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Thickener modelling - from laboratory experiments to full-scale prediction of what comes out the bottom and how fast

机译:增稠剂建模 - 从实验室实验到满量程预测,从底部出现的东西以及有多快

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Predicting full-scale thickener performance, including the solids flux and concentration delivered from a thickener underflow based solely on laboratory-scale experiments, has long been the holy grail of thickener design and operation. A number of researchers have developed both thickener models and laboratory characterisation techniques to measure sedimentation and compressional properties of flocculated suspensions. Combining these to produce predictions of actual performance generally results in an under-estimation of the thickener solids flux, often by a factor of between 10 and 20. Consequently, a range of empirical methods and industry scalars has been developed to get around this discrepancy.Analysis of the reasons for the discrepancy shows that changes in aggregate structure in shear, due to inter-aggregate buffeting and shear induced by collisions with surfaces and rakes, causes the flocculated aggregate to change from a fractal to a denser non-fractal object as it progresses through the thickener. These changes are shear rate and solids concentration dependent and as such, very difficult to reproduce in the laboratory and then incorporate into thickener models.A method to quantify the time and shear rate dependent changes in aggregate structure is now available and a model has been developed that allows incorporation of this effect into modelling. The change in aggregate behaviour is incorporated through a shear rate dependent densification rate and final extent of aggregate densification. The latter parameter helps to define an upper limit in solids flux behaviour for a given solids underflow concentration. Using the new information, thickener models now predict a range of underflow solids flux outcomes between the upper (densified aggregate) and lower (undensified aggregate) limit for a particular underflow solids concentration, depending on the operational conditions. The difference in underflow solids flux between these two limits is significant and the actual outcome depends on the shear rate and time of shear, as well as total solids residence time in the thickener.The data indicate that for non-segregating flocculated suspensions, operational conditions that produce the optimum thickener underflow solids flux for a given flocculation condition can now be explored quantitatively without resorting to extensive pilot trials.
机译:预测全规模增稠剂性能,包括仅基于实验室规模实验的增稠剂溢流量输送的固体通量和浓度,长期以来一直是增稠剂设计和操作的圣杯。许多研究人员开发了增稠剂模型和实验室表征技术,以测量絮凝悬浮液的沉降和压缩性能。组合这些以产生实际性能的预测通常导致增稠剂固体通量的估计,通常在10到20的因素之间。因此,已经开发了一系列经验方法和行业标量来解决这种差异。差异的原因分析表明,由于与表面和耙子的碰撞引起的剪切和剪切引起的剪切骨料结构的变化导致絮凝的聚集体从分形到更密集的非分形物体变化通过增稠剂进行。这些变化是依赖性的剪切速率和固体浓度,并且在实验室中非常难以再现,然后将其掺入增稠剂模型中。现在可获得汇总结构的时间和剪切速率相关变化的方法,并开发了模型这允许将此效果纳入建模中。通过剪切速率依赖性致密化率和总致密化的最终程度结合了总体行为的变化。后者参数有助于为给定的固体溢出浓度定义固体通量行为的上限。使用新信息,增稠剂模型现在预测特定下溢固体浓度的上部(致密化骨料)和更低(未经构化的聚集体)极限之间的底部溢出固体通量结果,这取决于操作条件。这两个限制之间的下溢固体通量的差异是显着的,并且实际结果取决于剪切速率和剪切时间,以及增稠剂中的总固体停留时间。数据表明,对于非分离絮凝悬浮液,操作条件产生给定絮凝条件的最佳增稠剂底部流出固体通量,现在可以定量探讨,而无需广泛的试验试验。

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