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Chemical and Biochemical Engineering Quarterly, Vol. 39 No. 2, 2025.

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https://doi.org/10.15255/CABEQ.2025.2415

Fuzzy Inference System for Modeling the Contribution of the Sweep Mechanism in the Coagulation Process for Water Treatment

D. G. Marques orcid id orcid.org/0000-0002-3402-9202 ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil
G. Gomes ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil
J. V. L. Cardoso ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil
L. H. F. Aiello ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil
S. R. M. M. Roveda ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil
J. A. F. Roveda ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil
V. Campos ; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, SP, Brazil

Puni tekst: engleski pdf 2.804 Kb

str. 121-134

preuzimanja: 58

citiraj

Sažetak

Coagulation is a critical step in water treatment, with polyaluminum chloride being a commonly used coagulant. Its main mechanisms are charge neutralization and sweep coagulation. Minimizing sweep coagulation, when appropriate, can reduce chemical use and improve sludge management. A Fuzzy Inference System (FIS) is an effective tool for handling uncertainties and is often used for simplified process modeling. In this study, a FIS was developed to estimate the contribution of the sweep mechanism using zeta potential, insoluble aluminum content, and turbidity removal as inputs. The model used three input variables and nine rules, aiming for low computational demand. The highest estimated sweep contribution occurred at pH slightly basic and Al(s) concentration > 2 mg L⁻1 in a natural low-turbidity water sample. The FIS enabled the integration of frequent measured variables into a single numerical output estimation linked to coagulation mechanisms, supporting decision-making and enabling opportunities for automation and cost reduction.







This work is licensed under a Creative Commons Attribution 4.0 International License.

Ključne riječi

water treatment; modeling; fuzzy logic; sweep mechanism; polyaluminum chloride

Hrčak ID:

334125

URI

https://hrcak.srce.hr/334125

Datum izdavanja:

28.7.2025.

Posjeta: 171 *