Abstract
AbstractIt is well known that residence time distribution (RTD) is a significant parameter in material processing, therefore, its accurate prediction is essential. From a numerical standpoint, one of the most widespread simulation methodologies is based on the combination of computational fluid dynamics (CFD) and particle tracking techniques. Within this framework, the novelty of this contribution is that the RTD is built upon a minimization of a least square criterion ensuring an accurate prediction of the mean residence time, as well as a smooth RTD function. In addition, a computational procedure is developed to estimate the thickness of the near‐wall region, which must be free of particles otherwise the RTD predictions will diverge. The relevance of the proposed method is assessed on analytical flow test cases and the Kenics static mixer for both Newtonian and non‐Newtonian fluids. Good agreement is found between numerical and corresponding theoretical mean residence times. magnified image
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
