Modelling of the Co-precipitation of Ni-Mn-Co Hydroxides

A simple mathematical model of the co-precipitation of Ni-Mn-Co hydroxides is developed and applied to investigate the effect of pH, initial concentration of ammonia in the solution, concentration of the ammonia feed, nucleation rate constant and exponent, growth rate constant and growth exponent over the model output. The model is shown to produce a correct representation of the precipitation variables, and the general trends obtained for different sets of parameters are found in agreement with results presented elsewhere. A sensitivity analysis is carried out and the sensitivity indices are calculated. It is found that pH, initial concentration of ammonia and growth rate constant are the input parameters with the most relevant effect over the model input.

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Publication Details

Journal
Systems and Control Transactions
Published
2025-06-30
DOI
https://doi.org/10.69997/sct.111575
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Modelling of the Co-precipitation of Ni-Mn-Co Hydroxides

Solomon Brown, Erik G. Resendiz-Mora
Systems and Control Transactions
Extraction and Separation Processes
article

Modelling of the Co-precipitation of Ni-Mn-Co Hydroxides

Solomon Brown, Erik G. Resendiz-Mora
article en

Abstract

A simple mathematical model of the co-precipitation of Ni-Mn-Co hydroxides is developed and applied to investigate the effect of pH, initial concentration of ammonia in the solution, concentration of the ammonia feed, nucleation rate constant and exponent, growth rate constant and growth exponent over the model output. The model is shown to produce a correct representation of the precipitation variables, and the general trends obtained for different sets of parameters are found in agreement with results presented elsewhere. A sensitivity analysis is carried out and the sensitivity indices are calculated. It is found that pH, initial concentration of ammonia and growth rate constant are the input parameters with the most relevant effect over the model input.

Systems and Control TransactionsVol. 4
University of Sheffield (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 85%
Extraction and Separation Processes
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