Fracture Surface Inspection via Affine Transformation
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Solution Overview
Problem
Existing fracture surface inspection methods for connecting rods suffer from reduced measurement accuracy due to mismatched coordinates between the rod part and cap part, caused by differing inclination angles and distances of the fracture surfaces relative to the imaging device.
Innovation Solution
A fracture surface inspection device and method that includes a data acquisition unit for acquiring two-dimensional and three-dimensional data, a contour extraction unit, a transformation amount calculation unit for affine transformation, a distortion correction unit to align the data, and a comparison unit to ensure accurate matching and comparison of the fracture surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If three-dimensional data on fracture surfaces is acquired by imaging at different angles and positions, then measurement coverage is improved, but coordinate matching accuracy deteriorates due to inclination angle and distance differences
Solution Approach 1:
The patent applies affine transformation to change the coordinate system parameters of the imaged fracture surface, allowing data acquired at different angles and positions to be transformed into a common coordinate system. This resolves the contradiction by enabling broad measurement coverage while maintaining coordinate matching accuracy through mathematical parameter transformation.
Solution Approach 2:
The patent introduces an intermediary coordinate transformation process that mediates between the differently oriented fracture surface data and the common coordinate system. This intermediary transformation layer allows data from various imaging angles to be integrated without losing coordinate matching accuracy.
2Loss of information
If fracture surfaces are imaged from different positions to capture complete surfaces, then data completeness is improved, but comparison accuracy deteriorates due to coordinate system misalignment
Solution Approach 1:
The patent uses affine transformation to change the coordinate parameters of fracture surface data captured from different positions, enabling complete surface coverage while maintaining the ability to accurately compare corresponding points through unified coordinate transformation.
3Loss of information
If multiple imaging angles are used to capture fracture surface details, then surface detail coverage is improved, but processing complexity increases due to coordinate transformation requirements
Solution Approach 1:
The patent employs affine transformation, which is a computationally efficient mathematical operation, to handle coordinate transformations of multi-angle imaging data. This approach maintains comprehensive surface detail coverage while minimizing processing complexity compared to more complex transformation methods.
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
Enables high-speed and high-accuracy inspection of fracture surfaces by affine-transforming and correcting distortion in the three-dimensional data, ensuring precise comparison and evaluation of surface unevenness.
Implementation Method 1
irradiating a laser beam on the fracture surfaces thereof, and imaging the projected images
Data Source
AI summary
A fracture surface inspection device for inspecting a first fracture surface and a second fracture surface that are generated through fracture splitting, which is provided with a data acquisition unit configured to acquire two-dimensional data and three-dimensional data on each of the fracture surfaces, a contour extraction unit configured to extract, from the two-dimensional data, a first contour of the first fracture surface and a second contour of the second fracture surface, a transformation amount calculation unit configured to calculate a transformation amount X(affine) when the second contour is affine-transformed to the first contour, a distortion correction unit configured to calculate distortion correction data by affine-transforming the three-dimensional data on the second fracture surface with the transformation amount X(affine), and a comparison unit configured to compare the three-dimensional data on the first fracture surface and the distortion correction data.