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CADAM is an open-source “text-to-CAD” web application that turns natural-language prompts into parametric 3D models, targeting a workflow where you describe what you want and the system produces editable geometry. It is designed around a browser-first experience, so users can iterate quickly without installing a heavyweight desktop CAD suite for every experiment. A key idea is that the generated output is parametric and scriptable, enabling repeatable edits and variations rather than a one-off mesh result. The project integrates modern web tooling and a backend stack to manage sessions, model generation requests, and persisted outputs, making it usable as an actual product rather than only a demo. ...

...Its computational engine is based, among others, on the Lattice Boltzmann Methods (http://en.wikipedia.org/wiki/Lattice_Boltzmann_methods) and is written in OpenCL (http://en.wikipedia.org/wiki/OpenCL) which enable extraordinarily efficient deployment (http://asl.org.il/benchmarks) on a variety of massively parallel architectures, ranging from inexpensive FPGAs, DSPs and GPUs up to heterogeneous clusters and supercomputers. The engine is hidden entirely behind C++ classes, so that no OpenCL knowledge is required from application programmers. ASL can be utilized to model various coupled physical and chemical phenomena and employed in a multitude of fields: computational fluid dynamics, virtual sensing, industrial process data validation and reconciliation, image-guided surgery, computer-aided engineering, high-performance scientific computing, etc..

The BladeDesigner package is a CAD/CAE tool providing classes for turbomachine blade design. So far it is optimized to be useful in the aerodynamic design process. It comes with a GUI but is most powerful with user defined python scripts.