Research Papers

In Situ Visualization Measurement of Flat Plate Ablation in High-Temperature Gas Flow

[+] Author and Article Information
Zhe Qu, Xian Wang, Yunlong Tang, Honghong Su

Department of Engineering Mechanics,
Tsinghua University,
Beijing 100084, China

Lianzhong Chen, He Gao

China Academy of Aerospace Aerodynamics,
Beijing 100074, China

Xue Feng

Department of Engineering Mechanics,
Tsinghua University,
Beijing 100084, China
e-mail: fengxue@tsinghua.edu.cn

1Corresponding author.

Contributed by the Applied Mechanics Division of ASME for publication in the JOURNAL OF APPLIED MECHANICS. Manuscript received February 5, 2018; final manuscript received March 7, 2018; published online March 30, 2018. Editor: Yonggang Huang.

J. Appl. Mech 85(6), 061006 (Mar 30, 2018) (8 pages) Paper No: JAM-18-1074; doi: 10.1115/1.4039575 History: Received February 05, 2018; Revised March 07, 2018

In this work, we develop an optoelectronic system for in situ observation and measurement in hypervelocity flows. The system has the advantages of strong radiation resistance and self-adaptive exposure time of the cameras. Thermal ablation test using flat plate thermal protection system material was carried out in an arc jet. Real-time ablation images were captured and analyzed to understand the thermal ablation mechanism. Through the modified algorithms of particle image velocity (PIV) and image feature detection, the surface recession rate and the velocity distribution of the melted droplets flowing on the sample surface were obtained. The experimental results demonstrate vast potential for using this in situ measuring technique in various engineering applications. Finally, the formation and merging of the melted droplets was analyzed based on energy theory, and the numerical simulation results showed good agreement with the actual experimental results.

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Fig. 5

Temperature change on the sample surface recorded using infrared pyrometer

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Fig. 4

(a) The on-site layout of the measurement system and (b) the mounted specimen on the specimen holder

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Fig. 6

Principle of binocular stereo vision

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Fig. 3

Principle of self-adaptive exposure control

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Fig. 2

Black body radiation intensity

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Fig. 1

Schematic showing the experimental setup of the imaging system

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Fig. 15

Simulation results of the phenolic resin droplets morphology on the surface at (a) t = 4 s, (b) t = 8 s, (c) t = 12 s, and (d) t = 14 s

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Fig. 10

Principle of PIV matching

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Fig. 11

Algorithm process for droplet velocity detection

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Fig. 12

Droplet velocity distribution on the sample surface, the unit for x-axis and y-axis is pixel (for interpretation of the references to color in this figure legend, the reader is referred to the web version of this article)

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Fig. 13

Average velocity of melted droplets as a function of time

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Fig. 14

Molten phenolic resin droplets on the surface of flat plate

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Fig. 7

Ablation depth of the flat plate ablation experiment

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Fig. 8

In situ and real-time observation of the surface evolution during the flat plate ablation

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Fig. 9

The image difference of two adjacent images after binarization and the rectangular indicates the computed area



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