, Geometry, Personnel management, Trains

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

View Paper

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

Proceedings Papers

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Lyle Regenwetter, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A046, August 14–17, 2022

Paper No: DETC2022-91344

DOI: https://doi.org/10.1115/DETC2022-91344

View Paper

Topics: Design, Algorithms, Bicycles, Machine learning

Proceedings Papers

Short Paper: An Initial Investigation of the Correlations Between the Quality of Engineering Assignments and Task-Independent Features

Wanyu Xu, Daniel A. McAdams, Andreas A. Polycarpou

Proc. ASME. IDETC-CIE2022, Volume 4: 19th International Conference on Design Education (DEC), V004T04A011, August 14–17, 2022

Paper No: DETC2022-91031

DOI: https://doi.org/10.1115/DETC2022-91031

View Paper

Topics: Design, Design education, Errors, Machine learning, Mechanical engineering, Teaching

2 3 4 5

NARROW

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Multi-Fidelity Physics-Constrained Neural Networks With Minimax Architecture for Materials Modeling

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms

A Constraint-Handling Technique for Parametric Optimization and Control Co-Design

t-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning

Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation

A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes

Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer

Uncertainty Quantification for Dissimilar Material Joints Under Corrosion Environment

Normalization and Dimension Reduction for Machine Learning in Advanced Manufacturing

Machine Learning Models for Predicting Deflection and Shape of 2D Cantilever Beams

Design and Development of a Sit-To-Stand Device Using A Variational Autoencoder-Based Deep Neural Network

Integrated Computational Materials Engineering With Monotonic Gaussian Processes

Surrogate Models and Time Series for Flow Prediction on the Red River Dam Network

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

Automated and Customized CAD Drawings by Utilizing Machine Learning Algorithms: A Case Study

Generative Adversarial Design Analysis of Non-Convexity in Topology Optimization

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Short Paper: An Initial Investigation of the Correlations Between the Quality of Engineering Assignments and Task-Independent Features

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only