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April 27, 2026Journal of Materials Science Research and Reviews

Influence of Process Variables on Ilmenite Leaching in Binary Solution: Experimental Evaluation and Artificial Neural Network Modeling

C. C. Okoye O.D. Onukwuli C. F. Okey-Onyesolu

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Key Points

To evaluate how different process variables affect the leaching of ilmenite in binary solutions and to model these effects using artificial neural networks.
Conducted experimental evaluations of ilmenite leaching with varying process parameters.
Utilized artificial neural network modeling to analyze the relationship between process variables and leaching efficiency.
Demonstrated significant influence of specific process variables on leaching rates.
Achieved an optimal model fit with high accuracy in predicting leaching outcomes based on the selected parameters.

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Implication

Experimental evaluation of ilmenite leaching in binary solutions reveals effective process variable influences.

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Cite This Study

Okoye et al. (2026) studied this question.

synapsesocial.com/papers/69f44223967e944ac5565dc2 https://doi.org/10.9734/jmsrr/2026/v9i2487

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