Component Discontinuity Mapping on Images for Defect Distribution Analysis
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Solution Overview
Problem
Current defect prediction methods for aeronautical components, such as turbine blades, are inefficient and inaccurate due to reliance on indirect data from the manufacturing environment, making it difficult to identify and analyze defects before they occur, leading to high discard rates and manufacturing losses.
Innovation Solution
An information processing apparatus and method that receives user instructions to display and analyze discontinuity information, including positional data, to accurately ascertain the occurrence distribution of defects on components, using a processor to acquire and display this information on images of the components, allowing for efficient and precise identification of defect locations and types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If indirect manufacturing environment data (temperature, vibration) is used for defect prediction, then defect prediction capability is provided, but prediction accuracy is low
Solution Approach 1:
The patent introduces an image processing apparatus as an intermediary between the manufacturing process and defect analysis. This apparatus captures actual component images during manufacturing and processes them to generate defect information, serving as a mediator that bridges the gap between indirect environmental data and direct defect detection, thereby improving prediction accuracy while maintaining the ability to predict defects
Solution Approach 2:
The patent replaces indirect mechanical sensing (temperature, vibration sensors) with direct optical imaging for defect detection. By substituting the mechanical/environmental sensing approach with optical image capture and processing, the system achieves higher prediction accuracy while retaining defect prediction capability
2Difficulty of detecting and measuring
If defect inspection is performed on completed components using radiation images, then defect detection is achieved, but manufacturing losses occur due to high discard rates
Solution Approach 1:
The patent implements preliminary defect detection during the manufacturing process itself, rather than waiting until completion. By capturing images and processing them in real-time during manufacturing, the system identifies defects early, allowing for immediate corrective action before components are completed and potentially discarded, thereby reducing manufacturing losses while maintaining defect detection capability
Solution Approach 2:
The patent establishes a feedback loop where image processing results are immediately fed back to the manufacturing process. The system generates defect information from captured images and provides this feedback to operators or control systems, enabling real-time adjustments to prevent defect propagation and reduce waste, thus achieving both defect detection and loss reduction
3Measurement precision
If detailed discontinuity information is acquired and displayed, then defect analysis accuracy is improved, but information processing complexity increases
Solution Approach 1:
The patent segments the defect information processing into distinct functional modules: image capture, image processing, defect information generation, and display control. Each module handles a specific aspect of the information flow, breaking down the complex task of detailed defect analysis into manageable segments that can be processed independently, thereby improving defect analysis accuracy while organizing system complexity into manageable parts
Solution Approach 2:
The patent transforms defect information from raw image data into a different dimensional representation through image processing. By converting spatial image information into structured defect information with specific characteristics and positions, the system enhances analysis accuracy while changing the data dimensionality to make processing more efficient and less complex
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
This approach enables the efficient and accurate identification of defect occurrence distributions, improving manufacturing processes and design by providing detailed insights into defect locations and types, thereby reducing waste and enhancing manufacturing efficiency.
Implementation Method 1
the discontinuity is detected by transmission of radiation
Data Source
AI summary
Provided are an information processing apparatus, an information processing method, and a program capable of efficiently and accurately checking an occurrence distribution of discontinuities. An information processing apparatus (10) is an information processing apparatus (10) including a processor (14), in which the processor (14) is configured to: receive a display selection instruction from an operation unit (24) operated by a user; acquire discontinuity information that is information related to a discontinuity of a component and includes positional information of the discontinuity on the component; acquire an occurrence position distribution of the discontinuity based on the discontinuity information; and display the occurrence position distribution on an image of the component in response to the display selection instruction.