Search Results | IDETC-CIE | ASME Digital Collection

1-20 of 247

2 3 4 5

Sort by

Sort Order Select

Proceedings Papers

Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion

Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A004, August 17–19, 2021

Paper No: DETC2021-70557

DOI: https://doi.org/10.1115/DETC2021-70557

View Paper

Topics: Artificial neural networks, Lasers, Metals, Physics, Thermal analysis, Engineering simulation, Machine learning, Manufacturing, Simulation, Transients (Dynamics)

Proceedings Papers

Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

Adam Thelen, Yu Hui Lui, Sheng Shen, Simon Laflamme, Shan Hu, Chao Hu

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A041, August 17–19, 2021

Paper No: DETC2021-71407

DOI: https://doi.org/10.1115/DETC2021-71407

View Paper

Topics: Lithium-ion batteries, Machine learning, Physics

Proceedings Papers

Sequentially Working Origami Multi-Physics Simulator (SWOMPS): A Versatile Implementation

Yi Zhu, Evgueni T. Filipov

Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A034, August 17–19, 2021

Paper No: DETC2021-68042

DOI: https://doi.org/10.1115/DETC2021-68042

View Paper

Topics: Physics, Stress, Deformation, Design, Heat transfer, Kinematics, Optimization, Simulation

Proceedings Papers

Deep Learning-Based Surrogate Modeling via Physics-Informed Artificial Image (PIAI) for Strongly Coupled Multidisciplinary Engineering Systems

Sungkun Hwang, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A033, August 17–19, 2021

Paper No: DETC2021-72099

DOI: https://doi.org/10.1115/DETC2021-72099

View Paper

Topics: Engineering systems and industry applications, Metamodeling, Physics, Design, Simulation, Cantilever beams, Computer-aided design, Engineering design, Engineering disciplines, Filters

Proceedings Papers

Predicting the Material Removal Rate in Chemical Mechanical Planarization Process: A Hypergraph Neural Network-Based Approach

Liqiao Xia, Pai Zheng, Chao Liu

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A057, August 17–19, 2021

Paper No: DETC2021-68250

DOI: https://doi.org/10.1115/DETC2021-68250

View Paper

Topics: Artificial neural networks, Manufacturing, Modeling, Physics, Semiconductor industry

Proceedings Papers

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios

Aaron Young, Jay Taves, Asher Elmquist, Radu Serban, Dan Negrut, Simone Benatti, Alessandro Tasora

Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A022, August 17–19, 2021

Paper No: DETC2021-67070

DOI: https://doi.org/10.1115/DETC2021-67070

View Paper

Topics: Artificial intelligence, Mechanical admittance, Physics, Roads, Simulation, Sensors, Testing, Engines, Vehicles, American Petroleum Institute

Proceedings Papers

Multiple Harmonic Lissajous Scanning Patterns for Endomicroscopy With Parametrically-Resonant Micro-Mirrors

Nicholas Chan, Miki Lee, Haijun Lee, Thomas D. Wang, Kenn R. Oldham

Proc. ASME. IDETC-CIE2021, Volume 11: 15th International Conference on Micro- and Nanosystems (MNS), V011T11A011, August 17–19, 2021

Paper No: DETC2021-71280

DOI: https://doi.org/10.1115/DETC2021-71280

View Paper

Topics: Microelectromechanical systems, Mirrors, Resonance, Simulation, Oscillations, Density, Imaging, Waves, Dynamics (Mechanics), Endoscopic devices

Proceedings Papers

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Matthew Li, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A001, August 17–19, 2021

Paper No: DETC2021-66719

DOI: https://doi.org/10.1115/DETC2021-66719

View Paper

Topics: Engineering simulation, Fluids, Physics, Resolution (Optics), Simulation, Fluid dynamics, Computational fluid dynamics, Engineering design, Machine learning, Turbulence

Proceedings Papers

Potential Energy Surfaces for Conceptual Design and Analysis of Mechanical Systems

Charles A. Manion, Mark Fuge

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A006, August 17–19, 2021

Paper No: DETC2021-70921

DOI: https://doi.org/10.1115/DETC2021-70921

View Paper

Topics: Conceptual design, Potential energy, Kinematics, Modeling, Simulation, Space, Clocks, Design, Dynamics (Mechanics), Lenses (Optics)

Proceedings Papers

Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering

Kevin N. Chiu, David Anderson, Mark D. Fuge

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A013, August 17–19, 2021

Paper No: DETC2021-69328

DOI: https://doi.org/10.1115/DETC2021-69328

View Paper

Topics: Algorithms, Computers, Density, Design methodology, Electromagnetic fields, Encryption, Engineers, Fluidic devices, Lift (Fluid dynamics), Noise (Sound)

Proceedings Papers

A New Triangle: Fractional Calculus, Renormalization Group, and Machine Learning

Haoyu Niu, YangQuan Chen, Lihong Guo, Bruce J. West

Proc. ASME. IDETC-CIE2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A022, August 17–19, 2021

Paper No: DETC2021-70505

DOI: https://doi.org/10.1115/DETC2021-70505

View Paper

Topics: Machine learning, Renormalization (Physics), Optimization, Artificial neural networks, Complex systems, Creativity, Degrees of freedom, Design, Dynamic systems, Feature extraction

Proceedings Papers

SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations

Umar Farooq Ghumman, Anton van Beek, Joydeep Munshi, TeYu Chien, Ganesh Balasubramanian, Wei Chen

