Metadata-Version: 2.1
Name: ringspy
Version: 0.4.1
Summary: A geometric generation tool for prismatic cellular solids
Home-page: https://github.com/kingyin3613/ringspy/
Author: Hao Yin
Author-email: haoyin2022@u.northwestern.edu
License: GPL-3.0
Description: # RingsPy
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        RingsPy is a Voronoi diagrams-based geometric generation tool that generates 3D meshes and models of prismatic cellular solids with radial growth rules.
        
        ## Dependencies and Installation
        RingsPy depends on mainstream Python libraries ``numpy`` and ``scipy``, and optionally depends on library ``hexalattice``, if the regular hexagonal lattice (e.g. honeycomb) is wanted; also ``vtk``, if the 3D STL files are also wanted.
        ### 1. pip install
        To install RingsPy, one may use `pip`:
        ```bash
        pip install ringspy
        ``` 
        or use:
        ```bash
        pip install git+https://github.com/kingyin3613/ringspy.git
        ``` 
        to get updates beyond the latest release. 
        
        ### 2. conda install
        If you are on Linux or Mac, you can also use `conda-forge` channel:
        ```bash
        conda install -c conda-forge ringspy
        ``` 
        
        ### 3. Installation Check
        
        There are some unit tests in [tests](https://github.com/kingyin3613/ringspy/tree/main/tests/). One can use ``pytest`` to check whether the installation is successful by running this command:
        
        ```bash
        pytest .
        ```
        
        ## Getting Started (Current version: v0.4.1)
        Once all required components are installed and one is ready to begin, a path forward should be established for generating the mesh. The basic steps for running/viewing a cellular mesh are listed as the following:
        
            1. Edit geometry and algorithm parameters
            2. Generate mesh using Mesh Generation Tools
            3. Visualize 2D view using Matplotlib or 3D model in `ParaView`
            4. (Optional) Export 3D STL model for 3D editing and/or printing
        	5. (Optional) Export input file for numerical simulations with software `Abaqus`
        
        ### 1. Geometry and Parameters
        The first step to generate a cellular geometry is selecting geometry and appropriate parameters. 
        
        ### 1.1. Geometry
        A template file, for example, `test_wood_cube.py` located in the [tests](https://github.com/kingyin3613/ringspy/tree/main/tests/) directory acts as both the parameter input file, and main executable for the generation of a cubic wood specimen.
        
        *Note: The Mesh Generation Tool by now only accepts many of pre-defined boundary geometries (for v0.4.x, the following 3 shapes are supported: triangle, square, hexagon), importing of CAD and/or other 3D model files will be implemented in subsequent versions.*
        
        *Note: for greatest compatibility create the geometry using all millimeters.*
        
        ### 1.2. Parameters
        
        
        By opening a input file, e.g., `tests/test_wood_cube.py` in any text editor, a file format similar to what is shown below will be displayed:
        ```
        geoName = 'wood_cube'
        path = 'meshes'
        
        radial_growth_rule = 'binary'
        iter_max = 500 # increase this number to achieve a more regular geometry
        print_interval = 500 # interval for printing prgress info
        
        # Radial cell growth parameters
        # length unit: mm
        r_min = 0   # inner radius of generation domain
        r_max = 4   # outer radius of generation domain
        nrings = 4 # number of rings
        width_heart = 0.3*(r_max-r_min)/nrings # ring width for the innermost ring
        width_sparse = 0.7*(r_max-r_min)/nrings # ring width for rings with sparse cells
        width_dense = 0.3*(r_max-r_min)/nrings # ring width for rings with dense cells
        generation_center = (0,0) # coordinates of generation domain center
        
        cellsize_sparse = 0.02
        cellsize_dense = 0.01
        cellwallthickness_sparse = 0.010
        cellwallthickness_dense = 0.006
        
        # clipping box parameters
        boundaryFlag = 'on'
        box_shape = 'square'
        box_center = (0,0) # coordinates of clipping box center
        box_size = 4.0 # side length
        	
        # longitudinal direction parameters
        segment_length = 0.5*box_size
        theta_min = 0 # unit: radian
        theta_max = 0.05 # unit: radian
        z_min = 0
        z_max = box_size
        long_connector_ratio = 0.02 # longitudinal joint length = ratio * segment_length
        
