CSBE-SCGAB

Computational fluid dynamics simulation of a turbulent multiphase flow system for optimization of clean-in-place (cip) technique for pipelines using farm milking system as a model

Authors: Dev, S, V Puri, A Demirci, R Graves
Description: Industrial processing equipment, especially in the food and pharmaceutical sector contain a number of pipelines and appropriate fittings that require periodic cleaning to ensure product quality and microbiological safety. The most common technique employed for this purpose is popularly known as Clean-In-Place (CIP). The Food and Drug Administration of the United States of America has imposed strict regulatory standards for CIP. CIP technique for any system involving pipelines is essentially a turbulent two-phase flow problem coupled with a heat transfer problem, i.e., the technique involves use of hot fluids and the cleaning effectiveness depends on the flow and temperature fields. Therefore, in this study, the two-phase slug flow problem was solved using the Phase Field Method in COMSOL Multiphysics software by coupling it with the ?-? turbulence models. Instead of directly tracking the interface between two fluids that are two different phases namely, liquid and gas, the interfacial layer is governed by a phase field variable. The surface tension force is added to the Navier-Stokes equations as a body force by multiplying the chemical potential of the system by the gradient of the phase field variable. The model simulates four effects: tracking the air-water interface in the slug, the flow field to describe the fluid dynamics of the system, the wall stresses, and the heat transfer through the stainless steel pipeline wall. A numerical study to investigate the motion of slugs through a pipeline is presented and compared with experimental results. In a commonly used dairy milking system, constituted by food grade stainless pipelines of 1.5
Keywords: multiphase flow, slug flow, numerical simulation, cip, pipelines
Technical field: technical_fields_app4
Session name: Food and bioprocess engineering
Date: 2012
Identifier: CSBE12022

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