rotor-stator configuration produces a much steeper increase in power draw. Additionally, the stator promotes intense turbulence and energy dissipation (Schubert, 2008; Kim et al., 2023), further amplifying the observed increase in Pjs. 3.3 Effect of baffling and airflow rate on interface oscillations (Θjs) A statistical regression model was developed to evaluate the influence of the variables on Θjs. The derived model is shown in Equation 3. The Θjs model achieved an adjusted R2 of 95.1% (Table 6). Θjs = 770.2 + 261.0 Jg + 714.6 Baffling*Jg (2) Table 6 – Metrics of the Θjs regression model Indicator Value R2 (%) 96.2 R2 adjusted (%) 95.1 Standard Error (mm) 109.2 Observations 10 Table 7 presents the p-value of the Θjs model terms. Table 7 – P-values for Θjs model terms Term P-Value Constant < 0.001 Jg 0.013 Jg*Baffling < 0.001 The baffle term presented a p-value of 0.959 and was therefore excluded from the final model. This indicates that baffling alone does not have a significant overall effect on Θjs. However, its influence becomes significant at certain levels of Jg, as reflected in the strong interaction between baffling and Jg. Figure 6 – Main effects of baffling (0: Stator only, 1: Baffles only) and Jg on mean Θjs
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