https://github.com/nayeoww/ansys-tools/releases
Welcome to a practical toolbox designed for engineers and researchers who work with ANSYS simulations. This repository focuses on assisting with finite element analysis (FEA), computational fluid dynamics (CFD), electromagnetics, and multiphysics workflows. It emphasizes reliability, reproducibility, and speed. The tools here are built to fit into real work pipelines, not just to look good in a demo.
Below you will find a clear guide to get started, keep your projects organized, and extend the toolkit as your needs grow. The content is crafted to be helpful whether you are a student learning about multiphysics or a professional integrating ANSYS simulations into a production workflow.
- 🧰 Core goal: Make ANSYS simulations easier to set up, run, and reproduce across projects.
- ⚡ Fast workflows: Automate repetitive tasks, orchestrate solver runs, and manage post-processing with consistent results.
- 🌐 Multiphysics focus: Coordinate coupled simulations that involve structural, fluid, thermal, and electromagnetic phenomena.
- 🧩 Modular design: Split functionality into clear modules that can be extended or swapped as needed.
This toolkit is designed to be non-intrusive. It enhances existing ANSYS workflows rather than replacing them. The emphasis is on predictable outputs, easy debugging, and straightforward customization.
To start, you should explore the Releases page to grab the latest installer for your platform. From there, follow the installation steps to bring the tools into your environment.
- Clear separation of concerns
- Core orchestration layer controls job queues, logging, and error handling.
- Solver adapters provide a stable interface to ANSYS physics solvers.
- Post-processing modules extract metrics and visuals from results.
- Off-the-shelf automation
- Build and run typical simulation sequences with a few commands.
- Schedule jobs and manage parallel executions to maximize hardware usage.
- Reproducible workflows
- Config files define models, solver settings, and post-processing steps.
- Environment captures ensure results can be reproduced on future runs.
- Extensibility
- New solvers, adapters, or post-processing routines can be added with minimal friction.
- Clear API definitions guide contributors and prevent regressions.
- Documentation and examples
- Simple tutorials show how to model common ANSYS scenarios.
- Real-world case studies illustrate best practices.
Images and visuals help explain concepts. See the images below for a sense of the workflow and visualization of results.
This section helps you get a usable setup quickly. If you are new to ANSYS, start with the basics of your toolchain. If you are a seasoned user, use this as a reference to integrate the toolkit into your routine.
- Prereqs
- An active ANSYS installation that matches your platform.
- A supported Python runtime for automation, if you plan to run Python scripts.
- Adequate hardware for your typical simulations (CPU cores, memory, and storage).
- Acquire the tool
- Go to the Releases page to download the installer tailored for your OS. This page is where you obtain the file to install the toolkit.
- File to download: the installer from the Releases page. Run the installer and follow the on-screen steps.
- Install
- Run the downloaded installer.
- Accept the default installation path unless you have a reason to customize it.
- The installer configures the environment and adds the toolkit to your command path.
- Verify
- Open a terminal or command prompt.
- Run a basic diagnostic command to verify the installation. If the command returns version information or a help screen, you are set.
- Run a sample workflow
- Use the sample project included in the repository to test the end-to-end run.
- Confirm that the solver interface returns expected results and that post-processing produces readable outputs.
If you want a quick path to the latest release, visit the Releases page and download the installer. For reference, the link to the page is included above.
The installation process aims to be straightforward. It centers on the releases page where the installer lives. The download is the first file you will use to set up the toolkit.
- Step 1: Obtain the installer
- Navigate to the releases page: https://github.com/nayeoww/ansys-tools/releases
- Choose the installer that corresponds to your operating system. Examples include Windows, macOS, and Linux builds.
- Download the installer file. This is the file you will run to install the toolkit.
- Step 2: Run the installer
- Locate the downloaded file in your downloads folder.
- Execute the installer. You may be prompted by the system security features to allow the program to run.
