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采用Fluent软件对OB-84型轴流风机动叶安装角异常情况进行数值模拟,并用熵产理论研究和分析了风机动叶安装角异常前后的熵产分布特征.结果表明:湍流耗散为风机熵产的主要来源,动叶区和导叶区的熵产率较高,集流器区和扩压区的熵产率很小,但动叶区、导叶区和扩压区的总熵产处于同一数量级.叶片偏离程度对风机熵产有不同程度的影响,除异常叶片安装角偏离值Δβ=±10°外,风机内的熵产均高于正常值,且熵产随Δβ增大而提高,但当Δβ>30°时,Δβ对风机内熵产的影响有所减弱;同向偏离时,在异常叶片下游形成影响多流道的高熵产带,而反向偏离时的高熵产率区仅呈现零散分布;在相同偏离程度下,同向偏离对熵产的影响大于反向偏离.
The Fluent software is used to simulate the anomalous installation angle of the blade of the OB-84 axial fan and the entropy production theory is used to study and analyze the entropy production distribution before and after the installation angle of the fan rotor is abnormal.The results show that the turbulent dissipation is the fan Entropy yield is the main source of entropy production, and the entropy yield is higher in the rotor blade area and the guide vane area. The entropy yield in the collector area and the diffuser area is very small. However, the total entropy of the rotor area, guide vane area and diffuser area With the same order of magnitude.The leaf deviations had different degrees of entropy production to the fan, except for the deviating angle Δβ = ± 10 °, the entropy production in the fan was higher than normal, and the entropy production increased with Δβ But when Δβ> 30 °, the influence of Δβ on the entropy generation in the fan is weakened. When the same direction is deviated, a high entropy producing zone is formed downstream of the anomalous blade, The area of entropy yield shows only scattered distribution. Under the same degree of deviation, the influence of co-deviation on entropy production is greater than the reverse deviation.