Experimental Investigation of Large Particle Slurry Transport in Vertical Pipes With Pulsating Flow

Sotaro Masanobu, Satoru Takano, S. Kanada, M. Ono, Hiroki Sasagawa
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Abstract

For subsea mining, it is important to predict the pressure loss in oscillating pipes with pulsating flow for the safe and reliable operation of ore lifting. In the present paper, the authors focused on the pulsating internal flow in static vertical pipe and carried out slurry transport experiment to investigate the effects of flow fluctuation on the pressure loss. The alumina beads and glass beads were used as the solid particles in the experiment, and the fluctuating periods and amplitudes of pulsating water flow were varied. The time-averaged pressure losses calculated by the prediction method for the steady flow proposed in the past by the authors agreed well with the experimental ones. As for the fluctuating component of pressure loss, the calculation results using the quasi-steady expression of a mixture model were compared with the experimental data. The calculated results were different from experimental ones for alumina beads of which densities are almost same as those of the ores of Seafloor Massive Sulfides. It suggests that the expression is insufficient to predict the pressure loss for heavy solid particles. The calculated ones, however, provided those in the safety side. On the other hand, the calculated results for light solid particles such as glass beads agreed well with the experimental ones. It means that the expression would be applicable to the prediction of pressure loss for the mining of manganese nodules which are lighter than the ores of Seafloor Massive Sulfides.
大颗粒浆体在脉动流垂直管内输运的实验研究
对于海底采矿来说,脉动流振荡管道压力损失的预测对安全可靠的提矿作业至关重要。本文以静态垂直管内脉动流动为研究对象,进行了浆液输运实验,研究了流动波动对压力损失的影响。实验采用氧化铝微珠和玻璃微珠作为固体颗粒,改变了脉动水流的波动周期和幅度。作者以往提出的定常流动预测方法计算的时均压力损失与实验结果吻合较好。对于压力损失的波动分量,采用混合模型准稳态表达式的计算结果与实验数据进行了比较。对于密度与海底块状硫化物矿石基本相同的氧化铝珠,计算结果与实验结果存在差异。表明该表达式不足以预测重固体颗粒的压力损失。然而,经过计算的价格提供了安全方面的价格。另一方面,对于玻璃微珠等轻固体粒子,计算结果与实验结果吻合较好。这意味着该表达式适用于比海底块状硫化物矿石轻的锰结核开采的压力损失预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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