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Proceedings Papers

Intelligent Design Prediction Aided by Non-Uniform Parametric Study and Machine Learning in Feature Based Product Development

Satchit Ramnath, Jiachen Ma, Jami J. Shah, Duane Detwiler

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A025, August 17–19, 2021

Paper No: DETC2021-67923

DOI: https://doi.org/10.1115/DETC2021-67923

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Topics: Design, Machine learning, Product development, Finite element analysis, Algorithms, Engineers, Experimental design, Parametric design, Stress

Proceedings Papers

Predicting Mechanical Properties of 3D Printed Lattice Structures

Shuai Ma, Qian Tang, Ying Liu, Qixiang Feng

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A053, August 17–19, 2021

Paper No: DETC2021-70249

DOI: https://doi.org/10.1115/DETC2021-70249

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Topics: Additive manufacturing, Machine learning, Mechanical properties

Proceedings Papers

Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco

Carolyn Sheline, Amos Winter, V

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A016, August 17–19, 2021

Paper No: DETC2021-70571

DOI: https://doi.org/10.1115/DETC2021-70571

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Topics: Machine learning, Water, Weather forecasting, Irrigation (Agriculture), Meteorology, Precipitation

Proceedings Papers

Gradient-Enhanced Multifidelity Neural Networks for High-Dimensional Function Approximation

Jethro Nagawkar, Leifur Leifsson

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A040, August 17–19, 2021

Paper No: DETC2021-70502

DOI: https://doi.org/10.1115/DETC2021-70502

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Topics: Artificial neural networks, Function approximation, Algorithms, Construction, Machine learning

Proceedings Papers

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Kristen M. Edwards, Aoran Peng, Scarlett R. Miller, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A011, August 17–19, 2021

Paper No: DETC2021-70158

DOI: https://doi.org/10.1115/DETC2021-70158

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Topics: Design, Machine learning, Natural language processing, Nonlinear programming, Creativity, Innovation, Semantics

Proceedings Papers

Myoelectric Control of Robotic Leg Prostheses and Exoskeletons: A Review

Ali Nasr, Brokoslaw Laschowski, John McPhee

Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A043, August 17–19, 2021

Paper No: DETC2021-69203

DOI: https://doi.org/10.1115/DETC2021-69203

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Topics: Exoskeleton devices, Prostheses, Robotics, Electromyography, Actuators, Algorithms, Control equipment, Control systems, Signals, Adaptive control

Proceedings Papers

Gait Prediction and Mechanism Design for 1-DOF Lower Limb Rehabilitation Devices Based on Machine Learning

Wanbing Song, Yating Zhang, Zhaojie Ge, Ping Zhao

Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A045, August 17–19, 2021

Paper No: DETC2021-70009

DOI: https://doi.org/10.1115/DETC2021-70009

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Topics: Design, Machine learning, Patient rehabilitation, Rehabilitation devices, Trajectories (Physics), Algorithms, Machinery, Shapes, Support vector machines, Trains

Proceedings Papers

Informed Latent Space Exploration for Image-Based Path Synthesis of Linkages

Shrinath Deshpande, Zhijie Lyu, Anurag Purwar

Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A037, August 17–19, 2021

Paper No: DETC2021-71629

DOI: https://doi.org/10.1115/DETC2021-71629

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Topics: Linkages, Machine learning, Kinematics, Artificial neural networks, Design, Errors, Machine design, Optimization, Pipelines, Statistical distributions

Proceedings Papers

Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A018, August 17–19, 2021

Paper No: DETC2021-71570

DOI: https://doi.org/10.1115/DETC2021-71570

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Topics: Data-driven design, Design, Metamodeling, Optimization, Topology, Machine learning, Architecture, Blocks (Building materials), Compliant mechanisms, Metamaterials

Proceedings Papers

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

Lyle Regenwetter, Brent Curry, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A019, August 17–19, 2021

