Shot Peening Coverage Evaluation Using Adaptive Dent Region Extraction
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Solution Overview
Problem
The evaluation of shot peening coverage is affected by the size of shot media, leading to inaccurate assessments due to varying dent sizes on treated surfaces, which can result in increased influence of single dents on overall coverage evaluation.
Innovation Solution
An evaluation system that corrects captured images by extracting an evaluation region based on the size of dent regions, generating an evaluation image, and adjusting the region size to a predetermined standard, allowing for accurate coverage evaluation using a neural network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same area surface is used as evaluation target for shot media of different sizes, then the evaluation process is simple and standardized, but the evaluation accuracy of coverage deteriorates due to varying influence of single dents
Solution Approach 1:
The patent applies local quality by making the evaluation region size adaptive to the dent size. Instead of using a fixed evaluation region for all shot media sizes, the system dynamically adjusts the evaluation region dimensions based on the detected dent characteristics. This allows the evaluation process to be locally optimized for each shot media size, improving measurement precision while maintaining procedural standardization through automated adaptation.
Solution Approach 2:
The patent changes the parameter of evaluation region size based on dent size. By detecting the dent diameter and subsequently adjusting the evaluation region dimensions proportionally, the system adapts the evaluation parameters to match the shot media size. This parameter change approach resolves the contradiction by allowing standardized evaluation procedures while accommodating variations in shot media size to maintain accuracy.
2Productivity
If the evaluation region size is fixed, then the evaluation process is simple and fast, but the evaluation accuracy deteriorates when dent sizes vary significantly
Solution Approach 1:
The patent applies preliminary action by detecting the dent size before determining the evaluation region. The system first identifies and measures the dent characteristics, then uses this information to set the appropriate evaluation region size. This preliminary detection and adaptation step ensures that the evaluation is performed with optimally sized regions, improving accuracy without significantly impacting processing speed due to the automated nature of the adaptation.
3Measurement precision
If a larger evaluation region is used, then the influence of single dents is reduced and evaluation accuracy improves, but the evaluation process becomes more complex and time-consuming
Solution Approach 1:
The patent applies dynamics by making the evaluation region size dynamic rather than fixed. The system automatically adjusts the evaluation region dimensions based on the detected dent size, creating a dynamic adaptation mechanism. This dynamic approach improves measurement precision by ensuring appropriate evaluation region sizes while managing complexity through automated, rule-based adjustment rather than manual configuration.
Data Source
AI summary
An evaluation system is a system configured to evaluate coverage of an evaluation target by using a captured image of the evaluation target. The evaluation system includes: an image acquisition unit configured to acquire the captured image; a correction unit configured to generate an evaluation image by correcting the captured image; an evaluation unit configured to evaluate the coverage based on the evaluation image; and an output unit configured to output a result of the evaluation carried out by the evaluation unit, wherein the correction unit extracts an evaluation region from the captured image based on the size of a dent region included in the captured image and generates the evaluation image based on the evaluation region, and the dent region is an image of a dent formed on the evaluation target.