- Follow the installer prompts. Accept the license, choose an installation directory, and confirm.
- Step 3: Post-install checks
- After installation, open a terminal and type a command that the toolkit exposes to verify that it is available.
- If the command prints usage information, the setup is successful.
- If something fails, consult the troubleshooting section later in this document.
- Step 4: Optional environment setup
- Add the toolkit’s bin directory to your system path if the installer did not do this automatically.
- Set environment variables required by your ANSYS setup (e.g., license paths, solver environment variables).
- Step 5: First project
- Create a test project using the included sample.
- Run the default workflow, then inspect results and logs to confirm everything works as expected.
Note that the installation package is large and may take several minutes to install on slower networks. The installer provides progress feedback and will report any missing dependencies. If you encounter problems, check your system logs or consult the support resources available in the repository.
The toolkit uses a layered architecture designed for clarity and reliability. This section explains how the components interact and how data flows through a typical workflow.
- Orchestrator
- Acts as the conductor. It sequences tasks, handles retries, and coordinates data exchange between modules.
- Solver Adapters
- Provide a stable wrapper around ANSYS solvers. They translate generic commands into solver-specific instructions.
- Handle job submission, resource allocation, and result retrieval.
- Pre-processor
- Reads model definitions and converts them into solver-ready input.
- Applies geometry cleanups, meshing settings, boundary conditions, and material properties.
- Post-processor
- Extracts metrics such as displacement, stress, velocity, and field values.
- Produces plots, charts, and summarized reports.
- Data Model
- A shared representation of the simulation state. This model helps keep data consistent across modules.
- Utilities
- Logging, error handling, and common helpers are centralized for reuse.
- Extensibility points
- Adapters for new solvers or post-processors can be added with minimal changes to existing code.
- Custom scripts or modules can hook into the orchestrator to expand capability without touching core logic.
A typical end-to-end run looks like this:
- Define a model and materials
- Create a mesh and apply boundary conditions
- Submit the simulation to the solver via an adapter
- Retrieve results and run post-processing
- Save results in a structured format for reuse
Images help visualize this flow. See the header illustration above for a sense of the pipeline.
The repository is organized to keep related functionality together and to make it easy to contribute.
- core/
- The central logic of the orchestrator and configuration handling.
- adapters/
- Solver adapters that communicate with ANSYS or compatible solvers.
- preprocessor/
- Geometry handling, meshing presets, and input generation.
- postprocessor/
- Data extraction, visualization helpers, and report builders.
- examples/
- Ready-to-run samples that demonstrate common scenarios.
- docs/
- Detailed API references, tutorials, and troubleshooting guides.
- tests/
- Unit tests and integration tests to ensure stability across changes.
- tools/
- Utility scripts for development, packaging, and automation.
This structure keeps the codebase approachable while supporting robust growth as new features are added.
Real-world examples help you see how to adapt the toolkit to your own projects. The examples cover a range of common ANSYS workflows and illustrate best practices.
-
Example 1: Linear structural analysis
- Objective: Compute the deformation of a cantilever beam under a static load.
- Steps:
- Define geometry and material
- Create a mesh with appropriate quality controls
- Apply boundary conditions and load
- Run the solver through the adapter
- Post-process for displacement and stress results
- Outcome: A report with maximum displacement, von Mises stress, and contour plots.
-
Example 2: Fluid-structure interaction (FSI)
- Objective: Simulate a flexible plate in a fluid flow.
- Steps:
- Define fluid domain and boundary conditions
- Couple the fluid solver with a structural model
- Run time-dependent simulation
- Analyze forces on the plate and its deformation
- Outcome: Time histories of forces, deformation fields, and flow visualization.
-
Example 3: Electromagnetics and thermal coupling
- Objective: Model heat generation in a conductor under electromagnetic loading.
- Steps:
- Set up electromagnetic field solver input
- Couple to a thermal model for temperature rise
- Run steady or transient simulation
- Outcome: Temperature distribution and electromagnetic field maps.
