Research on the field on-line automatic detection of infrared thermal imager MRTD based on infrared image's gray level difference

2011 ◽  
Author(s):  
Zhibin Chen ◽  
Yuxiang Liu ◽  
Mingxi Xue ◽  
Baohua Liu ◽  
Zhangya Hou
Author(s):  
Feihong Guo ◽  
Zhaoping Zhong

AbstractBased on the improved computational fluid dynamics and discrete element method (CFD-DEM), heat transfer and two-component flow of biomass and quartz sand have been studied from experiments and numerical simulation in this paper. During experiments, the particle temperature and moving images are respectively recorded by infrared thermal imager and high speed camera. With the increase of the velocity, the mixing index (MI) and the cooling rate of the particles are rising. Due to larger heat capacity and mass, the temperature of biomass drops slower than that of quartz sand. Fictitious element method is employed to solve the incompatibility of the traditional CFD-DEM where the cylindrical biomass are considered as an aggregation of numerous fictitious sphere particles arranged in certain sequence. By the comparison of data collected by infrared thermal imager and the simulated results, it can be concluded that experimental data is basically agreement with numerical simulation results. Directly affected by inflow air (25℃), the average temperature of particles in the bed height area (h>30 mm) is about 3 degrees lower than that of the other heights. When the superficial gas velocity is larger, the fluidization is good, and the gas temperature distribution is more uniform in the whole area. On the contrary, bubbles are not easy to produce and the fluidization is restricted at lower superficial gas velocity. Gas-solid heat transfer mainly exists under the bed height of 10 mm, and decreases rapidly on fluidized bed height. The mixing index (MI) is employed to quantitatively discuss the mixing effectiveness, which first rises accelerate, then rising speed decreases, finally tends to a upper limit.


2020 ◽  
Vol 13 (1) ◽  
pp. 98-105
Author(s):  
Gaofeng Luo ◽  
Ling Shi ◽  
Ammar Oad ◽  
Liang Zong

2016 ◽  
Vol 45 (10) ◽  
pp. 1004003
Author(s):  
张晓晔 Zhang Xiaoye ◽  
徐 超 Xu Chao ◽  
何利民 He Limin ◽  
陈一鹤 Chen Yihe

2016 ◽  
Vol 45 (10) ◽  
pp. 1004003
Author(s):  
张晓晔 Zhang Xiaoye ◽  
徐 超 Xu Chao ◽  
何利民 He Limin ◽  
陈一鹤 Chen Yihe

2010 ◽  
Vol 34-35 ◽  
pp. 1810-1815
Author(s):  
An Du ◽  
Rui Na Ma ◽  
Yong Zhe Fan ◽  
Xiao Ming Cao ◽  
Shi Jie Li ◽  
...  

A spectral absorption of the ferrous ion in fluxing was investigated in this paper due to the significant effect of ferrous ion on the quality of hot-dip galvanizing production. Based on analysis of spectrophotometry, an automatic detection equipment of ferrous ions is developed according to its special characteristics. On-line measuring of ferrous ion in fluxing of the hot-dip galvanizing is realized by the micro-pump and the equipment. Results show that the lowest limit to be detected is 0.1 g/L, measuring errors are less than 0.05 g/L, the linear equations of the absorption and concentration of the ferrous ions shows a good correlation coefficient which is 0.99995 when the ferrous ions concentration is between 0.1g/L and 10g/L in fluxing.


2018 ◽  
Vol 5 (5) ◽  
pp. 172064
Author(s):  
Hesong Huang ◽  
Zhongxiang Tong ◽  
Chaozhe Wang ◽  
Biao Wang

The combustion of multi-hole pyrophoric activated metal is solid combustion and the combustion mechanism is quite complex, which is a difficult problem to be solved. Once the pyrophoric activated metal is exposed to air, the oxygen diffuses to the interior of the activated metal within plenty of holes and reacts with it, which enlarges the contact area with oxygen. Consequently, the whole combustion is vigorous and the temperature rises rapidly. To study the combustion mechanism of the chaff, the surface heat balance equation is established in this work by taking Mg as the activated metal. To solve this equation, the chaff adiabatic wall temperature distribution is computed by computational fluid dynamics in the presence of high-speed airflow. Then, the chaff surface temperature distribution is obtained by solving the heat balance equations. Finally, numerical and experimental results obtained via an infrared thermal imager are compared to demonstrate the effectiveness of the established equation.


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