多重プロセス型モデルを用いた多段遠心ポンプ最終段モデルのキャビテーション解析

抄録

Cavitation in fluid machinery can cause several problems such as degradation of performance, damage by erosion, structural vibration and noise. Therefore, the development of prediction methods for cavitation flow is an important research topic, and several cavitation models for CFD have been proposed. The multi-process model used in this study is a homogeneous bubbly flow model that can take account of main elementary processes in cavitation using the moment method. In addition, the model can indirectly represent information of the size distribution of bubbles. In this paper, unsteady RANS simulation using the multi-process model was carried out on final stage model of multi-stage centrifugal pump. As a result, it was possible to qualitatively simulate the change in pump suction performance under cavitation. Additionally, it was indicated that the model can represent the polydispersity of bubble in the pump. Thus, it was confirmed that the model can be applied to fluid machinery as the prediction method although the quantitative validation has been under consideration.