Regression model for fluid flow in a static mixer

Abstract

A regression model for simulating residence time distribution (RTD) of turbulent flows in helical static mixers is proposed and developed to predict the residence time distribution in static mixers. An efficient method is required to estimate the RTD and the sole means of achieving this is through detailed regression model. The RTD was calculated numerically by regression model. The results of the regression model, i.e. predicted RTD is presented in terms of different volumetric flow rate to illustrate the complicated flow patterns that drive the mixing process in helical static mixers. The regression model is found to fit the experimental RTD with a high degree of correlation.

Effect Of Taper Angle On Flow And Stress In Conical Shell Fluid Mixers

“…A comparison study was investigated for the performance of static mixers, which takes into account the quality of the mix as well as energy efficiency and compactness [5]. Residence time distribution was simulated by regression method for helical static mixers [6]. The simulation results were consistent with experimental results, and the model could simulate different volumetric flow rates.…”