Hydrodynamics and residence time distribution of fluid elements are key parameters to characterize the performance of stirred vessel. They are governed by geometric and operating parameters of the stirred vessel. In the present work, performance of the stirred vessel is studied using computational fluid dynamics (CFD). The flow field and associated solid suspension characteristics are predicted using the Euler-Granular approach. The draft tube baffle configuration with three inner baffles and six outer baffles is introduced to enhance the performance of the stirred vessel. The chaotic mixing among fluid elements is obtained by tracking particles in the flow domain through the Lagrangian way by solving Newton's 2nd law. This is qualitatively analyzed using Poincaré map and quantitatively evaluated using Shannon entropy to characterize the extent of chaotic mixing in stirred vessel. The performance of stirred vessel is further investigated through stimulus-response tracer techniques (Residence time distribution, RTD) to detect design flaws such as by-pass and dead zones of a stirred vessel. This is analyzed for a wide range of operating parameters. The RTD data is evaluated using two-parameter model to quantify non-idealities and to find an optimum outlet location in a stirred vessel. Further, gas is dispersed into the flow domain to reduce the extent of the non-ideal parameters, accordingly an optimum gas injection point is identified that supports the design of stirred vessel.
Hydrodynamics and residence time distribution of fluid elements are key parameters to characterize the performance of stirred vessel. They are governed by geometric and operating parameters of the stirred vessel. In the present work, performance of the stirred vessel is studied using computational fluid dynamics (CFD). The flow field and associated solid suspension characteristics are predicted using the Euler-Granular approach. The draft tube baffle configuration with three inner baffles and six outer baffles is introduced to enhance the performance of the stirred vessel. The chaotic mixing among fluid elements is obtained by tracking particles in the flow domain through the Lagrangian way by solving Newton's 2nd law. This is qualitatively analyzed using Poincaré map and quantitatively evaluated using Shannon entropy to characterize the extent of chaotic mixing in stirred vessel. The performance of stirred vessel is further investigated through stimulus-response tracer techniques (Residence time distribution, RTD) to detect design flaws such as by-pass and dead zones of a stirred vessel. This is analyzed for a wide range of operating parameters. The RTD data is evaluated using two-parameter model to quantify non-idealities and to find an optimum outlet location in a stirred vessel. Further, gas is dispersed into the flow domain to reduce the extent of the non-ideal parameters, accordingly an optimum gas injection point is identified that supports the design of stirred vessel.
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