An OpenFOAM solver to model enhancement of mixed convection heat transfer due to electrohydrodynamic (EHD) flow.
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Mar 8, 2024 - C++
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heattransfer
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This repository demonstrates multiscale modeling of copper heat pipes using machine learning, integrating grain-scale data with FEA via a UMAT. It highlights grain size’s impact on stress, strain, and heat transfer for optimized material design.
machine-learning fortran abaqus umat finite-element-analysis ansys stress-strain polynomialregression multiscale-modeling heattransfer vpsc hall-petch-effect materialoptimization
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Dec 5, 2024 - Jupyter Notebook
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May 22, 2024 - Jupyter Notebook
Material for ME 364 (Elementary Heat Transfer): first semester heat transfer course at UW-Madison
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Jul 21, 2020
Geothermal Feasibility Study
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Dec 28, 2022 - Jupyter Notebook
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