Simulation of dynamic characteristics for gas - solid fluidization 气固流态化动态特征的模拟
The above research results have developed the research method for gas - solid fluidized bed , deep understood the gas - solid fluidization systems and contributed to a further grasp of the flow behavior of the gas and solids and actual application of fluidized bed 上述研究结果丰富了气固流化床的研究方法,深化了对气固流化系统的认识,有助于进一步掌握流化床的气固流动行为和实际应用。
In this thesis , flow regime identification and malfunction diagnosis of fluidization were studied with fractal technology , the presented methods for both flow regime identification and malfunction diagnosis were proved of effectivity . main achievements are as following : 1 . fractal brownian motion ( fbm ) was made from gauss noise and compared with pressure fluctuation signal of gas - solid fluidization , which demonstrated the similarity between the fbm and the signal 在通过fbm (分数布朗运动)数据仿真证明了气固流化床压力波动信号与分数布朗运动是相似的基础上,提出了用分数布朗运动来模拟气固流化床压力波动信号,并采用r s分析法从信号时间序列中提取出hurst指数,通过分析信号hurst指数值对流化床流型和结块故障进行了研究。