In response to the accelerating demands of industrial development,the scale-up of stirred reactors has become increasingly prevalent.Multi-shaft stirred reactors have emerged as a promising solution;however,a critical...In response to the accelerating demands of industrial development,the scale-up of stirred reactors has become increasingly prevalent.Multi-shaft stirred reactors have emerged as a promising solution;however,a critical challenge remains in achieving efficient mixing while simultaneously minimizing energy consumption.Here,a novel approach based on differential rotation speeds to optimize mixing performance was proposed.Results demonstrate that a carefully configured rotation speed difference significantly enhances mixing efficiency,reducing mixing time by 17.89% and power consumption by 12.07%.This strategy not only amplifies flow field instability but also minimizes instability discrepancies,promoting a more uniform distribution of vortices across various scales.Furthermore,under this approach,the bottom impeller has the strongest impact on mixing,while the middle and lower impellers synergistically strengthen the weaker mixing regions and facilitate the redistribution of energy in the flow field.This method promotes efficient energy transfer from large-scale to small-scale vortices,ultimately improving overall mixing performance.This work offers a promising avenue for the optimal design and operation of multi-shaft stirred reactors,advancing both efficiency and energy sustainability.展开更多
由于航空发动机工作环境复杂,故障数据稀缺,且单一传感器难以全面表征中介轴承状态,导致现有诊断方法准确率较低。为此,提出了一种基于多传感器信息融合(multi-sensor information fusion,MSIF)和二维卷积神经网络(2-dimensional convol...由于航空发动机工作环境复杂,故障数据稀缺,且单一传感器难以全面表征中介轴承状态,导致现有诊断方法准确率较低。为此,提出了一种基于多传感器信息融合(multi-sensor information fusion,MSIF)和二维卷积神经网络(2-dimensional convolutional neural network,2DCNN)的航空发动机中介轴承故障诊断方法。该方法将多个传感器的时域和频域特征融合为一张RGB图像,从而更加全面地表征中介轴承状态。然后,将生成的RGB图像输入2DCNN模型完成故障诊断。在真实航空发动机试验台的轴承故障数据上的测试中,当训练集与测试集比例为1∶9的小样本条件时,部分传感器组合的诊断准确率即可达99%;比例为7∶3时所有传感器组合的准确率均达100%。此外,所提方法的诊断准确率与基础研究相比,至少提高了13%;且超越了进行对比的5种先进方法。结果表明,该方法不仅实现了航空发动机中介轴承故障的快速精准识别,还在小样本条件下展现出了卓越的诊断性能。展开更多
基金supported by the National Natural Science Foundation of China (22078030,52021004)National Key Research and Development Project (2019YFC1905802)+4 种基金Key Project of Independent Research Project of State Key Laboratory of Coal Mine Disaster Dynamics and Control (2011DA105287-zd201902)Chongqing Natural Science Foundation Innovation and Development Joint Fund Project (CSTB2022NSCQ-LZX0014)Hubei Three Gorges Laboratory Open/Innovation Fund (SK211009,SK215001)Fundamental Research Funds for Central Universities(2022CDJQY-005)this work also received funding from the China Scholarship Council。
文摘In response to the accelerating demands of industrial development,the scale-up of stirred reactors has become increasingly prevalent.Multi-shaft stirred reactors have emerged as a promising solution;however,a critical challenge remains in achieving efficient mixing while simultaneously minimizing energy consumption.Here,a novel approach based on differential rotation speeds to optimize mixing performance was proposed.Results demonstrate that a carefully configured rotation speed difference significantly enhances mixing efficiency,reducing mixing time by 17.89% and power consumption by 12.07%.This strategy not only amplifies flow field instability but also minimizes instability discrepancies,promoting a more uniform distribution of vortices across various scales.Furthermore,under this approach,the bottom impeller has the strongest impact on mixing,while the middle and lower impellers synergistically strengthen the weaker mixing regions and facilitate the redistribution of energy in the flow field.This method promotes efficient energy transfer from large-scale to small-scale vortices,ultimately improving overall mixing performance.This work offers a promising avenue for the optimal design and operation of multi-shaft stirred reactors,advancing both efficiency and energy sustainability.