Each example includes a ready-to-run project and a script to reproduce results. You can adapt the configurations to your own models.
Images illustrate typical results for these workflows:
- CFD Visualization
- Structural Deformation
A key strength of the toolkit is the ability to describe a workflow in a compact configuration file. The configuration captures model parameters, solver settings, and post-processing steps. This makes it easy to reuse the same setup across multiple runs.
- Model definitions
- Geometry inputs or references to CAD files
- Material properties and units
- Mesh settings
- Element types and sizing strategies
- Boundary layer controls for accurate results
- Solver options
- Convergence criteria, time stepping, and solver tolerances
- Coupling relationships
- Define how physics interact, such as heat transfer in a fluid or electromagnetic coupling with a thermal model
- Post-processing directives
- Metrics to extract, plots to generate, and file formats for export
Configuration files are human readable. They use a straightforward YAML-like syntax that is easy to edit with a simple text editor.
Example snippet (conceptual):
- model:
- geometry: "cad/part1.step"
- materials: ["Aluminium11", "Water"]
- mesh:
- type: "tetrahedral"
- max_size: 0.5
- solver:
- type: "static"
- tolerances: 1e-6
- coupling:
- heat_transfer: true
- postprocess:
- outputs: ["displacement", "stress", "temperature"]
This is a conceptual sketch. The actual configuration syntax is documented in the docs directory and adapts to the chosen solver adapters.
- Operating Systems
- Windows, macOS, or Linux with a supported environment
- Hardware
- A multi-core CPU with modern instructions
- Sufficient RAM for the scale of your simulations
- Adequate disk space for model files, meshes, and results
- Software prerequisites
- An active ANSYS installation compatible with the toolkit
- A compatible Python runtime if you plan to use Python-based scripts
- Optional: visualization tools and post-processing dependencies
The toolkit is designed to be lightweight in terms of its own footprint. It relies on the underlying solver for heavy computation, but it provides a stable interface, consistent data exchange, and a repeatable workflow.
- API references
- Clear descriptions of modules, interfaces, and expected inputs/outputs
- Tutorials
- Step-by-step walkthroughs for common tasks
- Troubleshooting
- Common errors with suggested remedies
- Developer notes
- How to extend the toolkit, add adapters, or create new examples
Documentation is structured to be easy to skim. You can jump to the section relevant to your current task, then return to broader topics as needed.
Images beside the documentation illustrate concepts like multi-physics coupling, mesh quality, and result visualization.
- Multiphysics diagrams
The toolkit exposes a clean API designed for clear integration with other tools and pipelines.
- Core API
- Job management: create, enqueue, monitor, and cancel tasks
- Data exchange: pass models, meshes, and results between modules
- Adapters API
- A stable interface for adding new solver integrations
- Implementations translate generic requests into solver-specific commands
- Post-processing API
- Uniform access to results, metrics, and visualizations
- Plugins and extensions
- Add new features without touching core logic
- Plug in custom scripts to automate niche tasks
If you plan to extend the toolkit, start with the adapters, then implement small post-processing tasks. The core is designed to remain stable as you grow the extension set.
Quality is central to the toolkit. Every feature goes through a suite of tests that cover common scenarios and edge cases.
- Unit tests for individual components
- Integration tests for solver adapters
- End-to-end tests for typical workflows
- Continuous integration to ensure cross-platform stability
Running tests helps catch regressions early. You should run tests after making changes or before submitting a pull request.
Short-term goals focus on reliability and ease of use. Long-term goals aim to broaden support and enhance collaboration.
- Short-term
- Add more sample projects across different physics
- Improve sample documentation with annotated run logs
- Simplify installation on containerized environments
- Medium-term
- Introduce a visual workflow designer
- Add performance profiling and resource usage dashboards
- Expand adapter library to cover more solver variants
- Long-term
- Build a marketplace for user-contributed adapters
- Support cloud-based execution with secure data handling
- Integrate versioned model templates for common industries
Roadmap items evolve as the project grows. You can follow ongoing progress in the Releases and Docs sections.
