Additive manufacturing simulation with JAX.

PySLM: A Python Library for 3D Printing and Additive Manufacturing

Plugin for abaqus to generate user subroutines in welding and Additive Manufacturing modeling

Additive & Subtractive Manufacturing By Layer for the E3D ToolChanging platform

A Python library that can read, analysis, plot G-code files used in Additive Manufacturing (AM).

Cellular automata code for alloy nucleation and solidification written with Kokkos

Hardware design files for creating a custom enclosure for an Ender3 v2 3D printer

Mostly 3D printed toolchanger mechanism

Extraction of mechanical properties of materials through deep learning from instrumented indentation

Thermal-Fluid Dynamics Solver for Advanced Manufacturing Applications

Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning

Peridynamic Laboratory (PeriLab) is a powerful software solution designed for tackling diverse problems in the field of peridynamics.

toolpath planning for additive manufacturing and CNC milling

libSLM is a c++ library for generating and transfering to SLM Machine Systems

An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process

From sliced data to volumetric meshes for the simulation of AM processes

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.

GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations

Curved Layer Fused Filament Fabrication (CLFFF) Algorithm that produces G-Code with normal vectors for 5 axis 3d printing. Uses variable layer height.

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.

Generate time dependent boundary conditions from a .gcode file.

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

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.

A collection of guides relating to various aspects of 3D printing.

A curated collection of research papers with open-source implementations/datasets focused on in-situ process monitoring and adaptive control in laser-based additive manufacturing.

Automatic Tool Changer

pyLatticeDSO - Framework for Design, Simulation and Optimization of truss lattice structures

Framework to facilitate simulation workflows and experimental databases for additive manufacturing

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.

3D model voxelizer for deep learning applications (e.g. 3D CNN) in additive manufacutring (3D printing)