A Far Infrared Thermal Imager for Occupant Size and Position Sensing

2004 ◽  
Author(s):  
Brian Johnson ◽  
Tej Kaushal
Keyword(s):  
Far Infrared ◽  
Thermal Imager ◽  
Position Sensing ◽  
Infrared Thermal Imager

CFD-DEM Numerical Simulation and Experimental Validation of Heat Transfer and Two-Component Flow in Fluidized Bed

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Feihong Guo ◽  
Zhaoping Zhong
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Fluidized Bed ◽  
Quartz Sand ◽  
Thermal Imager ◽  
Gas Velocity ◽  
Bed Height ◽  
Two Component ◽  
Superficial Gas Velocity ◽  
Infrared Thermal Imager

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.

Temperature field of body surface measurement by uncooled infrared thermal imager and error correction

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
Keyword(s):  
Temperature Field ◽  
Error Correction ◽  
Body Surface ◽  
Surface Measurement ◽  
Thermal Imager ◽  
Infrared Thermal Imager

Temperature field of body surface measurement by uncooled infrared thermal imager and error correction

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
Keyword(s):  
Temperature Field ◽  
Error Correction ◽  
Body Surface ◽  
Surface Measurement ◽  
Thermal Imager ◽  
Infrared Thermal Imager

scholarly journals Numerical and experimental study of pyrophoric activated metal Mg surface combustion characteristics

2018 ◽  
Vol 5 (5) ◽  
pp. 172064
Author(s):  
Hesong Huang ◽  
Zhongxiang Tong ◽  
Chaozhe Wang ◽  
Biao Wang
Keyword(s):  
Temperature Distribution ◽  
Heat Balance ◽  
High Speed ◽  
Difficult Problem ◽  
Combustion Mechanism ◽  
Thermal Imager ◽  
Balance Equations ◽  
Adiabatic Wall ◽  
The Heat Balance ◽  
Infrared Thermal Imager

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.

Design of imaging evaluation system for infrared thermal imager

2019 ◽  
Author(s):  
Zhi-qiang ZHANG ◽  
Ping WANG ◽  
Xu-dong YU ◽  
Yu-mei ZHOU ◽  
Ting LI
Keyword(s):  
Evaluation System ◽  
Thermal Imager ◽  
Imaging Evaluation ◽  
Infrared Thermal Imager

Research on Portable Field-Testing Device of Infrared Thermal Imager Performance

2013 ◽  
Vol 823 ◽  
pp. 354-357
Author(s):  
Xiao Dan Gao
Keyword(s):  
Performance Test ◽  
Low Cost ◽  
Performance Testing ◽  
Field Testing ◽  
Infrared Light ◽  
Optical Parameters ◽  
Thermal Imager ◽  
Testing Device ◽  
Temperature Feedback ◽  
Infrared Thermal Imager

Performance test of infrared thermal imager is very significant for its working life and field maintenance, but available test equipment is huge volume, strict requirements for environment and user, high cost in use. According to the deficiency of field testing of infrared thermal imager performance, the method was put forward that using high precise temperature feedback controlled thermoelectric cooling module to instead expensive blackbody furnace. The techniques were adopted in the method such as infrared light signals simulation, optical-electric signals auto-detecting, image processing and the fusion of multi-detecting signals. The performance testing device of infrared thermal imager with low cost, convenient to field testing and maintenance was designed, the design broke the traditional model that the test of infrared thermal imager must be under the given condition, and the testing of electric and optical parameters should be separated. Keywords:infrared thermal imager; performance test; simulating infrared target; temperature feedback control

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