Wind Noise Analyzer Identifies Flow Field Positions

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Solution Overview

Problem

There is no standardized method for identifying the parts of a flow field around a vehicle that significantly contribute to surface pressure fluctuations, leading to variations in results among engineers and a reliance on trial and error in reducing wind noise.

Innovation Solution

A wind noise analyzer that performs unsteady computational fluid dynamics simulations to calculate average flow velocity, vorticity, and turbulent flow velocity, and uses pressure source density as an indicator to identify the degree of contribution of each spatial node to surface pressure fluctuations, allowing for targeted shape changes to reduce noise.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If engineers identify flow field positions based on their own know-how and perception, then they can perform wind noise analysis, but the results vary among engineers and require a lot of trial and error

Engineering Contradiction:
Improveidentification accuracy of flow field positionVSAvoidconsistency of analysis results
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent introduces a standardized quantitative parameter (pressure source density) to replace subjective engineer judgment. By calculating pressure source density at each spatial node using CFD simulation data (flow velocity, vorticity, and their correlations), the system objectively identifies flow field positions contributing to surface pressure fluctuations. This parameter-based approach ensures consistent and reproducible results across different engineers while maintaining high identification accuracy.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If engineers perform trial and error to reduce wind noise, then they can find effective solutions, but the development time and complexity increase significantly

Engineering Contradiction:
Improvewind noise reduction effectivenessVSAvoiddevelopment time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary identification of critical flow field positions using pressure source density calculation before actual wind noise reduction design. By pre-calculating which spatial nodes have high pressure source density values, the system guides engineers to focus modifications on specific vehicle components that will most effectively reduce wind noise. This preliminary analysis eliminates unnecessary trial and error iterations, significantly reducing development time while maintaining effective noise reduction outcomes.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If no standardized technique is used for identifying flow field contributions, then engineering flexibility is maintained, but measurement and detection become difficult and inconsistent

Engineering Contradiction:
Improveengineering flexibilityVSAvoidflow field contribution measurement
Core Design Contradiction:
Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent segments the flow field into discrete spatial nodes and calculates pressure source density for each node independently. This segmentation allows the system to maintain engineering flexibility by enabling analysis of specific regions of interest while providing a standardized measurement approach. The segmented node-based calculation makes flow field contribution detection systematic and reproducible, eliminating the difficulty of inconsistent measurements while preserving the ability to adapt to different analysis scenarios.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11544421B2Wind noise analyzer and wind noise analysis method
Publication Date: 2023.01.03 TOYOTA JIDOSHA KK
  • US11544421B2 patent drawing
  • US11544421B2 patent drawing
  • US11544421B2 patent drawing

AI summary

A wind noise analyzer includes: an unsteady computational fluid dynamics calculation unit configured to execute an unsteady computational fluid dynamics simulation involving moving a structure model modeled on a structure, and calculate, for each of spatial nodes, an average flow velocity and an average vorticity over a predetermined time in a flow field inside the predetermined region, and then calculate, for each of the spatial nodes, a value based on an amplitude of a turbulent flow velocity inside the predetermined region, in an angular frequency band of interest; and a pressure source density calculation unit configured to calculate, based on the average flow velocity, the average vorticity, and the value based on the amplitude of the turbulent flow velocity, a pressure source density.