TY - JOUR
T1 - Experimental research on dynamic concentration distribution for combustible dust based on ultrasonic-electric hybrid detection
AU - Zhang, Yan
AU - Lou, Wenzhong
AU - Wang, Hongjun
AU - Guo, Mingru
AU - Fu, Shenghua
N1 - Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - The concentration distribution of combustible dust determines thermal intensity distribution during an explosion. Current measurements for dust concentration have their particular limitations. Targeting this, we proposed an “ultrasonic-electric” hybrid detection system and a fusion model. We deployed 12 of the ultrasonic-electric hybrid systems in orthogonal arrays to comprehensively observe the clouds. First, the ultrasonic-electric hybrid detection systems obtained concentration data in real time, and those data were calculated by fusion model. Then, the clouds and their concentrations changing with time were depicted. We analyzed those trends and found certain patterns in them. Our approach can provide a fast, accurate way to detect concentrations of dynamic and complex dust. Finally, the corresponding relationship between the dust concentration distribution and its explosive heat intensity distribution is obtained. The results show that the thermal distribution of combustible dust at a concentration of 20-120 g/m3 is proportional to the concentration. This is important for preventing dust explosions and reducing the thermal intensity of explosions.
AB - The concentration distribution of combustible dust determines thermal intensity distribution during an explosion. Current measurements for dust concentration have their particular limitations. Targeting this, we proposed an “ultrasonic-electric” hybrid detection system and a fusion model. We deployed 12 of the ultrasonic-electric hybrid systems in orthogonal arrays to comprehensively observe the clouds. First, the ultrasonic-electric hybrid detection systems obtained concentration data in real time, and those data were calculated by fusion model. Then, the clouds and their concentrations changing with time were depicted. We analyzed those trends and found certain patterns in them. Our approach can provide a fast, accurate way to detect concentrations of dynamic and complex dust. Finally, the corresponding relationship between the dust concentration distribution and its explosive heat intensity distribution is obtained. The results show that the thermal distribution of combustible dust at a concentration of 20-120 g/m3 is proportional to the concentration. This is important for preventing dust explosions and reducing the thermal intensity of explosions.
KW - Concentration detection
KW - Data fusion
KW - Explosion heat distribution
KW - Ultrasonic-electric hybrid detection
UR - http://www.scopus.com/inward/record.url?scp=85077614449&partnerID=8YFLogxK
U2 - 10.1007/s00231-019-02807-7
DO - 10.1007/s00231-019-02807-7
M3 - Article
AN - SCOPUS:85077614449
SN - 0947-7411
VL - 56
SP - 1673
EP - 1684
JO - Heat and Mass Transfer
JF - Heat and Mass Transfer
IS - 5
ER -