CAD Workflow Automation Tool

A Python-based automation framework built using PyCATIA for optimizing CATIA V5 models by automatically cleaning geometry, consolidating surfaces, removing unnecessary entities, and preparing CAD data for visualization and XR workflows.

Engineering teams often receive CAD models containing:

• Excessive surface fragmentation
• Redundant construction geometry
• Unused parameters
• Sketch entities
• Inconsistent geometry organization

Manual cleanup can be time-consuming and error-prone.

This tool automates the optimization process by traversing CATIA Hybrid Bodies, joining surfaces, cleaning unused geometry, preserving visual properties, and generating optimized output models.

Processes multiple CATPart files automatically from a source directory.

• Detects Hybrid Shapes
• Creates Join operations
• Consolidates fragmented surfaces
• Removes redundant geometry

Automatically traverses nested Hybrid Bodies and processes them recursively.

• Samples existing surface colors
• Preserves appearance during optimization
• Reapplies colors to generated geometry

Removes:

• Lines
• Curves
• Circles
• Sketch geometry
• 2D entities

Deletes predefined parameters such as:

• BackCircle
• FrontCircle
• RoadLine
• ACTIVE_AREA

Generates:

• Hybrid Bodies Processed
• Shapes Joined
• Shapes Deleted
• Parameters Deleted
• Geometry Cleanup Statistics
• Processing Time

Input CATPart Files
        │
        ▼
Open in CATIA V5
        │
        ▼
Scan Hybrid Bodies
        │
        ▼
Join Geometry
        │
        ▼
Preserve Colors
        │
        ▼
Delete Redundant Shapes
        │
        ▼
Remove Parameters
        │
        ▼
Remove 2D Geometry
        │
        ▼
Save Optimized CATPart
        │
        ▼
Generate Summary Report

This tool is useful for:

• CAD Data Preparation
• XR Model Preparation
• Visualization Pipelines
• Digital Twin Workflows
• Design Review Environments
• Engineering Data Cleanup
• Automotive CAD Optimization

Hybrid Bodies Processed: 45
Stable Shapes Joined: 312
Unstable Shapes Joined: 78
Shapes Deleted: 390
Parameters Deleted: 8
2D Geometries Deleted: 52
Processing Time: 14.8 seconds

git clone https://github.com/YOUR_USERNAME/cad-workflow-automation.git
cd cad-workflow-automation

pip install -r requirements.txt

• CATIA V5
• Python 3.10+
• PyCATIA

Update source and destination folders:

source_folder = r"C:\Input"
destination_folder = r"C:\Output"

Run:

python cad_workflow_automation.py

• AI-assisted geometry classification
• Automated CAD quality scoring
• Optimization recommendations using LLMs
• Intelligent component grouping
• CAD analytics dashboard
• LangChain-powered engineering assistant

Praveen Mark

Automation Engineer | Python Developer | XR & Engineering Workflow Automation