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Keywords: convolutional neural network (CNN)
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Proceedings Papers

A Deep MLP-CNN Model Using Metadata to Predict Melt Pool Morphology in LPBF: Effect of Geometrical Factors

Ehsan Vaghefi, Seyedmehrab Hosseini, Elham Mirkoohi
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A026, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-124641
https://doi.org/10.1115/MSEC2024-124641
... multi-layer perceptron (MLP) convolutional neural network (CNN) various geometries melt pool morphology metadata Proceedings of the ASME 2024 19th International Manufacturing Science and Engineering Conference MSEC2024 June 17-21, 2024, Knoxville, Tennessee MSEC2024-124641 A DEEP MLP-CNN MODEL...
View Paper titled, A Deep MLP-CNN Model Using Metadata to Predict Melt Pool Morphology in LPBF: Effect of Geometrical Factors
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Topics: Convolutional neural networks, Multilayer perceptron
Proceedings Papers

Real-Time Temperature Prediction of a Moving Heat Source Problem Using Machine Learning

Mahtab Heydari, Pei-Ching Kung, Bruce L. Tai, Nien-Ti Tsou
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A013, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104529
https://doi.org/10.1115/MSEC2023-104529
... (LTI) system-based framework, aiming at real-time temperature prediction both spatially and temporally. Training data are generated from finite element analysis (FEA) and processed with convolution neural network (CNN) to form a surrogate model for location-dependent thermal response. LTI is used...
View Paper titled, Real-Time Temperature Prediction of a Moving Heat Source Problem Using Machine Learning
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Topics: Artificial neural networks, Finite element analysis, Heat, Machine learning, Temperature
Proceedings Papers

Development of Autonomous Robotic Bin Picking System Using Convolutional Neural Network (CNN) Initially Trained by Human Skills

Huitaek Yun, Jinho Park, Martin Byung-Guk Jun
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A006, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-84712
https://doi.org/10.1115/MSEC2022-84712
... calculation and complex algorithm to handle the point clouds. Another method is to train neural networks from reinforced learning, however it requires huge amount of trials and trainings to establish the model, starting with failures. In this paper, a convolutional neural network (CNN) model was initially...
View Paper titled, Development of Autonomous Robotic Bin Picking System Using <span class="search-highlight">Convolutional</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> (<span class="search-highlight">CNN</span>) Initially Trained by Human Skills
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Topics: Artificial neural networks, Robotics
Proceedings Papers

Multiple Sound Sensors And Fusion In Modern CNN-Based Machine State Prediction

Eunseob Kim, Huitaek Yun, Martin Byung-Guk Jun, Kyunghyun Kim, Suk Won Cha
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A017, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-64036
https://doi.org/10.1115/MSEC2021-64036
... task performance was compared between each sensor location and early sensor fusion. The results showed that the sensor fusion approach resulted in the highest F1 score on both machine system. machine tool monitoring sound signal Mel-frequency cepstrum (MFCC) convolutional neural network (CNN...
View Paper titled, Multiple Sound Sensors And Fusion In Modern CNN-Based Machine State Prediction
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Topics: Artificial neural networks, Machine tools, Machinery, Sensors, Signals, Internet of things, Manufacturing, Acoustics, Bridges (Structures), Conveyor systems