Elastic-Plastic Deformation on a 2-D Plane
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.
Analysis of stress-strain curve for heat-treated 4140 steel
Exploratory Project based on ML models predicting outcomes for various uses. Designed the frontend on HTML and styled using Tailwind CSS. Integrated ML using Flask.
Instron Stress-strain Plot with GNU Octave (MATLAB-compatible.)
2BarG – A program to process split Hopkinson (Kolsky) bar test results
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