Application of a 2k–p Fractional Experimental Design in Coagulation-Flocculation Processes in the Treatment of Wastewater from a Slaughterhouse

Abstract

Determining the optimal dose of coagulant required to perform flocculation is critical in most water treatment plants’ planning and operation. This study implemented a 2k–p fractional factorial design of experiments to identify the factors influencing the color decrease of wastewater from a slaughterhouse. The variables assessed were the velocity gradient, residence time, primary coagulant dosage, chlorine dosage, and coagulation adjuvant dosage. The results indicate that the primary coagulant dose and the velocity gradient significantly affect the samples’ color and that the other factors can be run at a low technical-economic level to start up the water treatment plant. The fractional factorial design allowed reducing the number of experimental points without affecting the minimum information required to identify which factors are significant in reducing the color of a wastewater sample.

Analysis of Fluid Pressure Drop through a Globe Valve using Computational Fluid Dynamics and Statistical Techniques

“…CFD tools also contribute to cost reduction in development and testing, as adjustments can be made in a computational environment to achieve the expected results, thereby improving the performance and safety required by the design. Additionally, the application of Design of Experiments (DOE) in fluid mechanics aids in the analysis of developed tests, providing a valuable assessment of fluid behavior in simulated systems and optimizing performance efficiently and effectively, as indicated in previous studies [4][5][6][7][8].…”