Response surface modeling and optimization of graphene production by the electrochemical exfoliation of graphite from waste battery (Zn/C).

Autor: Benredouane, Soumia, Elfiad, Amal, Naama, Sabrina, Moulai, Fatsah, Berrama, Tarrek, Hadjersi, Toufik
Zdroj: Reaction Kinetics, Mechanisms & Catalysis; Oct2024, Vol. 137 Issue 5, p2661-2681, 21p
Abstrakt: This study presents a novel approach for optimizing graphene yield from waste Zn/C battery graphite through response surface methodology (RSM) and a fractional factorial design. By focusing on graphite extracted from spent batteries and employing a statistically designed experiment, this work contributes to sustainable graphene production with good efficiency. We employed a fractional factorial design (25–1) to identify the influence of five key factors on graphene yield (Ye): reaction time, initial solution temperature, solution pH, bias voltage, and electrolyte concentration. A quadratic regression model was developed using response surface methodology (RSM) and validated through variance analysis (α ≥ 0.98). Subsequently, optimal conditions were determined through analytical methods, identifying the stationary point of the model and assessing the determinant value of the Hessian matrix. These optimal conditions were characterized by a reaction time (t) of 54.6 min, an initial solution temperature (Ti) of 34.5 °C, and a bias voltage (V) of 15.42 V. Under these conditions, the predicted graphene yield (Ye) was 40% ± 3%. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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