Box-Behnken 设计 - 响应面法优化感应静电喷雾参数

为了探究静电喷雾过程中多因素对荷质比的影响,采用感应荷电方式,先对4种孔径喷嘴的荷质比进行试验,选取一个荷质比变化较显著的喷嘴,然后采用单因素试验方法,分别对充电电压、喷雾压力、药液电导率3个因素进行试验,探讨各因素对荷质比的影响规律。在此基础上采用Box-Behnken设计-响应面法以TXVK-3型喷嘴的充电电压、喷雾压力、药液电导率进行3因素3水平的优化试验,确定最优参数。结果表明,在电压6.9 kV、喷雾压力0.3 MPa、药液电导率13.9 mS/cm时,平均荷质比为-0.227 mC/kg,相对误差不到2%。

Box-Behnken design-response surface method to optimize inductive electrostatic spray parameters

In order to explore the influence of many factors on charge-mass ratio in electrostatic spraying process, the charge-mass ratio of four orifice nozzles was tested by induction charge method. A nozzle with significant change of charge-mass ratio was selected, and then the charge voltage, spray pressure and conductivity of liquid medicine were improved by single factor test method. The influence of various factors on charge mass ratio was discussed. On this basis, the Box-Behnken design-response surface method was used to optimize the three-factor and three-level optimization tests of the charging voltage, spray pressure and chemical conductivity of the TXVK-3 nozzle.The results showed that when the voltage was 6.9 kV, the spray pressure was 0.3 MPa, and the conductivity was 13.9 mS/cm, the average charge-to-mass ratio was -0.227 mC/kg, and the relative error was less than 2%.