Adaptive Machining of Complex Component Surfaces
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Solution Overview
Problem
Existing machining methods for complex components like gas turbine engine blades and vanes face challenges in adapting to geometric variations, requiring precise machining and repair while maintaining original design parameters and functionality.
Innovation Solution
An adaptive machining system that includes a component measuring device, numerical control machine, and a system controller with model transformation, offset distribution, and program modification units to compare electronic surface models with measured data, adjusting machining parameters to achieve a compromise between design intent and actual surface geometry, ensuring precise machining and repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional machining methods are used for complex components, then manufacturing simplicity is maintained, but manufacturing precision deteriorates due to inability to adapt to geometric variations
Solution Approach 1:
The system performs preliminary scanning of the component surface to obtain actual geometric data before machining. This advance measurement allows the machining parameters to be pre-adjusted based on the actual surface geometry, ensuring high precision without requiring complex real-time adjustments during the machining process itself.
Solution Approach 2:
The system implements a feedback loop where the scanned surface geometry data is continuously compared with the ideal design model, and the machining parameters are automatically adjusted based on the detected deviations. This closed-loop control ensures that the final surface geometry matches the design specifications with high precision.
2Manufacturing precision
If adaptive machining with multiple scanning and adjustment steps is implemented, then manufacturing precision is improved, but productivity deteriorates due to increased process time
Solution Approach 1:
The system performs preliminary scanning and determines the actual surface geometry before machining operations. By pre-calculating the necessary adjustments to hole locations and orientations based on the scanned data, the system avoids time-consuming adjustments during machining, thus maintaining high productivity while achieving precise hole placement.
Solution Approach 2:
The system dynamically adjusts machining parameters based on the scanned surface geometry. Rather than using fixed, conservative parameters that would require multiple passes, the system optimizes parameters in real-time based on actual surface conditions, reducing the number of machining passes required while maintaining precision.
3Adaptability or versatility
If rigid adherence to design surface data is maintained, then design intent is preserved, but adaptability deteriorates due to inability to accommodate actual surface variations
Solution Approach 1:
The system continuously compares the scanned actual surface geometry with the ideal design model and uses this feedback to calculate compensatory adjustments. This allows the system to adapt to actual surface variations while systematically correcting deviations from design intent, achieving both adaptability and precision.
Solution Approach 2:
The system changes machining parameters such as tool path offsets, hole location coordinates, and orientation angles based on the detected surface variations. By dynamically adjusting these parameters within acceptable tolerances, the system adapts to actual surface geometry while maintaining compliance with design specifications.
Data Source
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AI summary
A method includes receiving a design surface data set, obtaining a component surface data set from the inspection of a component, creating a modified surface data set in response to the design surface data set and the component surface data set, generating a machining path in response to the modified surface data set, and machining the component in response to the machining path to produce a machined component according to the modified surface data set. The machined component deviates from the design surface data set.