        # material parameters
        skeleton_density = 1.5e-9 # unit: tonne/mm3
        
        # generation parameters
        merge_operation = 'on'
        merge_tol = 0.01
        
        precrackFlag = 'off'
        precrack_widths = 0.1
        
        stlFlag = 'on'
        
        inpFlag = 'on'
        inpType = 'Abaqus'
        ```
        
        - `geoName` is the geometry name, `path` is the folder where the mesh files will be generated.
        - `radial_growth_rule` is the radial growth rule for cell placement. When a file name with extension`.npy` is specified, a saved cell data file will be loaded (for v0.4.x, choose one of these rules: `binary`, `binary_lloyd`, `regular_hexagonal`, or a file name with extension `.npy`).
        - `iter_max` is the max number of iteration for randomly placing non-overlapping cell particles in the 2D toroidal cell placement region. Noticing that, larger `iter_max` leads to more centroidal Voronoi cells, for more reference, see [Wiki - Centroidal Voronoi Tessellation](https://en.wikipedia.org/wiki/Centroidal_Voronoi_tessellation/).
        - `print_interval` is the print interval when every n cell particles are placed in the placement region.
        - `r_min` and `r_max` are the upper and lower bounds of radii of toroidal cell placement regions (generation rings), `nrings` is the total number of rings.
        - `width_heart`, `width_sparse`, and `width_dense`, are ring widths for innermost ring, rings with sparse cells, and rings with dense cells, respectively, which all together determine the morphology of the cellular structure.
        - `generation_center` is the location of the placement region.
        - `cellsize_sparse`,`cellsize_dense`, `cellwallthickness_sparse`, and `cellwallthickness_dense` are parameters for the sparse and dense cells.
        - `boundaryFlag` flag can be turned on/off for generating neat boundaries consisting of grains.
        - `box_shape` is the shape of cutting box (for v0.4.x, choose one of following shapes: `triangle`, `square`, or `hexagon`).
        - `box_center`, and `box_size` are for describing the cutting box.
        - `fiberlength` is the length of segments consisting the prismatic cells during the z- (longitudinal) extrusion.
        - `theta_min` and `theta_max` determine the twisting angles (unit: radian) of the 2D mesh around the `generation_center`, during the spiral z-extrusion.
        - `z_min` and `z_max` determine the boundaries of prismatic cells in z- (longitudinal) direction.
        - `long_connector_ratio` is the length of longitudinal joints, with `longitudinal joint length = ratio * segment_length`.
        - `skeleton_density` is the density of the skeleton (substance) material, e.g. density of wood cell walls in the wood microstructure. 
        - `merge_operation` flag can be turned on/off for the merging operation, when flag is on, cell ridges that are shorter than the threshold `merge_tol` in the 2D mesh will be deleted, and their vertices will be merged respectively, the mesh will be reconstructed. This is designed for eliminating small cell ridges/walls which fall out of the resolution range of the 3D printing and for avoiding having elements with too small stable time increments in numerical simulations. 
        - `precrackFlag` flag is for inserting a pre-crack, for the notched specimens (for v0.4.x, only a single line pre-crack with the length of `precrack_widths` is supported).
        - `stlFlag` flag can be turned on/off for generating 3D STL files.
        - `inpFlag` flag can be turned on/off for generating input files for numerical simulations.
        - `inpType` indicates the software(s) that the mesh generation should generate input files for.
        
        ![growth_rule_binary](<./contents/growth_rule_binary.png>)
        ### 2.1. Run Mesh Generation
        Open a Command Prompt or Terminal window and set the current directory to [tests](https://github.com/kingyin3613/ringspy/tree/main/tests/) or any other directory, then run the command:
        ```
        python test_wood_cube.py
        ```
        Functions in `MeshGenTools` library will be called to create the initial mesh, wood cell particles following certain cell size distribution will be placed, then `Scipy.voronoi` function will be called to form the initial 2D Voronoi tessellation, additional code reforms the tesselation and generates the desired files. A successful generation will end with the line "Files generated ..." in the Terminal window.
        
        A new folder should have been created in the `.\meshes` directory with the same name as the `geoName` in `test_wood_cube.py`.
        
        ${\color{red}\textbf{(New feature in version v0.4.x)}}$
        
        The Lloyd's relaxation (a.k.a. Lloyd's algorithm) has been integrated with the mesh generation, one may use this approach by changing the following line in the input file:
        ```
        radial_growth_rule = binary_lloyd
        ``` 
        This allows a rapid radial generation of more regular centroidal Voronoi cells from the `generation_center` (see the difference between `wood_binary` and `wood_binary_lloyd` in the preview of 2D cross-sections in section 2.2). For more detail of the algorithm, see [Wiki - Lloyd's algorithm](https://en.wikipedia.org/wiki/Lloyd's_algorithm)).
        
