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Proceedings Papers

Gear Prediction System Based on Ultrasonic Radar and Machine Learning

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Xu Feng, Bo Yang, Liangyao Yu, Ruibo Hu
Proc. ASME. IDETC-CIE2024, Volume 1: 26th International Conference on Advanced Vehicle Technologies (AVT), V001T01A023, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-144043
https://doi.org/10.1115/DETC2024-144043
View Paper titled, Gear Prediction System Based on Ultrasonic Radar and Machine Learning
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Topics: Gears, Machine learning, Radar, Vehicles
Proceedings Papers

Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network

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Hao Chen, Shailesh Hegde, Angelo Bonfitto
Proc. ASME. IDETC-CIE2024, Volume 1: 26th International Conference on Advanced Vehicle Technologies (AVT), V001T01A020, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143462
https://doi.org/10.1115/DETC2024-143462
View Paper titled, Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network
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Topics: Artificial neural networks, Accidents, Algorithms, Cities, Computer software, Density, Engineering simulation, Machine learning, Noise (Sound), Optimization
Proceedings Papers

Physics-Constrained Convolutional Recurrent Neural Networks for Solving Spatial-Temporal PDEs With Arbitrary Boundary Conditions

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Guangfa Li, Yanglong Lu, Dehao Liu
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A020, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-134569
https://doi.org/10.1115/DETC2024-134569
View Paper titled, Physics-Constrained Convolutional Recurrent Neural Networks for Solving Spatial-Temporal PDEs With Arbitrary Boundary Conditions
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Topics: Artificial neural networks, Boundary-value problems, Machine learning, Partial differential equations, Physics
Proceedings Papers

Design, Development, and Testing of a Smart Hand Tool: Achieving Work Task Recognition Using Synthetic Data and Edge Intelligence

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Rachel New, Carlos D. Salazar, Jose Bendaña, Sundar Sripada V. S., Sandeep Chinchali, Kenneth R. Fleischmann, Raul G. Longoria
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A026, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142360
https://doi.org/10.1115/DETC2024-142360
View Paper titled, Design, Development, and Testing of a Smart Hand Tool: Achieving Work Task Recognition Using Synthetic Data and Edge Intelligence
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Topics: Design, Hand tools, Machine learning, Project tasks, Testing
Proceedings Papers

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

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Vispi Karkaria, Jie Chen, Christopher Luey, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A023, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-140496
https://doi.org/10.1115/DETC2024-140496
View Paper titled, A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
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Topics: Algorithms, Digital twin, Machine learning, Maintenance, Modeling, Tires
Proceedings Papers

Melt Pool Depth Prediction in Directed Energy Deposition Single-Track Prints Using Point Cloud Analysis

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Youmna Mahmoud, Jiaqi Lyu, Chaitanya Krishna Prasad Vallabh, Souran Manoochehri
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A024, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-141272
https://doi.org/10.1115/DETC2024-141272
View Paper titled, Melt Pool Depth Prediction in Directed Energy Deposition Single-Track Prints Using Point Cloud Analysis
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Topics: Additive manufacturing, Cutting, Data collection, Errors, Inspection, Lasers, Machine learning, Metals, Microscopy, Polishing
Proceedings Papers

Effects of Different Human-In-The-Loop Approaches on Human-AI Co-Design: A Comparison Between Human-Learning HITL Approach and Machine-Learning HITL Approach

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Yuan Yin, Boheng Wang, Haoyu Zuo, Peter Childs
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A050, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143295
https://doi.org/10.1115/DETC2024-143295
View Paper titled, Effects of Different Human-In-The-Loop Approaches on Human-AI Co-Design: A Comparison Between Human-Learning HITL Approach and Machine-Learning HITL Approach
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Topics: Design, Machine learning
Proceedings Papers

Self-Supervised Multi-Label Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing

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Jaehyuk Kim, Zhuo Yang, Yan Lu, Gisuk Hong
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A022, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-139383
https://doi.org/10.1115/DETC2024-139383
View Paper titled, Self-Supervised Multi-Label Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Feedback, Lasers, Machine learning, Manufacturing, Mechanical properties, Metals, Model development, Monitoring systems, Plumes (Fluid dynamics)
Proceedings Papers

Low-Cost Melt Pool Temperature Prediction Using Visible Light Camera and Machine Learning in Laser Hot-Wire Directed Energy Deposition

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Mostafa Rahmani Dehaghani, Pouyan Sajadi, Yifan Tang, G. Gary Wang
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A029, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142944
https://doi.org/10.1115/DETC2024-142944
View Paper titled, Low-Cost Melt Pool Temperature Prediction Using Visible Light Camera and Machine Learning in Laser Hot-Wire Directed Energy Deposition
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Topics: Lasers, Light, Machine learning, Temperature, Visible spectrum, Wire
Proceedings Papers

Symmetry-Induced Mechanical Metamaterials Design Framework and Dataset Generation

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Mohammad Abu-Mualla, Jida Huang
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A001, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-141866
https://doi.org/10.1115/DETC2024-141866
View Paper titled, Symmetry-Induced Mechanical Metamaterials Design Framework and Dataset Generation
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Topics: Design, Metamaterials, Trusses (Building), Machine learning, Additive manufacturing, Anisotropy, Design methodology, Materials science, Mechanical properties, Surges
Proceedings Papers