Releases are the primary mechanism for distributing the toolkit. They include installers, sample projects, and release notes that describe what changed.
- Locate the Releases page for the latest version
- The page provides installers for your operating system and often includes example projects
- This is the file you download and execute to install the toolkit
- Release notes cover:
- New features
- Bug fixes
- Known issues
- Migration tips if changes affect existing workflows
- How to verify a release
- Install on a clean environment
- Run the included sample projects
- Check results and verify that logs show expected messages
If you cannot access the Releases page, check the repository’s documentation for guidance on alternative download methods or contact the maintainers for access.
Problems can arise during installation or during runs. Here are common scenarios and straightforward steps to resolve them.
- Installation failures
- Verify that your OS matches the installer
- Ensure you have the required permissions to install software
- Check that you have enough disk space
- Re-download the installer if the file appears corrupted
- Solver adapter errors
- Confirm that your ANSYS installation is compatible with the adapter
- Verify environment variables related to the solver
- Check that the correct license is available
- Missing dependencies
- Install the required runtime or libraries
- Use the package manager recommended by the platform
- Unexpected results
- Review logs for warnings or errors
- Compare with a known-good example
- Validate input data for geometry, materials, and boundary conditions
The troubleshooting guide in the docs directory provides more details and specific commands to diagnose and fix common issues.
Images illustrating typical error visualizations can be helpful. For example:
- An error heat map from a failed run
- A screenshot of a log viewer with a highlighted error line
Contributions help the toolkit grow faster and stay relevant. If you want to contribute, follow these guidelines:
- Start with an issue or feature request
- Fork the repository and create a feature branch
- Add tests for any new behavior
- Write clear, concise code and comments
- Update documentation with changes
- Submit a pull request and wait for review
Code quality is important. Follow the project’s style guide and keep changes small and focused. When in doubt, ask questions in the issue tracker.
The toolkit is released under an open-source license. The exact terms are available in the LICENSE file in the repository. You should review the license to understand usage rights, distribution, and attribution requirements.
If you want to connect with others using the toolkit, the project supports several channels:
- Issue tracker for questions, bug reports, and feature requests
- Discussion boards for broader topics and help
- Community calls or webinars when scheduled
Accessibility and inclusivity are important. The project aims to be welcoming and helpful to newcomers while offering robust features for advanced users.
Images that illustrate community activity, such as conference talks or meetups, can be included here to give a sense of shared learning and collaboration.
A quick visual tour helps you understand the workflow at a glance.
- Step 1: Define your model
- Geometry, materials, and physics
- Step 2: Prepare the mesh
- Set mesh density, quality controls, and refinement zones
- Step 3: Configure the solver
- Choose static, transient, or multiphysics coupling
- Step 4: Run the simulation
- Submit the job and monitor progress
- Step 5: Post-process results
- Generate plots, compute metrics, and export data
- Step 6: Reuse results
- Save the configuration and results for future runs
These steps form a repeatable pattern you can apply across projects.
- Multiphysics overview
- CFD visualization
These visuals help ground the documentation and give you a sense of what the tool helps you accomplish.
- The Releases page is the primary distribution channel for installers and example projects. Please use that page to obtain the latest software package.
- The toolkit’s value comes from predictable workflows, clear data models, and a modular design. The aim is to keep complex simulations manageable and repeatable.
- Contributions are welcome and help the community grow. If you have ideas for new adapters, new physics packs, or enhancements to the workflow, share them in the issue tracker.
This README is designed to be informative and practical. It emphasizes clear steps, stable interfaces, and a calm, confident tone. The goal is to help you get productive quickly and to support long-term growth as your projects evolve.