Method and system for measuring time average velocity field of combustion chamber of scramjet engine

By building a measurement system in the combustion chamber of the scram engine and combining the Gaussian hybrid model algorithm, the problem of background light interference and uneven distribution of traced particles is solved, and the accurate measurement of the time average velocity field is achieved, which improves the reliability of flow field data and the combustion chamber design optimization capability.

CN120577029AActive Publication Date: 2025-09-02AVIC SHENYANG AERODYNAMICS RES INST
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Patent Information

Application Number
CN202511081276.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-04
Publication Date
2025-09-02
Estimated Expiration
2045-08-04

AI Technical Summary

Technical Problem

In the prior art, the measurement method of the time average velocity field inside the combustion chamber of the scramjet engine has a large error in the measurement result due to problems such as background light interference and uneven distribution of traced particles, making it difficult to accurately obtain flow field data.

Method used

A measurement system is built using lasers, high-speed cameras, lenses equipped with filters, particle generators and timing signal generators. Combined with Gaussian hybrid model algorithm, the particle image speed measurement technology (PIV) and cross-correlation calculations are used to filter and eliminate noise interference to obtain the time average velocity field.

Benefits of technology

It effectively reduces noise interference, improves measurement accuracy and efficiency, and can accurately obtain the time average velocity field distribution under complex flow conditions, guiding combustion chamber optimization and fuel injection methods.

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Abstract

The invention discloses a method and a system for measuring a time average velocity field of a combustion chamber of a scramjet engine, and belongs to the technical field of average velocity field measurement. The method comprises the following steps: establishing a measurement system, matching the number of exposure frames of a high-speed camera with the number of cavities of a laser, collecting a time sequence image for pre-processing, obtaining the pre-processed time sequence image, dividing the time sequence image into grid slices for cross-correlation calculation, and obtaining a time sequence speed according to a space and pixel conversion coefficient; constructing a velocity model according to a Gaussian mixture model algorithm, and obtaining a probability matrix of a data point belonging to a correct velocity vector according to an expectation maximization algorithm; and calculating to obtain a time average velocity field according to the correct velocity vector and the error velocity vector judgment condition. The method effectively improves the efficiency and accuracy of measuring the distribution of the time average velocity field, and can be used for measuring the time average velocity field.
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