There are 4 repositories under metallurgy topic.
Düsseldorf Advanced Material Simulation Kit (Read-only mirror)
The unofficial port to 1.12.2 of Metallurgy 4
Python code for calculating transformation diagrams (TTT and CCT curves) for steels. Based on "M.V. Li, D. V. Niebuhr, L.L. Meekisho, D.G. Atteridge, Metall. Mater. Trans. B 29 (1998) 661–672."
Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow
Calculates approximate properties of alloy compositions
Here you can find the most recent version of the GlobaLID database. Stable versions are regularly published at https://doi.org/10.5880/fidgeo.2023.043
This code calculates some CCAs/HEAs parameters.
Metallurgical Functions
Grain growth simulation with cellural automaton.
A website that allows you to calculate the weight of steel products according to the data entered by the user.
致力于AI for science的交叉学科融合。
Developing Processing Map under hot metalworking conditions for Aluminum-Magnesium Alloys. Metallurgical Conditions such as Temperature ,Strain and Strain Rate ; are used to develop 2D contour map which shows efficient workable metallurgical parameter region (yellow shaded region) and instable condition (blue shaded region). Its a Mathematical Modelling and Data Visualization project for Mechanical Metallurgical Course. Project is inspired from Dr. YVK Prasad 's work.
A library for furnace charge optimization
Example Git repository that you can run on the signaloid.io uncertainty-tracking computation platform. This example shows how the Signaloid uncertainty-tracking computing platform can track uncertainties through an unmodified application.
Using the regression models in a real thermodynamic system. We have applied two supervised algorithms, Linear regression, and K-Nearest Neighbors to predict the composition values at various eta values.
தமிழில் பொறியியல் / தொழில்நுட்பம் - பட்டியல்
Anki Flashcards for 3rd Year Courses
Web version of charge optimization app
Manage mass composition math operations and visualisation
This script converts the composition of the alloy between weight percent and atomic fraction or atomic percent
Uses a convolution neural network to classify titanium microstructures
This repository shows an algorithm for the detection of crosses in dendritic structures
The Ember front-end through which the Interflux team can manage their database, CDN and website.
Interflux' public facing website for the Low Melting Point Alloys (LMPA).
This Ember app is the public facing website of Interflux Electronics.
A minimal static content-first conference website built using Astro
Прогнозирование качества извлечение оксида железа из руды с помощью машинного обучения