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Penetration depth of plunging liquid jets - A data driven modelling approach

机译:液体射流的穿透深度-一种数据驱动的建模方法

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In the case of impinging water jets or droplets, air entrainment processes are crucial to the casing design of hydraulic impulse turbines in the micro-hydro sector. To initiate first steps towards a precise prediction of the complex, multi-phase casing flow of impulse turbines, single aspects such as the penetration depth of impinging liquid jets have to be separated and fully understood. Existing investigations determining penetration depths are related to a very small range of flow rates and therefore show an underestimation of the penetration depth being applied to the casing flow of impulse turbines, which are generally operated at higher flow rates. For a more general description of the air entrainment process, investigations of plunging water jets within an extended flow rate range are conducted and the penetration depth is modelled using a data driven artificial neural network (ANN) approach and a non-linear regression model.
机译:在撞击水射流或水滴的情况下,空气夹带过程对于微型水力领域中的水力冲击式涡轮机的壳体设计至关重要。为了开始迈向精确预测脉冲涡轮机复杂,多相套管流量的第一步,必须分离并充分理解单个方面,例如冲击液体射流的穿透深度。确定渗透深度的现有研究与非常小的流量范围相关,因此显示出低估了应用于脉冲涡轮机的壳体流量的渗透深度,该脉冲涡轮机通常以较高的流量运行。为了更全面地描述空气夹带过程,对扩展流量范围内的水射流进行了研究,并使用数据驱动的人工神经网络(ANN)方法和非线性回归模型对渗透深度进行了建模。

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