transformation-diagrams | Python code for calculating transformation diagrams
kandi X-RAY | transformation-diagrams Summary
kandi X-RAY | transformation-diagrams Summary
transformation-diagrams is a Python library. transformation-diagrams has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Collection of scripts for calculating TTT and CCT diagrams of iron-based alloys using the methods described on the paper by Li et al., 1998. Feel free to edit the code to, for instance, automatize the generation of diagrams. transformation_models.py contains the models used for calculating the transformation diagrams. Two main classes are defined: Alloy and TransformationDiagrams. Alloy stores the information of the prior austenite grain size and composition, while TransformationDiagrams is used for plotting the TTT and CCT diagrams and phase fraction evolution for a given thermal cycle. The repository also contains scripts for easy plotting of phase diagrams and phase fraction curves: plot_diagrams.py and plot_phase_fractions.py. The hardness of the heat treated material is estimated using Maynier et al., 1978 and implemented by Li et al., 1998. When plot_phase_fractions.py is called, the hardness of the final microstructure is displayed on the plot. DISCLAIMER: Calculation of phase fractions doesn't take into account how a phase transformation affect the austenite composition and therefore might affect the subsequent phase transformations. Use this model at your own risk.
Collection of scripts for calculating TTT and CCT diagrams of iron-based alloys using the methods described on the paper by Li et al., 1998. Feel free to edit the code to, for instance, automatize the generation of diagrams. transformation_models.py contains the models used for calculating the transformation diagrams. Two main classes are defined: Alloy and TransformationDiagrams. Alloy stores the information of the prior austenite grain size and composition, while TransformationDiagrams is used for plotting the TTT and CCT diagrams and phase fraction evolution for a given thermal cycle. The repository also contains scripts for easy plotting of phase diagrams and phase fraction curves: plot_diagrams.py and plot_phase_fractions.py. The hardness of the heat treated material is estimated using Maynier et al., 1978 and implemented by Li et al., 1998. When plot_phase_fractions.py is called, the hardness of the final microstructure is displayed on the plot. DISCLAIMER: Calculation of phase fractions doesn't take into account how a phase transformation affect the austenite composition and therefore might affect the subsequent phase transformations. Use this model at your own risk.
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transformation-diagrams has a low active ecosystem.
It has 12 star(s) with 3 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
transformation-diagrams has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of transformation-diagrams is current.
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transformation-diagrams has no bugs reported.
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transformation-diagrams has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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transformation-diagrams does not have a standard license declared.
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transformation-diagrams releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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Install transformation-diagrams
You can download it from GitHub.
You can use transformation-diagrams like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use transformation-diagrams like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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