Abstract:This paper reports on a study concerned with the numerical simulation of dough kneading that arises in the food processing industry. The flows considered are in a complex domain setting. Two dough mixers running at various rotation speeds are studied; one with a single stirrer, the other with two stirrers.Stirrers are fixed on the lid of the vessel and the motion is driven by the rotation of the outer vessel. Two different mixer orientations are considered, generating horizontal or vertical-rotating flow field… Show more
“…To the future, possible extensions to the present work lie in considering variants in rheology and three-dimensional settings (see [1,2,5,35]). The latter is important when it is necessary to consider full flow fields within the mixervessel, say under part-filled scenarios.…”
Section: Discussionmentioning
confidence: 99%
“…To compute numerical solutions in primary variables of velocity, pressure and stress, we follow equations (1)(2)(3)(4)(5)(6)(7)(8). Here, this involves a parallelised timemarching finite element algorithm.…”
Section: Parallel Numerical Methodsmentioning
confidence: 99%
“…Our earlier work in this area has lead in the direction of fully three-dimensional viscous flows [1], transient free-surface viscous flows [2], and viscoelastic flows with one and two-stirrer mixer designs [3]. See also [4], concerning the related topic of three-dimensional swirling flows in a cylindrical vessel driven by the motion of the vessel lid.…”
Complex rotational flows of non-Newtonian fluids are simulated through finite element methods. The predictions have direct relevance to dough kneading, associated with the food industry. The context is taken as two-dimensional and one of stirring material within a cylindrical vessel. Three stirrer shapes are considered, placed in eccentric location with respect to the cylinder centre. The motion is driven by the rotation of the outer vessel wall. Variation with change in rheology and change in stirrer shapes are analysed, with respect to flow kinematics, stress fields, rate-of-work and power consumed. Computations are performed for Newtonian, shear-thinning and viscoelastic fluids, at various viscosity levels to gradually approximate more realistic dough-like response. For viscoelastic fluids, Phan-Thien/Tanner constitutive models are adopted. The numerical method employed is based on a finite element semi-implicit time-stepping Taylor-Galerkin/pressure-correction scheme, posed in a cylindrical polar coordinate system. Simulations are conducted via distributed parallel processing, performed on a networked cluster of workstations, employing message passing. Parallel performance timings are compared against those obtained working in sequential mode. Ideal linear speed-up with the number of processors is observed for viscoelastic flows under this coarse-grained implementation.
“…To the future, possible extensions to the present work lie in considering variants in rheology and three-dimensional settings (see [1,2,5,35]). The latter is important when it is necessary to consider full flow fields within the mixervessel, say under part-filled scenarios.…”
Section: Discussionmentioning
confidence: 99%
“…To compute numerical solutions in primary variables of velocity, pressure and stress, we follow equations (1)(2)(3)(4)(5)(6)(7)(8). Here, this involves a parallelised timemarching finite element algorithm.…”
Section: Parallel Numerical Methodsmentioning
confidence: 99%
“…Our earlier work in this area has lead in the direction of fully three-dimensional viscous flows [1], transient free-surface viscous flows [2], and viscoelastic flows with one and two-stirrer mixer designs [3]. See also [4], concerning the related topic of three-dimensional swirling flows in a cylindrical vessel driven by the motion of the vessel lid.…”
Complex rotational flows of non-Newtonian fluids are simulated through finite element methods. The predictions have direct relevance to dough kneading, associated with the food industry. The context is taken as two-dimensional and one of stirring material within a cylindrical vessel. Three stirrer shapes are considered, placed in eccentric location with respect to the cylinder centre. The motion is driven by the rotation of the outer vessel wall. Variation with change in rheology and change in stirrer shapes are analysed, with respect to flow kinematics, stress fields, rate-of-work and power consumed. Computations are performed for Newtonian, shear-thinning and viscoelastic fluids, at various viscosity levels to gradually approximate more realistic dough-like response. For viscoelastic fluids, Phan-Thien/Tanner constitutive models are adopted. The numerical method employed is based on a finite element semi-implicit time-stepping Taylor-Galerkin/pressure-correction scheme, posed in a cylindrical polar coordinate system. Simulations are conducted via distributed parallel processing, performed on a networked cluster of workstations, employing message passing. Parallel performance timings are compared against those obtained working in sequential mode. Ideal linear speed-up with the number of processors is observed for viscoelastic flows under this coarse-grained implementation.
“…(14). The justification of discarding the term may be expected and indeed it is validated by the numerical study [20,21] that omission of the term does not cause inaccuracy, instead enhances stability of the scheme. On the other hand, preservation of the term will induce severe difficulties in the numerical solutions of Eq.…”
Section: I-cnbs Scheme For Isothermal Non-newtonian Fluid Flowmentioning
“…Traditionally mixing has been achieved by stirring and is used in food production lines in factories [15]. They make use of the baffled-imposed turbulence to provide mixing.…”
In food industry mixing of concentrates contained in capsules with liquids such as milk or water for the production of warm drinks is becoming common practice the last couple of years. This process is characterized by complicated physical phenomena: the concentrates’ viscosity is temperature dependent, the liquid is non-Newtonian and the mixing process is turbulent. The industrial objective at the end of the process is a uniform liquid end product with as little as possible left over concentrate in the capsule. The optimization of the mixing process is typically done by trial and error in laboratories, which is time consuming and expensive. Computer models can significantly reduce the manufacturing costs associated with laboratory optimization and give a better insight of the process. The objective of this paper is to create a computer simulation model that is able to capture the physical processes occurring during the production of warm drinks using finite elements. The model should be able to correctly represent the mixing of the solid concentrate with the liquid injected inside the capsule compartment. Finite element method is used to solve the flow, heat exchange and concentration problem. In the paper different shapes of the capsule and how they influence the mixing are compared and their suitability for industry according to the amount of concentrate left in the capsule at the end of the process are assessed.
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