The fluctuation of fouling data, a well-known fouling phenomenon, was recognized in applications three decades ago, but it had not yet been well understood. Of specific interest is long term, combined precipitation and particulate fouling in cooling tower systems. Fouling data collected in seven 15.54 mm I.D. copper, helically ribbed tubes at water velocity (1.07 m/s) at practical conditions shows an oscillatory behavior. In order to observe it, a water temperature difference of 3.0 °C, or greater, was needed for adequate accuracy based on an uncertainty analysis. Oscillatory model was used to analyze the data. The frequencies of the fluctuation are the same for the seven tested tube geometries. A series of semi-theoretical correlations of fluctuation of the long-term cooling tower water fouling data were developed. It was found that there are two ranges of amplitudes of the fluctuation based on internal parameters: linear range and non-linear range.
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机译：结垢数据的波动（一种众所周知的结垢现象）已在三十年前的应用中得到了认可，但尚未得到很好的理解。特别令人关注的是冷却塔系统中的长期沉淀和颗粒结垢。在七个15.54毫米内径中收集的结垢数据铜，螺旋肋管在实际条件下的水速（1.07 m / s）下表现出振荡行为。为了进行观察，基于不确定性分析，为了达到足够的精度，需要水温差为3.0°C或更高。振荡模型用于分析数据。对于七个测试管的几何形状，波动的频率是相同的。建立了长期冷却塔水垢数据波动的一系列半理论关联。根据内部参数，发现波动幅度有两个范围：线性范围和非线性范围。
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