https://github.com/mebus/pyslm

PySLM Python Library for Selective Laser Melting and Additive Manufacturing
https://github.com/mebus/pyslm

Last synced: 7 months ago
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PySLM Python Library for Selective Laser Melting and Additive Manufacturing

• Host: GitHub
• URL: https://github.com/mebus/pyslm
• Owner: Mebus
• License: lgpl-2.1
• Created: 2020-08-13T14:04:16.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-30T22:54:47.000Z (about 6 years ago)
• Last Synced: 2025-03-14T23:35:18.802Z (over 1 year ago)
• Homepage: http://lukeparry.uk/projects/pyslm
• Size: 240 KB
• Stars: 4
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

          
PySLM Python Library for Selective Laser Melting

==================================================

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PySLM is a python library for processing the input files used on Selective Laser Melting (SLM), Direct Metal Laser Sintering (DMLS)

platform typically used in both academia and industry for Additive Manufacturing. The core capabilities aim to include

slicing, hatching and support generation and providing  an interface to the binary build file formats available for platforms.

The library is built of core classes which may provide the basic functionality to generate the scan vectors used on systems

and also be used as building blocks to prototype and develop new algorithms.

PySLM is built-upon python libraries `Trimesh `_ and based on some custom modifications

to the `PyClipper `_ libraries which are leveraged to provide the  slicing and

manipulation of polygons, such as offsetting and clipping of lines. Additional functionality will be added to provide basic capabilities.

The aims is this library provides especially for an academic environment, a useful set of tools for prototyping and used

in-conjunction with simulation and analytic studies.

Current Features

******************

PySLM is building up a core feature set aiming to provide the basic blocks for primarily generating the scan paths and

additional design features used for AM systems typically (SLM/SLS/SLA) systems which consolidate material using

a single/multi point exposure by generating a series of scan vectors in a region.

**Support Structure Generation**

* [TODO] A prototype for support structure generation

**Slicing:**

* Slicing of triangular meshes supported via the `Trimesh `_ library.

* Simplification of 2D layer boundaries

* Bitmap slicing for SLA, DLP, Inkjet Systems

**Hatching:**

The following operations are provided as a convenience to aid developing the scan strategies:

* Offsetting of contours and boundaries

* Trimming of lines and hatch vectors (sequentially ordered)

The following scan strategies have been implemented as reference on platforms:

* Standard 'Alternating' hatching

* Stripe Scan Strategy

* Island or Checkerboard Scan Strategy

**Visualisation:**

The laser scan vectors can be visualised using ``Matplotlib``. The order of the scan vectors can be shown to aid development

of the scan strategies.

**Export to Machine Files:**

Currently the capability to enable translation to commercial machine build platforms is being providing through a

supporting library called `libSLM `_ . This is a c++ library to enable efficient

import and export across various commercial machine build files. Work is underway to support the following file formats.

If you would like to support implementing a custom format, please raise a `request `_.

* Renishaw MTT (**.mtt**),

* DMG Mori Realizer (**.rea**),

* EOS SLI formats (**.sli**).

Installation

*************

Installation is currently supported on Windows and Linux environments. The pre-requisites for using PySLM can be installed

via PyPi and/or Anaconda distribution.

.. code:: bash

    conda install -c conda-forge shapely, Rtree, networkx, scikit-image

    conda install trimesh

Installation of pySLM can then be performed using pre-built python packages using the PyPi repository. Additionally to

interface with commercial systems, the user can choose to install libSLM. Note, the user should contact the author to

request machine build file translators.

.. code:: bash

    pip install libSLM

    pip install PythonSLM

Alternatively, PySLM may be compiled from source. Currently the prerequisites are the cython package and a compliant c++

build environment.

.. code:: bash

    git clone https://github.com/drlukeparry/pyslm.git && cd ./pyslm

    python setup.py install

Usage

******

A basic example below, shows how relatively straightforward it is to generate a single layer from a STL mesh which generates

a the hatch infill using a Stripe Scan Strategy typically employed on some commercial systems to limit the maximum scan vector

length generated in a region.

.. code:: python

    import pyslm

    from pyslm import hatching as hatching

    # Imports the part and sets the geometry to  an STL file (frameGuide.stl)

    solidPart = pyslm.Part('myFrameGuide')

    solidPart.setGeometry('../models/frameGuide.stl')

    # Set te slice layer position

    z = 23.

    # Create a StripeHatcher object for performing any hatching operations

    myHatcher = hatching.StripeHatcher()

    myHatcher.stripeWidth = 5.0

    # Set the base hatching parameters which are generated within Hatcher

    myHatcher.hatchAngle = 10 # [°]

    myHatcher.volumeOffsetHatch = 0.08 # [mm]

    myHatcher.spotCompensation = 0.06 # [mm]

    myHatcher.numInnerContours = 2

    myHatcher.numOuterContours = 1

    # Slice the object

    geomSlice = solidPart.getVectorSlice(z)

    #Perform the hatching operations

    layer = myHatcher.hatch(geomSlice)

    # Plot the layer geometries

    pyslm.visualise.plot(layer, plot3D=False, plotOrderLine=True) # plotArrows=True)

For further guidance please look at documented examples are provided in `examples `_ .