Reverse Engineering System Automates CAD Conversion
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Solution Overview
Problem
Conventional reverse engineering software is complex and difficult for less experienced users to operate effectively, as it requires technical expertise and specific parameter settings for scanning and CAD data conversion, often resulting in incomplete or inaccurate conversions due to limited polygon information processing.
Innovation Solution
A reverse engineering system that includes a scanner module for acquiring shape data and a conversion module for converting mesh data into CAD data, with automated processing and parameter determination based on measurement conditions and image data, allowing for highly reproducible results even for users with little experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional reverse engineering software is used with multiple parameter settings, then conversion accuracy can be improved, but operation complexity increases significantly
Solution Approach 1:
The system automatically determines optimal processing parameters by analyzing the captured image data itself. The determination unit extracts features from the image (such as object type, complexity, and characteristics) and autonomously selects appropriate processing conditions without requiring user input or expertise in reverse engineering parameters.
Solution Approach 2:
The system dynamically adjusts processing parameters based on the actual captured image data. Instead of providing fixed parameter sets, the determination unit changes parameters adaptively according to the specific characteristics of each scanned object, optimizing conversion accuracy for different geometries and complexities.
2Ease of operation
If automated parameter determination is implemented, then ease of operation improves, but processing time may increase
Solution Approach 1:
The system performs preliminary analysis of the captured image data immediately after scanning, extracting key features and characteristics before the actual CAD conversion process. This preliminary determination of processing conditions is done in parallel with other preprocessing steps, minimizing additional time overhead.
Solution Approach 2:
The system replaces manual parameter selection (mechanical/user-driven process) with automated image analysis and algorithmic determination. By substituting human judgment with computer-based image feature extraction and processing, the system achieves automation without significant time penalty.
3Device complexity
If only polygon information is used for reverse engineering, then data processing is simple, but information completeness is insufficient for high reproducibility
Solution Approach 1:
The system transitions from processing only polygon vertex data (2D coordinate information) to utilizing the captured image data dimension (visual appearance, texture, color, and geometric features). This additional dimension of information from the captured images enables more reliable shape reproduction and material identification without excessively increasing processing complexity.
Data Source
AI summary
To enable even a less experienced user to easily perform highly reproducible reverse engineering. A reverse engineering system includes a scanner module and a conversion module. The scanner module includes a measurement condition setting unit, a scanner control unit that generates image data according to a measurement condition, a mesh data creation unit that creates mesh data based on measurement data of a workpiece, and a scanner output unit that outputs the mesh data to the conversion module. The conversion module includes a CAD conversion unit that converts the mesh data into CAD data according to a processing parameter calculated based on at least one of the measurement condition or the image data.