Vortex Identification Using Velocity Angle Analysis
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Solution Overview
Problem
Existing vortex identification techniques in fluid flows are subjective, prone to false positives and negatives, and require manual parameter input, leading to errors and increased post-processing efforts.
Innovation Solution
A data-driven method that uses a Gaussian Mixture Model and hull-based neighbor formation to identify vortex cores by analyzing changes in velocity angles around points, eliminating the need for manual parameter input and providing objective results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional vortex identification techniques are used, then vortex detection can be performed, but the results are subjective and prone to false positives and negatives
Solution Approach 1:
The system automatically identifies vortices by analyzing velocity angle changes and determining convex hulls of neighbor points, eliminating the need for manual parameter input and expert judgment. The algorithm self-calibrates by computing velocity angles from velocity vectors and automatically thresholding based on the distribution of angle change magnitudes across all evaluated points.
Solution Approach 2:
The patent replaces subjective expert analysis with an automated computational algorithm that objectively evaluates velocity angle changes. The system substitutes manual vortex identification with a data-driven approach that computes convex hulls and applies consistent mathematical criteria across the entire flow field, eliminating human bias and inconsistency.
2Adaptability or versatility
If manual parameter input is required for vortex identification, then the detection process can be customized, but expert input is needed and errors increase
Solution Approach 1:
The algorithm automatically determines all necessary parameters including velocity angle thresholds and neighbor point selection criteria. The system computes the distribution of velocity angle changes across the flow field and self-calibrates the detection threshold based on the identified distribution characteristics, eliminating the need for manual parameter specification while maintaining adaptability to different flow conditions.
Solution Approach 2:
The system dynamically adjusts detection parameters based on the local flow conditions by computing velocity angles from local velocity vectors and adapting the threshold based on the statistical distribution of angle changes in the evaluated region, allowing the detection criteria to automatically adapt to different vortex scales and flow regimes.
3Productivity
If traditional vortex identification methods are used, then vortex detection can be performed, but post-processing efforts increase to verify results
Solution Approach 1:
The algorithm incorporates feedback by evaluating velocity angle changes for multiple points and using the distribution of these changes to automatically determine the threshold for vortex identification. The system refines its detection criteria based on the collective information from all evaluated points, reducing the need for subsequent verification while maintaining high accuracy.
Solution Approach 2:
The patent replaces manual verification processes with automated objective criteria based on convex hull computation and velocity angle analysis. The system provides machine-readable output that can be directly used for further analysis without requiring expert review, significantly reducing post-processing time while maintaining detection reliability.
Data Source
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AI summary
A vortex detection method is described. The method comprises storing a plurality of points at locations over a region (32) in which vortex detection is to be performed. A value for each of a plurality of fluid flow parameters, such as velocity, pressure and density, is determined at each point. The points are grouped as being contained in either a vortical flow portion or non-vortical flow portion of the region according to one or more statistical distribution for said fluid flow parameters. A point (p) in a vortex core is identified according to the direction of motion of an array of further points (46) relative to said point in the vortex core. The further points (46) may surround the vortex core point.