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Keywords: surrogate modeling
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Journal Articles

A Machine Learning Approach for Rapid Solution of Three-Dimensional Moving Source Problems in Manufacturing

Mahtab Heydari, Bruce L. Tai
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. June 2025, 147(6): 061006.
Paper No: MANU-24-1631
https://doi.org/10.1115/1.4067742
Published Online: February 21, 2025
... Corresponding author. Email: btai@tamu.edu 10 09 2024 22 01 2025 22 01 2025 21 02 2025 neural network (NN) surrogate modeling finite element analysis temperature heat diffusion modeling and simulation Understanding the spatial–temporal response of a moving heat...
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Topics: Artificial neural networks, Finite element analysis, Geometry, Heat, Manufacturing, Temperature, Density, Temperature distribution, Convolutional neural networks, Modeling
Journal Articles

Gaussian Process Surrogate Modeling Under Control Uncertainties for Yield Prediction of Carbon Nanotube Production Processes

Chiwoo Park, Rahul Rao, Pavel Nikolaev, Benji Maruyama
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2022, 144(3): 031007.
Paper No: MANU-20-1573
https://doi.org/10.1115/1.4051915
Published Online: August 16, 2021
...Chiwoo Park; Rahul Rao; Pavel Nikolaev; Benji Maruyama A large-scale production of carbon nanotubes has been of great interest due to their practical needs, which is limited by the difficulty of producing them with controlled structures and properties. We seek for a surrogate modeling to predict...
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Topics: Carbon nanotubes, Lasers, Manufacturing, Modeling, Performance, Simulation, Temperature, Uncertainty, Errors
Journal Articles

Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication

Berkcan Kapusuzoglu, Matthew Sato, Sankaran Mahadevan, Paul Witherell
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2021, 143(2): 021007.
Paper No: MANU-19-1657
https://doi.org/10.1115/1.4048073
Published Online: October 8, 2020
... and the model discrepancy in the process parameter optimization. Variance-based sensitivity analysis based on Sobol’ indices is used to quantify the relative contributions of the different uncertainty sources to the uncertainty in the bond quality. A Gaussian process (GP) surrogate model is constructed...
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Topics: Heat transfer, Manufacturing, Optimization, Sensitivity analysis, Sintering, Temperature, Uncertainty, Calibration, Physics, Polymers