Create Alert. Share This Paper. Figures and Tables from this paper. Figures and Tables. Citations Publications citing this paper.
Richmond , Timothy D. Scheibe , William A. Perkins , Haluk Resat. Sardi , Stavros Yanniotis. Dynamics of particle chopping in blenders and food processors Cliona M Rooney , I.
Services on Demand
Modelling the carrot thin-layer drying in a semi-industrial continuous band dryer. Computational Fluid Dynamics in Food Processing. Edited By Da-Wen Sun. Edition 2nd Edition.
First Published Imprint CRC Press. Pages pages. Export Citation. Get Citation. Sun, D.
Computational fluid dynamics evaluation of liquid food thermal process in a brick shaped package
With Giovanni Cortella. View abstract. In fluid applications, these values are then used to visualise the fluid flow fields at different locations inside apparatus like heat exchangers, pipes and mixing tanks. EG: Why use it within food?
Computational Fluid Dynamics in Food Processing
DA: Given the importance of mixing ingredients during food processing, Tetra Pak applies CFD to simulate precisely what happens in a mixer, virtually. By running simulations of what happens inside a mixer, we can run virtual experiments quickly with the same results as physical experiments. And so, reducing the need for physical experiments in the design phase, which not only broadens the range of testing opportunities, it also reduces the chances of issues arising when mixers are installed at production sites.
Ultimately, CFD ensures the final design and configuration of a mixer are optimised for the specific requirements and applications the customer is looking for. This means we are confident that the mixers we design will always give the desired results for our customers. Furthermore, it is faster and cheaper to vary the process parameters in computer simulations than it would be to stop on-going production and run physical tests.
We have seen that using CFD can reduce testing time by up to half a year. In addition, the end design is optimised and the mixer requires less power, reducing the cost of ownership for our customers Thirdly, computational simulations provide us with detailed information that contributes to our understanding of the mixing process.
Important process parameters are identified and can be improved. The result is a rapid, reliable mixing process that is, most importantly, adapted to produce a product of the desired quality. Food manufacturers, and consumers, insist on a perfect product every time. To achieve this, it is important to stay in complete control of every aspect of food production from beginning to end. Due to the application of CFD at Tetra Pak, customers can be confident that the processing equipment will be optimal from a fluid flow perspective, as well as access to knowledge on mixers and how to scale up.
Enhancing Student Learning in Food Engineering Using Computational Fluid Dynamics Simulations
DA: We also use CFD to investigate other processing components such as heat exchangers, spray dryers, ice cream and flash vessels. DA: CFD is an effective way to evaluate and understand many different product types, however for some it is particularly crucial. For example, water behaves in a relatively straight-forward way, but highly viscous fluids like tomato products and cream cheese, which are more difficult to mix, require different simulation approaches.