Optical Instruments, Volume. 44, Issue 3, 1(2022)
Measurement of particle surface temperature distribution based on multispectral microscopic imaging
Figures & Tables(9)
Fig. 6. Surface temperature distribution of petroleum coke particles during combustion
Table 1. Predicted results by BP neural network
View tableView in ArticleTable 1. Predicted results by BP neural network
黑体炉设定值 温度/K 彩色相机测温结果 多光谱相机测温结果 温度/K 相对误差/% 温度/K 相对误差/% 1073.15 1065.25 0.74 1073.15 0.27 1123.15 1113.72 0.84 1123.15 0.24 1173.15 1182.86 0.83 1173.15 0.32 1273.15 1294.01 1.64 1273.15 0.43 1313.15 1301.68 0.87 1313.15 0.03 1373.15 1383.92 0.78 1373.15 0.08 1413.15 1419.41 0.44 1413.15 0.04 1473.15 1466.81 0.43 1473.15 0.03
Table 2. Proximate analysis of coke particle
View tableView in ArticleTable 2. Proximate analysis of coke particle
M/ % A/ % V/ % F/ % 0.71 2.03 7.99 89.27
Table 3. Ultimate analysis of coke particle
View tableView in ArticleTable 3. Ultimate analysis of coke particle
C/ % H/ % N/ % S/ % 91.63 3.46 1.68 2.78
Tools
Get Citation
Copy Citation Text
Juan YANG, Wu ZHOU, Xiaoshu CAI, Zhongjie SHEN, Haifeng LIU. Measurement of particle surface temperature distribution based on multispectral microscopic imaging[J]. Optical Instruments, 2022, 44(3): 1
Paper Information
Category: TESTING TECHNOLOGY
Received: Feb. 13, 2022
Accepted: --
Published Online: Jul. 8, 2022
The Author Email: ZHOU Wu (zhouwu@usst.edu.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20