Paper No: DETC2021-71681

DOI: https://doi.org/10.1115/DETC2021-71681

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Topics: Bicycles, Data-driven design, Design, Machine learning, Design methodology, Manufacturing

Proceedings Papers

Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment

Shuaizhou Hu, Xinyao Zhang, Hao-yu Liao, Xiao Liang, Minghui Zheng, Sara Behdad

Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A029, August 17–19, 2021

Paper No: DETC2021-71403

DOI: https://doi.org/10.1115/DETC2021-71403

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Topics: Electronic equipment, Laptop computers, Machine learning

Proceedings Papers

Machine Learning to Predict Medical Devices Repair and Maintenance Needs

Hao-yu Liao, Karthik Boregowda, Willie Cade, Sara Behdad

Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 17–19, 2021

Paper No: DETC2021-71333

DOI: https://doi.org/10.1115/DETC2021-71333

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Topics: Machine learning, Maintenance, Medical devices

Proceedings Papers

Using Machine Learning for the Classification of the Remaining Useful Cycles in Lithium-Ion Batteries

Harry Coutts, Qing Wang

Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A014, August 17–19, 2021

Paper No: DETC2021-69647

DOI: https://doi.org/10.1115/DETC2021-69647

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Topics: Cycles, Lithium-ion batteries, Machine learning, Batteries, Algorithms, Chemistry, User interfaces, Economics , Lithium, Renewable energy

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

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

Proceedings Papers

Data Augmentation for Roller Bearing Health Indicator Estimation Using Multi-Channel Frequency Data Representations

Jacob Hendriks, Patrick Dumond

Proc. ASME. IDETC-CIE2021, Volume 10: 33rd Conference on Mechanical Vibration and Sound (VIB), V010T10A011, August 17–19, 2021

Paper No: DETC2021-66701

DOI: https://doi.org/10.1115/DETC2021-66701

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Topics: Roller bearings, Bearings, Noise (Sound), Failure, Accelerometers, Machine learning, Service life (Equipment), Spectra (Spectroscopy), Vibration

Proceedings Papers

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A002, August 17–19, 2021

Paper No: DETC2021-68103

DOI: https://doi.org/10.1115/DETC2021-68103

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Topics: Creativity, Design, Bicycles, Innovation, Artificial neural networks, Design automation, Design methodology, Engineering disciplines, Image segmentation, Machine learning

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

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

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

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

Proceedings Papers

A Graph Neural Network Approach for Product Relationship Prediction

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A036, August 17–19, 2021

Paper No: DETC2021-69462

DOI: https://doi.org/10.1115/DETC2021-69462

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Topics: Artificial neural networks, Artificial intelligence, Automobiles, Design, Drugs, Engineering systems and industry applications, Machine learning, Modeling, Network analysis, Optimization

Proceedings Papers

Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges

Michael Saidani, Harrison Kim, Bernard Yannou

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A005, August 17–19, 2021

Paper No: DETC2021-70613

DOI: https://doi.org/10.1115/DETC2021-70613

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Topics: Design, Green design, Machine learning, Natural language processing

2 3 4 5

NARROW

Intelligent Design Prediction Aided by Non-Uniform Parametric Study and Machine Learning in Feature Based Product Development

Predicting Mechanical Properties of 3D Printed Lattice Structures

Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco

Gradient-Enhanced Multifidelity Neural Networks for High-Dimensional Function Approximation

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Myoelectric Control of Robotic Leg Prostheses and Exoskeletons: A Review

Gait Prediction and Mechanism Design for 1-DOF Lower Limb Rehabilitation Devices Based on Machine Learning

Informed Latent Space Exploration for Image-Based Path Synthesis of Linkages

Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment

Machine Learning to Predict Medical Devices Repair and Maintenance Needs

Using Machine Learning for the Classification of the Remaining Useful Cycles in Lithium-Ion Batteries

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

Data Augmentation for Roller Bearing Health Indicator Estimation Using Multi-Channel Frequency Data Representations

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

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

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

A Graph Neural Network Approach for Product Relationship Prediction

Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges

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