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Modeling the Batch Sedimentation of Calcium Carbonate Particles in Laboratory Experiments-A Systematic Approach.

Maria J Moura1,2, Carolina S Vertis2, Vítor Redondo3

  • 1Instituto Politécnico de Coimbra, Instituto Superior de Engenharia de Coimbra, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal.

Materials (Basel, Switzerland)
|July 14, 2023
PubMed
Summary

This study presents a numerical framework for analyzing batch sedimentation data of calcium carbonate particles. The method models settling velocity, aiding thickener and clarifier design by estimating solid flux and required unit area.

Keywords:
batch sedimentationcalcium carbonatemodel fittingparticle aggregationvelocity of settling

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Area of Science:

  • Chemical Engineering
  • Particle Technology

Background:

  • Continuous thickeners and clarifiers rely on solid flux theory for design.
  • Batch sedimentation experiments offer valuable data for process applications.

Purpose of the Study:

  • To develop a systematic numerical framework for analyzing batch sedimentation data.
  • To model the settling velocity of calcium carbonate particles.
  • To estimate solid flux and determine required equipment area for clarification.

Main Methods:

  • Numerical differentiation to estimate instantaneous settling velocity.
  • Integration of a differential equation to fit the settling velocity model.
  • Statistical indicators to assess model fit quality.

Main Results:

  • A model combining theoretical and empirical components was developed.
  • The model accounts for particle concentration and aggregation effects.
  • Obtained parameters correlate with aggregate dimensions and fractal dimensions.

Conclusions:

  • The proposed framework provides a robust method for processing batch sedimentation data.
  • Accurate settling velocity models are crucial for efficient thickener and clarifier design.
  • Understanding aggregate properties is key to predicting sedimentation behavior.