Four-hole experiment and joint diagnostic method

By using a four-hole experimental setup and a combined diagnostic method, along with PDV and an improved Asay window technique, the diagnostic challenge of micro-jetting under strong impact was solved. This enabled accurate measurement of the velocity and surface density of the micro-jetting material, improving diagnostic precision and depth of understanding.

CN116879113BActive Publication Date: 2026-06-26SOUTHWEST JIAOTONG UNIV
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Patent Information

Application Number
CN202310727327.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-19
Publication Date
2026-06-26
Estimated Expiration
2043-06-19

AI Technical Summary

Technical Problem

Existing technologies are insufficient for effectively studying the velocity and surface density of micro-jet phenomena in metallic materials under strong impact, especially in gaseous environments where the material transport process is complex and difficult to diagnose.

Method used

A four-hole experimental setup was used, combined with PDV and an improved Asay window technique for joint diagnosis. The four holes were designed to diagnose the velocity and mass of the micro-jet material. The PDV signal was processed using short-time Fourier transform, and the Asay window signal processing method was improved. By combining the conditions of momentum and mass conservation, the diagnostic accuracy was improved.

Benefits of technology

It enables accurate diagnosis of large-mass micro-jet materials, improves the signal-to-noise ratio, reduces errors, and allows for in-situ study of the velocity and surface density evolution of micro-jet materials, thus enhancing our understanding of the micro-jet phenomenon.

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Abstract

The present application relates to the technical field of aiming at small space and large mass micro-objects, based on the principle of comparison and complement, a four-hole experiment and joint diagnosis method is designed in a light gas gun loading platform, including: 1, designing a four-hole experiment device; 2, an Asaywindow signal processing method suitable for studying the mass of large mass micro-objects is proposed, compared with the traditional algorithm, the accuracy is greatly improved; 3, a PDV data inversion algorithm suitable for studying the velocity of multiple particles is proposed, compared with the traditional algorithm, the secondary velocity and noise can be filtered out, and the signal-to-noise ratio is improved. In the method, the purpose of pre-depositing metal powder is two, first, artificially controlling the mass of large mass micro-objects, second, the calculation accuracy of Asaywindow can be quantitatively evaluated. The present application diagnoses the velocity and area density of micro-objects in situ, can construct the three-dimensional micro-objects evolution mechanism, and has high scientific and engineering value.
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