additive-manufacturing
There are 11 repositories under additive-manufacturing topic.
- Language:Jupyter Notebook 252
- ASMBL
AndyEveritt / ASMBL
Additive & Subtractive Manufacturing By Layer for the E3D ToolChanging platform
Language:Python 87 - pyslm
drlukeparry / pyslm
PySLM: A Python Library for 3D Printing and Additive Manufacturing
Language:Python 85 - welding_dflux_subroutine
cheneyjin / welding_dflux_subroutine
Plugin for abaqus to generate user subroutines in welding and Additive Manufacturing modeling
Language:Python 78 zhangyaqi1989 / Gcode-Reader
A Python library that can read, analysis, plot G-code files used in Additive Manufacturing (AM).
Language:G-code 78daveydaid / Custom-3DPrinter-Enclosure
Hardware design files for creating a custom enclosure for an Ender3 v2 3D printer
lululxvi / deep-learning-for-indentation
Extraction of mechanical properties of materials through deep learning from instrumented indentation
Language:Python 55- Language:C++ 53
totaldesaster / toolchanger
Mostly 3D printed toolchanger mechanism
kariln / Predictions-of-thermal-fields-in-additive-manufacturing
Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning
Language:Python 49- beamWeldFoam
tomflint22 / beamWeldFoam
Thermal-Fluid Dynamics Solver for Advanced Manufacturing Applications
Language:C++ 44 mlivesu / slice2mesh
From sliced data to volumetric meshes for the simulation of AM processes
Language:C++ 32libSLM is a c++ library for generating and transfering to SLM Machine Systems
Language:C++ 28NU-CUCIS / ml-iter-additive
An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process
Language:Jupyter Notebook 28MichaelBarclift / Additive-Manufacturing
A curated list of Additive Manufacturing literature, research papers, and presentations that are publicly available and related to Laser Powder Bed Fusion and Metal Binder Jetting processes.
seeul8er / Real3DFFF
Curved Layer Fused Filament Fabrication (CLFFF) Algorithm that produces G-Code with normal vectors for 5 axis 3d printing. Uses variable layer height.
Language:G-code 18- Language:C++ 18
ORNL / AdditiveFOAM
Software to simulate heat transfer and fluid flow in additive manufacturing using OpenFOAM
Language:C++ 17dnstanciu / pool-tracker-pro
Error-free 3D printing. Defect detection and melt pool monitoring in a metal 3D printer. Tracks area of the melt pool, intensity, and radius. The variations of the melt pool are used to detect build defects.
Language:Jupyter Notebook 14dougbrion / 3d-printing-guide
A collection of guides relating to various aspects of 3D printing.
- Constellation
JLnorthwestern / GO-MELT
GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
Language:Python 11Code-XYZxyz / real-time-interferometric-measurement-control-for-photopolymer-additive-manufacturing
This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Curing Monitoring and Measurement). A graphical user interface using the graphical user interface development environment (GUIDE) of MATLAB was created to implement the ICM&M method for the ECPL process. The software interfaces with the hardware of the ECPL system’s ultraviolet lamp and DMD, and the ICM&M system’s camera. It was designed to streamline the operation of the ECPL process with the aid of parallel computing that implements online both the ICM&M acquisition and measurement analysis as well as the feedback control method. The application logs the acquired interferogram video data, performs numerical computations for the ICM&M measurement algorithms and control law, saves the real-time data and measurement results for all voxels in the region of interest. Meanwhile, it displays interferogram frames and visualize the photocuring process without a substantial sacrifice in temporal performance of other key functions such as data acquisition and measurement & control analysis. The software could be extended to real-time process measurement and control for other additive manufacturing systems, for example, metal based additive manufacturing aided by in-situ thermal images analysis.
Language:MATLAB 9frikkfossdal / ofxSlicer
Slicer for 3D printing. Made as an addon for Openframeworks.
Language:C++ 9nerdwarrior / optio
opt.io is a MATLAB-based tool that solves basic topology optimization problems, using topology optimization source code modified from Ferrari et Sigmund's 2020 paper. Materials, loads, constraints, and algorithm settings can be manually specified, with 3D viewing and STL export options.
Language:MATLAB 9soonjokwon / VOX4AM
3D model voxelizer for deep learning applications (e.g. 3D CNN) in additive manufacutring (3D printing)
Language:C++ 9midoibrahim / Additive_Manufacturing_Using_Serial_Robot
This is the graduation project of a group of Mechatronics Engineers from Ain Shams University.
Language:G-code 8vigneashpandiyan / Additive-Manufacturing-Transfer-Learning
Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
Language:Python 7ad-si / physibles
Collection of various physibles (e.g. catapult, boat, propeller, chess set, GorillaPod mount, glasses)
Language:OpenSCAD 5asthana001 / laser_convection_BC
This repository contains my works during Summer Internship. I developed a boundary condition for laser convective heat transfer generally to be used while simulating additive manufacturing process.
Language:C 5FAST-LB / pyGCodeDecode
Generate time dependent boundary conditions from a .gcode file.
Language:Python 5PhasesResearchLab / AMMap
Additive Manufacturing Mapping of Compositional Spaces with Thermodynamic, Analytical, and Artificial Intelligence Models
Language:Jupyter Notebook 5sinatayebati / CladNet-ML-for-AM
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing
Language:Jupyter Notebook 4VCUAAM / vcu_am_post_processing
The project on the path to develop automation of post-processing in additive manufacturing
Language:Python 4Monitoring of direct energy deposition process using deep-net based manifold learning and co-axial melt pool imaging
Language:Python 4Real-Time Monitoring and Quality Assurance for Laser-Based Directed Energy Deposition: Integrating Coaxial Imaging and Self-Supervised Deep Learning Framework
Language:Python 4
