Flow Analysis Apparatus Using Optimized CFD Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current flow analysis methods using Computational Fluid Dynamics (CFD) require extensive iterations to achieve steady-state results, leading to prolonged analysis times and increased costs, especially when simulating fluid flow around complex components.
Innovation Solution
An apparatus and method that utilize a flow analyzer and analysis optimizer to generate and optimize flow analytic models, predicting output signals through iterative numerical analysis, and employing filters and optimization algorithms to refine results, thereby reducing the number of necessary iterations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive iterative numerical analysis is performed to achieve steady-state results in CFD, then the reliability of flow analysis results is improved, but the analysis time increases significantly
Solution Approach 1:
The patent applies preliminary action by performing a preliminary flow analysis to extract initial parameters before conducting the main iterative numerical analysis. This preliminary step prepares the system in advance by identifying key parameters and establishing initial conditions, which reduces the number of iterations needed in the subsequent detailed analysis, thereby maintaining reliability while reducing overall analysis time.
Solution Approach 2:
The patent segments the flow analysis process into multiple stages: preliminary flow analysis to extract parameters, identification of target parameters, and focused iterative analysis on specific regions or parameters. This segmentation allows the system to perform comprehensive analysis where needed while avoiding unnecessary iterations in other areas, thus improving reliability of critical results without proportionally increasing total analysis time.
2Productivity
If the number of iterations is reduced to shorten analysis time, then productivity is improved, but the reliability of steady-state results deteriorates
Solution Approach 1:
The patent applies local quality by focusing iterative analysis resources on specific target parameters and regions that most affect reliability, rather than uniformly analyzing all parameters. The system identifies which parameters require high-precision iterative analysis and concentrates computational effort there, while using fewer iterations for less critical parameters, thus maintaining overall result reliability with reduced total computation time.
Solution Approach 2:
The patent applies partial action by performing iterative analysis on selected target parameters rather than all parameters. The system identifies a subset of parameters that most influence flow analysis reliability and performs extensive iterations only on those, while using simplified or reduced iterations for other parameters, achieving adequate reliability with improved productivity.
3Measurement precision
If comprehensive numerical analysis is performed on all parameters, then measurement precision is improved, but device complexity and computational resources increase
Solution Approach 1:
The patent applies the extraction principle by separating and identifying specific target parameters from the complete set of parameters. The system extracts only those parameters that are critical for flow analysis reliability and focuses detailed numerical analysis on these extracted parameters, while using simplified approaches for remaining parameters, thus reducing computational complexity while maintaining necessary measurement precision.
Data Source
AI summary
A flow analysis apparatus is provided. The flow analysis apparatus includes a flow analyzer configured to derive a plurality of output signals by performing flow analysis for a plurality of cells by using a flow analytic model for simulating numerical analysis by Computational Fluid Dynamics (CFD) with respect to a plurality of cells that divide a space around a component, and an analysis optimizer configured to perform optimization for the plurality of output signals.