Recession Experiments and Modeling for Carbon Surface Oxidation Processes

Author(s):  
Andrew Kurzawski ◽  
Ofodike A. Ezekoye ◽  
Joseph H. Koo ◽  
Colin Yee ◽  
Theodore Hardee

We examined numerical and experimental use of a coupled-transducer system comprised of a thermocouple temperature measurements and time of flight acoustic measurements to determine the recession rate of a carbon material. A problem in the use of ultrasonic transducers for high temperature thickness measurements is that the temperature of the specimen is not always known. The variation of the speed of sound with temperature makes this a challenging problem and the use of a limited number of temperature measurements helps to construct a temperature profile on which the acoustic time of flight measurement can be characterized. In the problem of interest, a high heat flux is directed towards the surface of a carbon based material. A temperature profile is set up in the material. Initially the heated face simply increases in temperature with no mass loss. With increasing heating and oxygen transport to the surface, the hot face begins to oxidatively erode. Temperature measurements Y (xi) are made at xi locations within the material. At the same time a time of flight measurement is made in the material. We can assume that the time of flight measurement takes place over a time period that is small relative to the time for which the spatial temperature variation evolves. As such, the time of flight measurement primarily involves a weighted spatial integration of a function of temperature. Given the temperature measurements and the time of flight measurement, we seek the recession rate or equivalently, the sample length. We develop a simple thermal model with appropriate representation of oxidation kinetics to describe the process. A simple inversion analysis is developed and tested on synthetic data to best fit the experimental data.

1981 ◽  
Vol 371 (3) ◽  
pp. 493-509 ◽  
Author(s):  
W.F.W. Schneider ◽  
F. Pühlhofer ◽  
R.P. Chestnut ◽  
C. Volant ◽  
H. Freiesleben ◽  
...  

2014 ◽  
Vol 4 (6) ◽  
pp. 1518-1525 ◽  
Author(s):  
Kasidit Toprasertpong ◽  
Naofumi Kasamatsu ◽  
Hiromasa Fujii ◽  
Tomoyuki Kada ◽  
Shigeo Asahi ◽  
...  

2017 ◽  
Vol 60 (4) ◽  
pp. 556-561 ◽  
Author(s):  
Yu. A. Satov ◽  
A. V. Shumshurov ◽  
A. A. Vasilyev ◽  
A. A. Losev ◽  
A. N. Balabaev ◽  
...  

AIP Advances ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 035006 ◽  
Author(s):  
Ruixi Jia ◽  
Qingyu Xiong ◽  
Lijie Wang ◽  
Kai Wang ◽  
Xuehua Shen ◽  
...  

2010 ◽  
Vol 19 (11) ◽  
pp. 28
Author(s):  
Seung-Woog KIM ◽  
Joohyung LEE ◽  
Young-Jin KIM ◽  
Keunwoo LEE ◽  
Sang-Hyun LEE

2019 ◽  
Vol 57 (2) ◽  
pp. 112-113 ◽  
Author(s):  
Sebastian Staacks ◽  
Simon Hütz ◽  
Heidrun Heinke ◽  
Christoph Stampfer

2015 ◽  
Vol 8 (11) ◽  
pp. 4645-4655 ◽  
Author(s):  
B. Ehard ◽  
B. Kaifler ◽  
N. Kaifler ◽  
M. Rapp

Abstract. This study evaluates commonly used methods of extracting gravity-wave-induced temperature perturbations from lidar measurements. The spectral response of these methods is characterized with the help of a synthetic data set with known temperature perturbations added to a realistic background temperature profile. The simulations are carried out with the background temperature being either constant or varying in time to evaluate the sensitivity to temperature perturbations not caused by gravity waves. The different methods are applied to lidar measurements over New Zealand, and the performance of the algorithms is evaluated. We find that the Butterworth filter performs best if gravity waves over a wide range of periods are to be extracted from lidar temperature measurements. The running mean method gives good results if only gravity waves with short periods are to be analyzed.


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