Analysis of the Adsorption Capacity of Modified Materials Using a Mathematical Model

To determine the empirical connection between the input and output variables, data-based mathematical simulations were built for this study. Through the use of a computer-generated model, the operation and performance of a system, both in practice and in theory, can be investigated through a process...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeuroQuantology 2023-01, Vol.21 (4), p.160
Hauptverfasser: Kumar, Yogendra, Rubina Sultana Mohammed
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:To determine the empirical connection between the input and output variables, data-based mathematical simulations were built for this study. Through the use of a computer-generated model, the operation and performance of a system, both in practice and in theory, can be investigated through a process known as simulation. One way to learn about a system's current quirks is to run a simulation. Adsorption system performance can be optimised or predictions about an actual system can be made through the use of simulation. The removal of manganese ions from synthetic waste-water using chemically modified adsorbents was the focus of adsorption investigations conducted at a constant temperature of 25 ± 1 ºC. In the current study, a combination of Resorcinol and Filtrasorb-400 (F-400) granular activated carbon at pH 5 was employed to effectively remove volatile organic compounds (VOCs). The experimental results were utilized to build a mathematical model based on Buckingham's theorem and state?of-the-art mathematical techniques, which were then used to forecast the optimal performance of the system.
ISSN:1303-5150
DOI:10.48047/NQ.2023.21.4.NQ23016