Determining the settling properties of flocculated suspensions is crucial in the design and optimization of thickeners.A novel method was proposed to predict the settling parameters of the Vesilind function.Such a met...Determining the settling properties of flocculated suspensions is crucial in the design and optimization of thickeners.A novel method was proposed to predict the settling parameters of the Vesilind function.Such a method determines the maximum settling velocity by minimizing the difference between the predicted and measured batch settling curves.The performance of the method was compared with those of the differential evolution(DE)and Nelder-Mead(NM)algorithms.The results indicate that the method predicts the settling parameters with higher accuracy than the DE and NM algorithms do.Finally,the thickening process of flocculated tailings suspensions in batch settling tests was simulated.An increase in flocculant dosage causes an increase in compressive yield stress,leading to aggregate rarefaction.Consequently,the underflow concentration decreases at high solid fractions of suspensions as flocculant dosage increases.展开更多
基金supported by the Natural Science Research Project of Anhui Educational Committee(grant No.2023AH051212)Anhui Provincial Natural Science Foundation(grant No.2408085QE174)+2 种基金Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project(grant No.2024ZD1003705)Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology(grant No.2022yjrc59)and Open Project Program of Anhui Engineering Research Center of Exploitation and Utilization of Closed/Abandoned Mine Resources(grant No.EUCMR202208).
文摘Determining the settling properties of flocculated suspensions is crucial in the design and optimization of thickeners.A novel method was proposed to predict the settling parameters of the Vesilind function.Such a method determines the maximum settling velocity by minimizing the difference between the predicted and measured batch settling curves.The performance of the method was compared with those of the differential evolution(DE)and Nelder-Mead(NM)algorithms.The results indicate that the method predicts the settling parameters with higher accuracy than the DE and NM algorithms do.Finally,the thickening process of flocculated tailings suspensions in batch settling tests was simulated.An increase in flocculant dosage causes an increase in compressive yield stress,leading to aggregate rarefaction.Consequently,the underflow concentration decreases at high solid fractions of suspensions as flocculant dosage increases.
