Clamping Arm 3D Length Measurement for Pre-Assembly Matching
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Solution Overview
Problem
High-end hand tools face accuracy issues due to varying clamping arm sizes caused by mold loss during production, leading to interference and reworking of finished products, as manual measurement is relied upon and specification inspections are delayed until assembly is complete.
Innovation Solution
A system and method using a 3D vision camera to obtain 3D point clouds and 2D images of clamping arms, measuring assembling lengths by edge 3D features and tangent planes, enabling accurate classification and matching of clamping arms before assembly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement is used to measure clamping arm sizes, then measurement flexibility is maintained, but measurement precision deteriorates due to size variations caused by mold loss
Solution Approach 1:
The patent replaces manual mechanical measurement with an automated optical measurement system using a 3D vision camera. The system captures 3D point cloud data and 2D images of clamping arms, then processes this data computationally to extract dimensional information, eliminating human measurement errors and improving precision without requiring complex manual procedures
Solution Approach 2:
The patent creates a digital 3D copy (point cloud) of the physical clamping arm for measurement purposes. This virtual replica allows precise extraction of dimensional data without physical contact or manual intervention, enabling accurate measurement of dimensions that would be difficult to measure manually while maintaining measurement flexibility
2Manufacturing precision
If specification inspection is performed after hand tool assembly is complete, then manufacturing simplicity is maintained, but manufacturing precision deteriorates due to interference between clamping arms
Solution Approach 1:
The patent performs measurement and classification of clamping arm dimensions before the assembly process. By pre-measuring and sorting clamping arms into categories based on their dimensions, the system enables precise matching during assembly, preventing interference issues before they occur and ensuring high assembly precision without requiring post-assembly inspections
Solution Approach 2:
The patent segments the measurement process into independent steps: capturing 3D data, extracting dimensional information, classifying clamping arms by size, and matching them for assembly. This segmentation allows each step to be optimized independently, improving overall manufacturing precision while maintaining production efficiency through automated classification and matching
3Reliability
If finished products are disassembled for reworking due to size differences, then product quality is maintained, but productivity deteriorates due to heavy reworking loads
Solution Approach 1:
The patent performs dimensional measurement and classification of clamping arms before assembly, identifying and separating parts with problematic dimensions in advance. This preliminary action prevents defective assemblies from being produced, eliminating the need for disassembly and reworking while maintaining high product quality standards
Solution Approach 2:
The system provides real-time feedback on clamping arm dimensions through automated measurement and classification. By immediately identifying parts that fall outside acceptable tolerances and routing them for rework or rejection before assembly, the system prevents quality issues from propagating through the production process, maintaining reliability without requiring costly post-assembly corrections
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances assembly accuracy by allowing pre-assembly measurement and classification of clamping arms, reducing reworking and improving the precision of hand tools like pliers and clamps.
Implementation Method 1
obtaining, by using a 3D vision camera scanning the clamping arm, a 3D point cloud and a 2D image of the clamping arm
Data Source
AI summary
A system and method for measuring assembling length of clamping arm of hand tool are provided by the disclosure. The method includes: obtaining a tip region and a base region for respectively obtaining a tip edge 3D feature, a pivot body 3D feature and a pivot edge 3D feature respectively corresponding to a tip portion and a pivot portion of the hand tool, according to a 3D point cloud and a 2D image; calculating a length measuring vector according to the 3D point cloud, the 2D image, the pivot body 3D feature and the pivot edge 3D feature; obtaining a tip tangent plane corresponding to the tip edge 3D feature, and a pivot tangent plane corresponding to the pivot edge 3D feature; and calculating the distance between the tip tangent plane and the pivot tangent plane, to obtain the assembling length of the clamping arm.