Optimization of alumina leaching from microcline using particle swarm optimization and response surface methodology.

ABSTRACT: Alumina has found wide application in technological and engineering fields. However, due to the environmental effects of the traditional Bayer process of production, there is a need for a more eco-friendly and cost-effective procedure. The optimization of alumina extraction from microcline in nitric acid (HNO₃) solution is considered in this work. The optimization exercise was performed with the optimization tools of response surface methodology (RSM) and particle swarm optimization (PSO). The optimum conditions predicted by RSM include 82.11 ^oC reaction temperature, 3.53 M HNO₃ concentration, 0.023 g/mL solid/liquid (S/L) ratio, 356.14 rpm stirring speed, and 99.92 min reaction time. At these conditions, about 83.21% alumina leaching rate was predicted. PS

SUBMITTER: Nnanwube IA 

PROVIDER: S-EPMC11914045 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature