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Improvement of particle deposition model using random function method

机译：随机函数法改进粒子沉积模型

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Particles in the environment not only threaten people's health, but the adhesion of particles on the equipment also threatens the safe operation of the equipment and the adhesion of particles in the heat exchange field also causes a large amount of energy waste. In this paper, the transportation and deposition processes of particles with different particle sizes were studied by numerical simulation. A random function method is introduced to improve the particle deposition model in order to consider the different characteristics between clean and fouled surfaces. As an example, the particle deposition characteristics of a two-dimensional channel were simulated using the clean surface model, fouling layer model, and random function method. The results show that as the particle size and inlet velocity increase, the gap between the three models increase. In particular, in the simulation of mixed particle size, the random function method better simulates the change in deposition rate during formation of fouling layer and the composition of fouling layer. Furthermore, the growth of the fouling was accelerated by the first layer of sediments, and the first layer of the sediments usually consisted of small particles.
机译：环境中的颗粒不仅威胁到人们的健康，而且粒子对设备上的粘附性也威胁到设备的安全操作，并且热交换场中的颗粒的粘附也会导致大量的能量浪费。在本文中，通过数值模拟研究了具有不同粒度粒度的颗粒的运输和沉积过程。引入随机功能方法以改善粒子沉积模型，以考虑干净和污垢表面之间的不同特性。作为示例，使用清洁表面模型，污垢层模型和随机函数方法模拟二维通道的粒子沉积特性。结果表明，随着粒度和入口速度的增加，三个模型之间的间隙增加。特别地，在混合粒径的模拟中，随机函数方法更好地模拟形成结垢层的沉积速率的变化和结垢层的组成。此外，通过第一层沉积物加速结垢的生长，并且第一层沉积物通常由小颗粒组成。

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