Heterogeneous Transfer Learning for Design and Manufacturing Process Modeling Through Input Mapping and Multi-Fidelity Gaussian Process

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Sandipp Krishnan Ravi, Piyush Pandita, Changjie Sun, Liping Wang
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A031, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143998
https://doi.org/10.1115/DETC2024-143998
View Paper titled, Heterogeneous Transfer Learning for Design and Manufacturing Process Modeling Through Input Mapping and Multi-Fidelity Gaussian Process
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Topics: Design, Manufacturing, Modeling, Optimization, Cantilever beams, Cycles, Design engineering, Engineering design, Friction, Machine learning
Proceedings Papers

Predicting Human Context-Aware Action Modifications for AI Assistance in Visually Demanding Tasks

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Kristian Dalland, Joseph P. Distefano, Ehsan T. Esfahani
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A043, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143575
https://doi.org/10.1115/DETC2024-143575
View Paper titled, Predicting Human Context-Aware Action Modifications for AI Assistance in Visually Demanding Tasks
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Topics: Air traffic control, Artificial intelligence, Biomedical imaging, Decision making, Design, Human eye, Machine learning, Teams
Proceedings Papers

Towards Reproducible Machine Learning-Based Process Monitoring and Quality Prediction Research for Additive Manufacturing

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Jiarui Xie, Mutahar Safdar, Andrei Mircea Romascanu, Yan Lu, Hyunwoong Ko, Zhuo Yang, Yaoyao Fiona Zhao
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A033, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-144461
https://doi.org/10.1115/DETC2024-144461
View Paper titled, Towards Reproducible Machine Learning-Based Process Monitoring and Quality Prediction Research for Additive Manufacturing
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Topics: Additive manufacturing, Machine learning, Machinery, Process monitoring
Proceedings Papers

Current State and Benchmarking of Generative Artificial Intelligence for Additive Manufacturing

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Nowrin Akter Surovi, Paul Witherell, Vinay Saji Mathew, Soundar Kumara
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A032, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-144076
https://doi.org/10.1115/DETC2024-144076
View Paper titled, Current State and Benchmarking of Generative Artificial Intelligence for Additive Manufacturing
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Topics: Additive manufacturing, Generative artificial intelligence, Data collection, Diffusion (Physics), Machine learning
Proceedings Papers

Data Driven Metareasoning for Defending a Perimeter Against Cooperative Intrusion

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Prannoy Namala, Arjun Vaidya, Jeffrey W. Herrmann
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A039, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143159
https://doi.org/10.1115/DETC2024-143159
View Paper titled, Data Driven Metareasoning for Defending a Perimeter Against Cooperative Intrusion
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Topics: Algorithms, Computation, Defense industry, Machine learning, Multi-agent systems, Simulation, Teams
Proceedings Papers

Integrating Machine Learning Into the Design of Green Building Systems

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Emily Payne, Astrid Layton
Proc. ASME. IDETC-CIE2024, Volume 2B: 44th Computers and Information in Engineering Conference (CIE), V02BT02A019, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143653
https://doi.org/10.1115/DETC2024-143653
View Paper titled, Integrating Machine Learning Into the Design of Green Building Systems
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Topics: Design, Green buildings, Machine learning
Proceedings Papers

Recalibration of Neural Networks Using Transfer Learning for Streamflow Forecasting

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Chloe Qin, Yichao Zeng, Ying Zhao, Guga Gugaratshan, Zhen Hu
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A038, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142765
https://doi.org/10.1115/DETC2024-142765
View Paper titled, Recalibration of Neural Networks Using Transfer Learning for Streamflow Forecasting
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Topics: Artificial neural networks, Physics, Design, Climate change, Floods, Flow (Dynamics), Machine learning, Modeling, Rivers, Simulation
Proceedings Papers

Automated Functional Basis Modeling Using Multi-Label Machine Learning on 3D Models

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Zachariah A. Connor, Shital Sable, Matthew I. Campbell, Robert B. Stone
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A011, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-138095
https://doi.org/10.1115/DETC2024-138095
View Paper titled, Automated Functional Basis Modeling Using Multi-Label Machine Learning on 3D Models
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Topics: Machine learning, Modeling, Three-dimensional models, Algorithms, Trains, Computer-aided design, Convolutional neural networks, Engineering systems and industry applications, Engineers, Generators
Proceedings Papers

Inverse Design With Conditional Cascaded Diffusion Models

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Milad Habibi, Mark Fuge
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A020, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143607
https://doi.org/10.1115/DETC2024-143607
View Paper titled, Inverse Design With Conditional Cascaded Diffusion Models
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Topics: Design, Diffusion (Physics), Resolution (Optics), Errors, Generative adversarial networks, Machine learning, Pipelines, Trains
Proceedings Papers

Generative Design of Planar Four-Bar Motions Using Conditional Variational Autoencoder

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Amro Halwah, Anar Nurizada, Anurag Purwar
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A022, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-146347
https://doi.org/10.1115/DETC2024-146347
View Paper titled, Generative Design of Planar Four-Bar Motions Using Conditional Variational Autoencoder
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Topics: Algebra, Circuits, Dimensions, Errors, Filtration, Generative design, Kinematics, Linkages, Machine learning, Machinery