Abstract：To improve the current situation of low efficiency and long cycle of off-line sample detection of powder
classifier, an online powder classification system based on laser dry detection technology was designed and built.In
the control of powder classifier, a control platform of "spiral conveying - powder sorting - dust collecting" process
was built based on PLC industrial control technology. For the characteristics of small particle size and large particle
speed in the process of powder selection, the closed-loop control of process regulation with particle size distribution
as process feedback variable was realized by using laser dry sampling on line. According to the platform experiment,
the cycle of closed loop detection system can be reduced to 1 sec and the result of on-line powder classification
is consistent with that of traditional Marvin offline detection which is as high as 98.8%. On the basis of the accuracy
of online detection can meet the requirements, real-time data can be obtained for feedback adjustment. The
results show that the system can keep the parameters of each batch of finished product consistent on the basis of
high precision online detection and feedback adjustment which can ensure that the quality of products is more stable
and reliable.
2022, Vol. 32 
