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Evaluates stirring parameters for improving solid-liquid mixture quality, suggesting optimal conditions for industrial processes.
The present study investigates the optimization of stirring parameters in a solid–liquid mixing system using a full factorial experimental design (2 3 ). The effects of stirring speed, particle size, and solid concentration on mixture homogeneity were evaluated using gamma-ray densitometry. The obtained results enabled the development of a statistical model correlating the operating parameters with the system response. The developed model was successfully used to identify the optimal mixing conditions, providing a reliable basis for improving the efficiency and quality of industrial solid–liquid mixing processes.
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Bounemia et al. (2026) studied this question.
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