4篇
您的检索式：作者名="Ruize Dong"
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| 1 | Response and stabilization of a two-stage axial flow compressor restricted by rotating inlet distortion显示文摘This paper considers effects of Rotating Inlet Distortion(RID)on a two-stage axial compressor and the stabilization effects of a casing treatment subjected to the considered RID.In multispool engines,the downstream compressor suffers a RID when the upstream fan/compressor is in rotating stall.A controlled rotating sectional screen upstream of the compressor was adopted to generate the RID in different intensities,and co-or counter spinning direction compared with the rotor.The response of the compressor to inlet distortion was interpreted as the changes of stall margin.Results show that there are two peaks for the stall margin degradation where the distortion screen rotates near 20%and 70%of the rotor’s rotational frequency,respectively.Based on the measurements taken during the pre-stall process,it is suggested that the two frequencies are associated with the eigen frequencies of the compressor.Specifically,the first is associated with a stall precursor that is suspected as an initial disturbance existing in compressor and the second is related to a spike-type stall precursor.At last,a kind of Stall Precursor-Suppressed(SPS)casing treatment was applied to enhance the compressor stability in RID conditions.The result indicates that the stall margin is improved by 6%at an average level and there is nearly no efficiency loss caused by the application of such casing treatment. | Jia LI Xu DONG Dakun SUN Ruize XU Xiaofeng SUN | 2021 | Chinese Journal of Aeronautics2021，34，9： | 2 |
| 2 | Application of Stall Warning Approach with Stall Precursor-Suppressed Casing Treatment on a Two-Stage Compressor显示文摘A stall warning approach based on aero-acoustic theory is studied in this paper. For this stall warning approach, a parameter Rc is defined to measure the periodicity of the blade-passing signal. Signal simulation is used to investigate the mechanism of the stall warning approach. The results suggest that the value of Rc is influenced by the power of the perturbations. The experiments on a two-stage compressor indicate this stall warning approach can generate a warning signal several seconds before the stall. It is demonstrated in this paper that the stall warning approach can detect the distribution and evolution of stall precursors. According to the distribution of the stall precursors, the partial stall precursor-suppressed casing treatment is applied and realized a stabilization of compressor. | XU Ruize SUN Dakun DONG Xu LI Fanyu SUN Xiaofeng LI Jia | 2019 | Journal of Thermal Science2019，28，5： | 2 |
| 3 | Blockade of Wnt signaling inhibits angiogenesis and tumor growth in hepatocellular carcinoma 显示文摘 | Hu J Dong A Fernandez Ruiz V | 2009 | Cancer Res2009，69，17： | 1 |
| 4 | Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fl uorescence and back-propagation neural networks显示文摘This study established back-propagation neural networks(BPNNs)for evaluating the freshness of bighead carp(Hypophthalmichthys nobilis)heads during chilled storage via fluorescence spectroscopy using an excitation-emission matrix(EEM).The total volatile basic nitrogen(TVB-N)and total aerobic count(TAC)of fish increased obviously during storage at 0,4,8,12,and 16°C,while sensory scores decreased with increasing storage time.The EEM fluorescence intensity was measured,and its change was correlated with the freshness indicators of the samples.Three characteristic components of EEM data were extracted by parallel factor analysis,and two freshness indicators were used to construct the EEM-BPNNs model.The results demonstrated that the relative errors of the EEM-BPNNs model for TVB-N and TAC were less than 14%.This result indicated that the EEM-BPNNs model could determine the freshness of fish in cold chains in a rapid and nondestructive way. | Ce Shi Zengtao Ji Xinting Yang Zhixin Jia Ruize Dong Ge Shi | 2022 | Journal of Future Foods2022，2，2： | 0 |
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