Regression model for fluid flow in a static mixer

Authors

  • Rajamanickam Akila Department of Mathematics, Anna University, Chennai
  • Kumar Balu Department of Chemical Engineering, Anna University, Chennai

DOI:

https://doi.org/10.3329/cerb.v18i1.26218

Keywords:

Regression model, Resident time distribution, Static mixer, Tubular reactor

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.

Chemical Engineering Research Bulletin 18(2015) 23-29

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Author Biography

Rajamanickam Akila, Department of Mathematics, Anna University, Chennai



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Published

2016-01-04

How to Cite

Akila, R., & Balu, K. (2016). Regression model for fluid flow in a static mixer. Chemical Engineering Research Bulletin, 18(1), 23–29. https://doi.org/10.3329/cerb.v18i1.26218

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Articles