Inverse Modeling for Consistent Part Dimensions
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Solution Overview
Problem
Current manufacturing processes face variations in part dimensions due to numerous input parameters, leading to inconsistencies even when using the same part design, which existing technologies fail to effectively address.
Innovation Solution
An inverse modeling method that imports a 3D reference design, collects metrology data, compares it with actual manufactured parts, and adjusts the design or manufacturing process based on deviations to ensure acceptable tolerances, using processors to revise designs and modify processes dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional manufacturing processes are used with fixed part designs, then manufacturing simplicity is maintained, but part dimension consistency deteriorates due to variations from numerous input parameters
Solution Approach 1:
The system implements feedback by comparing actual manufactured part dimensions with target dimensions from the part design, using this comparison data to dynamically adjust manufacturing parameters and part designs, thereby improving dimension consistency while managing process complexity
Solution Approach 2:
The system transitions from static part designs and fixed manufacturing processes to dynamic models where part designs and manufacturing parameters are continuously adjusted based on real-time comparison data, enabling adaptation to variations in input parameters while maintaining manufacturing precision
2Manufacturing precision
If multiple manufacturing iterations are performed to achieve acceptable part dimensions, then manufacturing precision improves, but productivity deteriorates due to increased time and resource consumption
Solution Approach 1:
The system performs preliminary actions by creating dynamic models that predict the effects of manufacturing parameters on part dimensions before actual manufacturing, allowing optimization of manufacturing parameters in advance to reduce the number of iterations needed while maintaining precision
Solution Approach 2:
The system replaces traditional trial-and-error mechanical manufacturing iterations with computational modeling and simulation, using software-based dynamic models to predict and optimize manufacturing outcomes, thereby reducing physical iteration cycles and improving productivity
3Manufacturing precision
If physics-based simulations are used to predict manufacturing outcomes, then manufacturing precision improves, but the system fails to account for actual in-process variations
Solution Approach 1:
The system implements self-service by automatically collecting actual manufacturing data from the production process, using this real data to continuously refine and update the dynamic models, ensuring the models remain accurate under real manufacturing conditions without requiring external calibration
Solution Approach 2:
The system uses feedback from actual manufactured parts to continuously improve the dynamic models, comparing predicted dimensions with actual measurements and using this information to adjust model parameters, thereby increasing reliability under real manufacturing conditions while maintaining precision
Data Source
AI summary
A method for inverse modeling of a part includes: importing a first electronic file comprising a three-dimensional reference design of a part; manufacturing the part based on the first electronic file; collecting metrology data for the part and creating a second electronic file comprising the collected metrology data; comparing the first electronic file and the second electronic file and determining a deviation based on the comparison; determining whether the deviation is acceptable; and in the event the deviation is determined not to be acceptable, revising the three-dimensional reference design of the part or modifying a manufacturing process for the part.