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Seamly2D enables the design, reuse, and remix of digital sewing patterns for creating bespoke-fit, specialty-sized, and ready-to-wear-sized clothing. Users have the right to utilize, sell, share, and distribute their patterns in any way they choose. * Downloads: https://seamly.io * Support: https://forum.seamly.io * Code: https://github.com/fashionfreedom/seamly2d * License: GPLv3+

...In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning

CFDTool - "CFD Simulation Made Easy" CFDTool is a fluid dynamics toolbox for modeling and simulation of flows with coupled heat transfer. Based on FEATool Multiphysics (https://www.featool.com), CFDTool is specifically designed to make advanced fluid mechanics and heat transfer simulations both easy and enjoyable. - Completely stand-alone and cross-platform self-contained toolbox - Optionally use as MATLAB Add-On toolbox - Fully integrated and easy to use MATLAB GUI - Modeling and simulation in 1D, 2D, 3D, and axisymmetric/swirl/cylindrical coordinate systems - Seamless OpenFOAM GUI and SU2 CFD solver integrations (https://www.featool.com/Easy-to-Use-OpenFOAM-GUI) - Built-in geometry and CAD tools - Automatic mesh and grid generation - Pre-defined equations and boundary conditions for: + Incompressible viscous fluid flows (Navier-Stokes equations) + Compressible, supersonic, trans-sonic, and turbulent flows + Heat conduction with conjugate heat transfer

...This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. License: https://www.gnu.org/licenses/gpl-2.0.html Source: https://github.com/LibreCAD/LibreCAD/releases Track the latest development: https://github.com/LibreCAD/LibreCAD/milestones https://github.com/LibreCAD/LibreCAD/commits/master Create bug reports and feature requests: https://github.com/LibreCAD/LibreCAD/issues Get help: - https://forum.librecad.org - https://dokuwiki.librecad.org - https://librecad.readthedocs.io/

..."Modelling the geometry of textile reinforcements for composites: TexGen", Chapter 8 in "Composite reinforcements for optimum performance (Second Edition)", ed. P Boisse, Woodhead Publishing Ltd, 2021, ISBN: 978-0-12-819005-0. https://doi.org/10.1016/B978-0-12-819005-0.00008-3 Lin, H., Brown, L. P. & Long, A. C. 2011. Modelling and Simulating Textile Structures using TexGen. Advanced Materials Research, 331, 44-47. To reference version 3.13.0 please use: Louise Brown, mike-matveev, & georgespackman. (2023). louisepb/TexGen: TexGen v3.13.1 (v3.13.1). Zenodo. https://doi.org/10.5281/zenodo.8221491

Wuweido is a professional 3D CAD on your phone or tablet. More than just a viewer, dozens of modeling tools are provided to create and modify 3D models in the most natural way. Wuweido allows you to import and export models in standard CAD format. Unlike Onshape™ on Cloud, Wuweido is running locally on your device and it's more like Rhino™ 3D on mobile. Wuweido is powered by OPEN CASCADE. OPEN CASCADE is an incredible powerful geometry kernel innovating quickly. Wuweido is inspired by...

finFoil is an application to help amateur surfboard fin makers foil their fins properly. All downloads are moved to https://finfoil.io Check out the homepage for the latest news and tutorials: https://finfoil.io hrobeers

...GeoPDEs is no longer developed at SF, and has moved to GitHub. Please visit http://rafavzqz.github.io/geopdes/ The mailing list will remain active. Releases up to 2.0.4 can be found here. From version 2.1.0 onward, see https://github.com/rafavzqz/geopdes

Library for creating and analyzing voxel objects. This project has moved to github. https://github.com/jonhiller/Voxelyze