How does OpenFOAM automate CFD tasks?

It provides end-to-end automation from natural language prompts, handling modeling plan generation, case creation, pre-flight checks, serial or parallel solving, stability fixes, and final result delivery, including residual plot generation.

What is OpenFOAM and its main purpose?

OpenFOAM is a server that empowers AI assistants to perform complex Computational Fluid Dynamics (CFD) tasks through natural language. Its main purpose is to automate the entire CFD workflow, from problem understanding to result delivery, making OpenFOAM engineering tasks 'executable' for AI.

What happens if a parallel CFD simulation fails?

OpenFOAM features a robust, production-ready fallback mechanism. If parallel computing encounters failures (e.g., MPI/PMIx issues), it automatically reverts to serial execution, ensuring tasks can still be delivered without complete interruption.

Is OpenFOAM designed for cloud deployment and security?

Yes, it's built for cloud-native delivery with integrated health checks, job portals, and artifact management. Security is prioritized with built-in constraints for path and file operations within case directories, preventing unauthorized access or path traversal.

OpenFOAM

Name: OpenFOAM
Author: milsonson

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Empower AI assistants to perform complex OpenFOAM computational fluid dynamics (CFD) tasks through a natural language-driven server.

OpenFOAM

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Empower AI assistants to perform complex OpenFOAM computational fluid dynamics (CFD) tasks through a natural language-driven server.

This server enables AI assistants to execute OpenFOAM computational fluid dynamics (CFD) tasks from start to finish. It handles everything from understanding natural language problem descriptions and selecting appropriate templates to generating case files, conducting pre-flight checks, running solvers, applying stability fixes, and delivering results. Designed for end-to-end automation, OpenFOAM offers production-grade reliability with automatic fallback to serial execution if parallel runs fail. It features robust security defaults, cloud-native delivery options, and is highly extensible via its template-driven architecture, covering a wide range of incompressible, heat transfer, multiphase, and compressible scenarios.

主な機能

01End-to-end automation from natural language prompts to CFD result delivery.

02Automatic fallback to serial execution on parallel computing failures.

03Built-in security constraints for path and file operations within case directories.

04Cloud-native delivery with integrated health checks, portals, and artifact management.

05Template-driven extensibility for various incompressible, heat transfer, multiphase, and compressible CFD cases.

062 GitHub stars

ユースケース

01Enable AI assistants to directly execute OpenFOAM engineering tasks.

02Standardize CFD automation entry points for teams across local, containerized, and cloud environments.

03Maintain task deliverability for CFD simulations even in unstable parallel computing environments.