Text-Based Mechanical Description Languages & Co-Coding

Historical & Conceptual Background

Survey of Current Solutions

The landscape of text-based mechanical description languages and tools is rapidly expanding. Below is an overview of the most prominent solutions, their capabilities, and use cases in both industry and maker communities.

Major Tools & Languages

• OpenSCAD: An open-source scripting language and tool focused on constructive solid geometry (CSG). It excels at parametric designs and is widely used in 3D printing and open hardware projects. Thingiverse Customizer integrates OpenSCAD for easy model customization.
• CadQuery: A Python-based CAD scripting framework that wraps the powerful OpenCASCADE geometry kernel. CadQuery offers a high-level, design-intent-driven API and is suitable for complex, parametric models.
• Modelica: An equation-based, object-oriented language for modeling complex mechanical, electrical, and multi-domain systems. Widely used in automotive and industrial simulation.
• Onshape FeatureScript: A custom scripting language for Onshape’s cloud CAD platform, enabling users to create custom features and automate design workflows.
• FreeCAD: An open-source parametric 3D modeler with Python scripting support, suitable for both beginners and advanced users.

Feature Comparison

Community Resources

• OpenSCAD Forum
• FreeCAD Forum
• CadQuery on Stack Overflow
• Modelica Community

Case Studies & Community Examples

• Thingiverse: Community-driven repository of 3D printable models, many created with OpenSCAD scripts.
• OpenModelica: Open-source Modelica-based simulation environment used in automotive and industrial applications.
• CadQuery Example Gallery: Showcase of parametric CAD models built with CadQuery.
• FreeCAD Forum: Active community sharing scripts, models, and tutorials.

For more details, see the full research report (PDF) or download the DOCX.

Video Showcase

AI-Assisted Co-Coding

The integration of artificial intelligence, especially large language models (LLMs), is transforming how engineers and designers interact with text-based mechanical description languages. AI-assisted co-coding leverages tools like GitHub Copilot and other LLMs to generate, autocomplete, and optimize CAD scripts and parametric models from natural language or partial code.

Key Capabilities

• Natural Language to CAD: AI can translate design requirements or descriptions into code for tools like OpenSCAD, CadQuery, or Modelica.
• Auto-completion & Suggestions: LLMs assist with code completion, error correction, and design space exploration.
• Design Optimization: AI can propose parametric variations, optimize geometry, and automate repetitive tasks.
• Integration with Workflows: AI tools are increasingly being integrated into CAD platforms and IDEs, streamlining the design process.

Examples & Resources

• GitHub Copilot: AI-powered code completion and generation for mechanical design scripts.
• AI-Assisted OpenSCAD: Experiments and demos of LLMs generating OpenSCAD code from natural language.
• CadQuery AI Examples: Community projects using AI to generate parametric CAD models.
• Modelica Research Papers: Studies on AI integration in system modeling and simulation.

AI-assisted co-coding is making text-based mechanical design more accessible, efficient, and innovative. For more details, see the full research report (PDF) or download the DOCX.

Tutorials & Guides

Get started with text-based mechanical design using these step-by-step tutorials and sample projects. Each guide includes code snippets, links to documentation, and community resources.

Tutorials & Guides

Get started with text-based mechanical design using these step-by-step tutorials and sample projects. Each guide includes code snippets, links to documentation, and community resources.

// Example: Parametric cube in OpenSCAD
        size = 30;
        cube([size, size, size]);
        

# Example: Parametric box in CadQuery
        import cadquery as cq
        result = cq.Workplane("XY").box(30, 30, 30)
        

// Example: Simple mass-spring-damper in Modelica
        model MassSpringDamper
          parameter Real m = 1;
          parameter Real k = 100;
          parameter Real d = 0.2;
          Real x, v;
          equation
            m*der(v) + d*v + k*x = 0;
            der(x) = v;
        end MassSpringDamper;
        

Challenges & Future Directions

Community & Resources