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Computational simulation of flocculent sedimentation based on experimental results

机译:基于实验结果的絮凝沉降计算模拟

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Computerised interpolation algorithms as well as the empirical model for analysing the flocculent settling data were developed. A mechanistic semi-empirical model developed from fundamental physical principles of a falling particle in a viscous fluid was tested against actual flocculation column data. The accuracy of the mechanistic model was evaluated using the sum of the squared errors between the interpolated values (real values) and the model predictions. Its fitting capabilities were compared with ?zer's model using nine flocculent data sets of which four were obtained from literature and the rest were actual data from the performed experiments. The developed model consistently simulated the flocculation behaviour of particles in settling columns better than ?zer's model in eight of the nine data sets considered. It is recommended that the model's performance be further compared with other models like the Rule based and San's model. The errors due to the use of interpolated values when determining the performance of the empirical models need to be investigated. Furthermore, a three-way rather than two-way interpolation should now be achievable using the interpolation algorithm developed in this study thereby reducing the effects of interpolation bias. The above work opens the way to full automation of design of flocculation sedimentation basins and other gravitational particle separation systems which at present are designed manually and are susceptible to a wide range of human and random errors.
机译:建立了计算机插值算法和絮凝沉降数据的经验模型。根据实际的絮凝柱数据测试了从粘性流体中下落颗粒的基本物理原理发展而来的机械半经验模型。使用内插值(实际值)和模型预测值之间的平方误差之和来评估机械模型的准确性。使用九个絮凝数据集将其拟合能力与菲泽模型进行了比较,其中四个是从文献中获得的,其余是来自进行实验的实际数据。在所考虑的九个数据集中的八个数据集中,开发的模型能够始终如一地模拟沉降塔中颗粒的絮凝行为,优于菲泽模型。建议将模型的性能与其他模型(例如基于规则的模型和San的模型)进行进一步比较。在确定经验模型的性能时,需要研究由于使用插值导致的误差。此外,使用本研究中开发的插值算法现在应该可以实现三向而不是两步插值,从而减少了插值偏差的影响。上述工作为絮凝沉淀池和其他重力颗粒分离系统的完全自动化设计开辟了道路,目前这些絮凝沉淀池和其他重力颗粒分离系统是手动设计的,容易受到广泛的人为和随机误差的影响。

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