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首页> 外文期刊>American Journal of Mechanical and Industrial Engineering >Pumping Pressure Estimation Using Famous Turbulent Fluid Mechanics Equations Through Python Simulations
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Pumping Pressure Estimation Using Famous Turbulent Fluid Mechanics Equations Through Python Simulations

机译：通过Python模拟使用着名湍流流体力学方程的泵送压力估计

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摘要

One of the most important tasks when designing a pumping system is for the engineer or specialist to know the components to be used including the pumps. Knowledge about the project helps to achieve a more economical system with less risk of failure. One of these failures may result in the insertion of a pump that does not generate the proper pressure, causing the system not to function as designed. To know the pumping pressure in a system containing one pump, one long pipe and one reservoir, it is necessary to know which are the possible equations that could calculate the friction factor f more accurately to obtain the pressure. The main equation used in the turbulent regime, where Reynolds number Re (Re> 4,000), is the Colebrook equation and it is a nonlinear equation and it requires numerical programs to calculate the factor friction. Other equations are apparently simpler to employ, but are limited by the Reynolds Re number and / or the relative roughness. The purpose of this paper is to know which of the famous equations in the turbulent regime - Haaland, Blasius, Prandtl, von Karman - could be used to design a bomb when confronted with the calculations obtained by the Colebrook equation. The simulations were programmed in Python and the pumping pressure values and the error percentage were compared.
机译：设计泵系统时最重要的任务之一是用于工程师或专家知道要使用的组件包括泵。关于该项目的知识有助于实现更经济的系统，失败风险较低。其中一个故障可能导致插入不产生适当压力的泵，从而使系统不作为设计的功能。为了了解包含一个泵的系统中的泵送压力，一个长管和一个储存器，必须知道哪个是可以更准确地计算摩擦因子F以获得压力的可能等式。在湍流状态下使用的主要方程，其中雷诺数Re（Re> 4,000）是COLEBROOK方程，并且它是一个非线性方程，并且需要数值程序来计算因子摩擦。其他方程显然可以采用更简单，但受到雷诺的限制和/或相对粗糙度的限制。本文的目的是知道湍流制度中的哪些着名方程 - Haaland，Blasius，Prandtl，von Karman - 当面对由科尔布鲁克方程获得的计算时，可以用于设计炸弹。在Python中编程模拟，并比较泵送压力值和误差百分比。

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