撞击流混合器流场速度时间序列的行为复杂性
Behavior Complexity Characteristics of Velocity Time Series in Impinging Stream Mixer

撞击流混合器（ISM）流场包含着丰富的复杂信息，引入复杂性理论来研究ISM速度场的混沌现象，运用近似熵算法和样本熵算法计算了该系统的行为复杂性，得出样本数据长度对近似熵和样本熵影响不大的结论。不同相似容限r下的近似熵和样本熵都表现出了较好的一致性，其中，样本熵更好一些。研究表明，撞击流反应器的噪声污染较大，可通过提高转速来增加该系统的行为复杂性大小，以达到促进微观混合的目的。
The velocity signal of the flow fields in impinging stream mixer (ISM) contains a lot of complicated information. The complexity theory was first introduced to study the chaos phenomenon of the flow field in ISM. Approximate entropy algorithm and sample entropy algorithm were used to study the behavioral complexity of the system. The approximate entropy and sample entropy were calculated under the different parameters. The approximate entropy and sample entropy have both shown good consistency under the different tolerancer, and the sample entropy is better. The study indicates that the ISM has acoustic noise pollution and could increase the behavior complexity of the system by improving the speed, so as to promote the microcosmic mixture efficiency