CADParser

Overview

CADParser is a reimplementation of a transformer-based model that generates parametric construction sequences from 3D CAD models. This project focuses on understanding and replicating the complex process of converting 3D geometric data into step-by-step construction instructions that can be used for manufacturing, assembly, or educational purposes.

Key Features

• 3D Model Analysis: Processes complex 3D CAD models to extract geometric features
• Sequence Generation: Produces step-by-step construction sequences from geometric data
• Transformer Architecture: Uses state-of-the-art transformer models for sequence learning
• Graph Neural Networks: Leverages DGL for processing geometric relationships
• Parametric Understanding: Generates sequences that maintain parametric relationships

Technical Implementation

The system employs a sophisticated multi-stage approach:

• 3D Feature Extraction: Analyzes CAD models to identify geometric primitives and relationships
• Graph Construction: Builds graph representations of geometric dependencies
• Transformer Processing: Uses attention mechanisms to understand construction order
• Sequence Generation: Produces human-readable construction steps
• Validation: Ensures generated sequences are geometrically valid

Applications & Impact

CADParser addresses critical challenges in CAD workflow automation:

• Manufacturing: Automates the generation of assembly instructions
• Education: Helps students understand complex 3D construction processes
• Reverse Engineering: Analyzes existing designs to understand construction methods
• Quality Control: Validates construction sequences for feasibility
• Documentation: Automatically generates technical documentation

Research Contributions

This project contributes to the field of computational geometry and CAD automation:

• Novel application of transformers to 3D geometric sequence generation
• Integration of graph neural networks with transformer architectures
• Development of robust methods for parametric relationship preservation
• Advancement in automated CAD documentation and instruction generation