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A005, August 17–19, 2021

Paper No: DETC2021-71595

DOI: https://doi.org/10.1115/DETC2021-71595

View Paper

Topics: Design, Molecular dynamics simulation, Optimization, Process design, Solar cells, Spectral energy distribution, Annealing, Energy conversion, Metals, Photovoltaic cells

Proceedings Papers

A Bayesian Approach to Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data

Huiru Li, Xiaoping Du

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A009, August 17–19, 2021

Paper No: DETC2021-67958

DOI: https://doi.org/10.1115/DETC2021-67958

View Paper

Topics: Physics, Reliability

Proceedings Papers

An Introduction to 3D SPI2 (Spatial Packaging of Interconnected Systems With Physics Interactions) Design Problems: A Review of Related Work, Existing Gaps, Challenges, and Opportunities

Satya R. T. Peddada, Lawrence E. Zeidner, Kai A. James, James T. Allison

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A034, August 17–19, 2021

Paper No: DETC2021-72106

DOI: https://doi.org/10.1115/DETC2021-72106

View Paper

Topics: Design, Packaging, Physics, Design automation, Aircraft, Cycles, Design methodology, Energy consumption, Engineering systems and industry applications, Packing (Shipments)

Proceedings Papers

Design Relations

James R. Rinderle, Eric R. Colburn

Proc. ASME. DETC90, 2nd International Conference on Design Theory and Methodology, 267-272, September 16–19, 1990

Paper No: DETC1990-0135

DOI: https://doi.org/10.1115/DETC1990-0135

View Paper

Topics: Design, Optimization, Physics

Proceedings Papers

The Use of Qualitative Physics for Integrated Design Object Modeling

Takashi Kiriyama, Tetsuo Tomiyama, Hiroyuki Yoshikawa

Proc. ASME. DETC91, 3rd International Conference on Design Theory and Methodology, 53-60, September 22–25, 1991

Paper No: DETC1991-0030

DOI: https://doi.org/10.1115/DETC1991-0030

View Paper

Topics: Design, Modeling, Physics, Computer-aided design

Proceedings Papers

A Design Methodology for a Self-Maintenance Machine

Yasushi Umeda, Tetsuo Tomiyama, Hiroyuki Yoshikawa

Proc. ASME. DETC91, 3rd International Conference on Design Theory and Methodology, 143-150, September 22–25, 1991

Paper No: DETC1991-0041

DOI: https://doi.org/10.1115/DETC1991-0041

View Paper

Topics: Design methodology, Machinery, Maintenance, Redundancy (Engineering), Engineering prototypes, Physics

Proceedings Papers

Automated Gating Plan Synthesis for Injection Molds

Mukul Saxena, Rohinton K. Irani

Proc. ASME. CIE92, ASME 1992 International Computers in Engineering Conference: Volume 1 — Artificial Intelligence; Expert Systems; CAD/CAM/CAE; Computers in Fluid Mechanics/Thermal Systems, 381-389, August 2–6, 1992

Paper No: CIE1992-0046

DOI: https://doi.org/10.1115/CIE1992-0046

View Paper

Topics: Design, Generators, Geometry, Modeling, Octrees, Physics, Topology

Proceedings Papers

The PIER Parallel FEA Program Generator

Naveen Sharma, Paul S. Wang

Proc. ASME. CIE93, 13th Computers in Engineering Conference, 295-306, August 8–12, 1993

Paper No: CIE1993-0036

DOI: https://doi.org/10.1115/CIE1993-0036

View Paper

Topics: Finite element analysis, Generators, Computers, Computation, Algebra, Architecture, Computer software, Dimensions, Elasticity, Liquid crystals

Proceedings Papers

Design for Injection Molding: Using Dimensional Analysis to Assess Fillability

Douglas C. Mehl, Kurt A. Beiter, Kos Ishii

Proc. ASME. DETC94, 20th Design Automation Conference: Volume 1 — Dynamic Mechanical Systems; Geometric Modeling and Features; Concurrent Engineering, 427-434, September 11–14, 1994

Paper No: DETC1994-0085

DOI: https://doi.org/10.1115/DETC1994-0085

View Paper

Topics: Design, Dimensional analysis, Injection molding, Process simulation, Wall thickness, Flow (Dynamics), Geometry, Injection molded plastics, Physics, Simulation

2 3 4 5

NARROW

Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion

Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

Sequentially Working Origami Multi-Physics Simulator (SWOMPS): A Versatile Implementation

Deep Learning-Based Surrogate Modeling via Physics-Informed Artificial Image (PIAI) for Strongly Coupled Multidisciplinary Engineering Systems

Predicting the Material Removal Rate in Chemical Mechanical Planarization Process: A Hypergraph Neural Network-Based Approach

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios

Multiple Harmonic Lissajous Scanning Patterns for Endomicroscopy With Parametrically-Resonant Micro-Mirrors

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Potential Energy Surfaces for Conceptual Design and Analysis of Mechanical Systems

Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering

A New Triangle: Fractional Calculus, Renormalization Group, and Machine Learning

SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations

A Bayesian Approach to Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data

An Introduction to 3D SPI2 (Spatial Packaging of Interconnected Systems With Physics Interactions) Design Problems: A Review of Related Work, Existing Gaps, Challenges, and Opportunities

Design Relations

The Use of Qualitative Physics for Integrated Design Object Modeling

A Design Methodology for a Self-Maintenance Machine

Automated Gating Plan Synthesis for Injection Molds

The PIER Parallel FEA Program Generator

Design for Injection Molding: Using Dimensional Analysis to Assess Fillability

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only