Figure 3 – Impact of Jg on mean Njs for stator (0) and baffles (1) arrangements 3.2 Effect of baffling and airflow rate on the specific power draw (Pjs) A statistical regression model was developed to understand the significance of the studied variables on the specific power draw at Njs (Pjs). The derived model is shown in Equation 2. The Pjs model has an adjusted R2 of 99.91% (Table 4). Pjs = 617.1 + 1306.7 Jg - 291.5 Baffling - 77.5 Jg2 - 1048.9 Baffling*Jg (2) Table 4 – Metrics of the Pjs regression model Indicator Value R2 (%) 99.95 R2 adjusted (%) 99.91 Standard Error (W/m3) 21.1 Observations 10 Table 5 presents the p-value of the Pjs model terms. All terms were found to be statistically significant, at a 95% confidence level. Table 5 – P-values for Pjs model terms Term P-Value Constant < 0.001 Jg < 0.001 Baffling < 0.001 Jg2 0.037 Jg*Baffling < 0.001 The statistical analysis indicates that both baffle configuration and superficial gas velocity (Jg) have significant main effects on the specific power draw at Njs. Higher Jg, as well as the use of the stator, led to increased Njs values. The faster impeller speeds produced a corresponding increase in power consumption (Figure 4). This trend aligns with the observations of Tabosa
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