        ![lloyd](<./contents/lloyd.gif>)
        
        ### 2.2. Check Mesh and 3D Model Files
        
        The following files should be generated in the `.\meshes\geoName` directory with a successful run:
        - Log file
            - Log file for model generation: `wood_cube-report.log`
        - Mesh files
            - Non-Uniform Rational B-Splines (NURBS) beam file: `wood_cubeIGA.txt`
            - connector data file: `wood_cube-mesh.txt`
            - Grain-ridge data file: `wood_cube-vertex.mesh`
            - Ridge data file: `wood_cube-ridge.mesh`
        - Visualization files
            - Cross-sectional image file for initial 2D configuration: `wood_cube.png`
            - Paraview vtk file for initial vertex configuration: `wood_cube_vertices.vtu`
            - Paraview vtk file for initial grain solid configuration: `wood_cube_beams.vtu`
            - Paraview vtk file of initial cell ridge configuration: `wood_cube_conns.vtu`
            - Paraview vtk file of initial connector (volume) configuration: `wood_cube_conns_vol.vtu`
        - (Optional) 3D model files
            - STL file of initial cellular solid configuration: `wood_cube.stl`
        - (Optional) Abaqus input files
            - INP file of simulation input of initial cellular solid configuration in `Abaqus`: `wood_cube.inp`
        
        
        ![Model2DPreview](<./contents/Model2DPreview.png>)
        	
        ### 3. Visualization
        A scientific visualization application `ParaView` can directly visualize the generated vtk files; It can also visualize generated 3D model STL files if the STL flag is on. `Paraview` is a free software, it can be downloaded from its official website: [https://www.paraview.org/download/](https://www.paraview.org/download/), latest version is recommeded.
        
        ### 3.1. Visualize Components of the 3D Model in ParaView
            1. Open ParaView
            2. Recommeded to temporarily turn off ray tracing
                - Uncheck "Enable Ray Tracing" (bottom left)
            3. Open File Sets in `.\meshes\geoName`
                - File > Open...
            4. Select the visualization files containing: `_vertices.vtu`, `_beams.vtu`, `_conns.vtu`
            5. Apply to visualize
                - Press Apply (left side, center)
            6. Turn on color plotting
                - Left click `_conns.vtu`, then select coloring (mid/lower left) > Connector_width
            7. Scale and position the image as desired
            8. Turn back on Ray Tracing
            9. Adjust Ray Tracing lighting and settings as desired
            10. Export Image
                - File > Save Screenshot
                - Enter a file name > OK
                - Leave new window as-is or increase resolution > OK
        
        ### 3.2. Visualize Volumes of the 3D Model in ParaView
            1. Open Paraview
            2. Recommeded to temporarily turn off ray tracing
                - Uncheck "Enable Ray Tracing" (bottom left)
            3. Open File Sets in `.\meshes\geoName`
                - File > Open...
            4. Select the newly created visualization files containing: `_conns_vol.vtu`
            5. Apply to visualize
                - Press Apply (left side, center)
            6. Turn on color plotting
                - Left click `_conns_vol.vtu`, then select coloring (mid/lower left) > Connector_width
            7. Scale and position the image as desired
            8. Turn back on Ray Tracing
            9. Adjust Ray Tracing lighting and settings as desired
            10. Export Image
                - File > Save Screenshot
                - Enter a file name > OK
                - Leave new window as-is or increase resolution > OK
        ![ModelVisualization](<./contents/ModelVisualization.png>)
        
        ### 4. (Optional) Numerical Simulation
        The mesh generation tool can also prepare the input files for the numerical simulations of the cellular solid in other softwares. By now (version 0.4.0), the input file format, `.inp`, that is used in a finite element method (FEM) software `Abaqus` is supported, if the INP flag is on. `Abaqus` is a commerical software suite for integrated computer-aided engineering (CAE) and finite element analysis, own by `Dassault Systèmes`. One may refer to its [Wiki](https://en.wikipedia.org/wiki/Abaqus) for more about `Abaqus`, and to [Introduction](https://bertoldi.seas.harvard.edu/files/bertoldi/files/abaqusinputfilemanualv1.pdf?m=1444417191) for the introduction of Abaqus input files.
        
        All steps for the model setup can be accomplished through manually coding the Abaqus input file in a text editor. The method used in the example procedure shown below requires access to the Abaqus GUI.
        
        ### 4.1 Create New Model
            1. Open Abaqus CAE
            2. Create a new model
                -	File > New Model Database > With Standard/Explicit Model
        
        ### 4.2 Import Meshed Part
        
            1. Import the meshed part
                - File > Import > Part
                - Select the newly created file which ends in `.inp` (note: you may need to change the File Filter to see this file)
                - Click OK
            2. Rename part
                - Under the model tree (left) expand `Parts`
                - Right click on the part > Rename...
                - Enter a new name less than 14 characters, no special symbols, and easily recognizable (i.e. "WoodCube")
        
        *Note: if FEM parts will be added to the model, this RingsPy generated part must come first alphabetically. Also recommended not to include numbers in the name.*
        
        ![ModelNumericalSimulation](<./contents/ModelNumericalSimulation.png>)
        
        ## Contributing
        
        Contributions are always welcome!
        
        If you wish to contribute code/algorithms to this project, or to propose a collaboration study, please send an email to haoyin2022 [at] u.northwestern.edu .
        
        ## License
        ![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)
        
        Distributed under the GPL v3 license. Copyright 2023 Hao Yin.
        
        
        
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
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