CFD modeling to predict diffused date syrup yield and quality from sugar production process

Gabsi, Karim; Trigui, Maher; Helal, Ahmed Noureddine; Barrington, Suzelle; Taherian, Ali R.

doi:10.1016/j.jfoodeng.2013.04.011

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…In this study, these constant values are the Nusselt numbers, Nu o , as seen in eq. (10). These Nu o are referring to non-agitating condition that the fluid velocity or the agitator speed is equal to zero.…”

Section: Obtaining the Nusselt Functionmentioning

confidence: 99%

See 1 more Smart Citation

An approach to obtain the heat transfer coefficient of aqueous sucrose solutions in agitated boiling vessels

Özdemir

Durmaz

2015

THERM SCI

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In this study, the heat transfer mechanism under agitated pool boiling was examined experimentally. Aqueous sugar solutions were used in a centrically agitated vessel. The effects of the gap which is between the impeller edge and the flat bottom of the agitated vessel, the rotational impeller speed and impeller size were studied on the boiling heat transfer coefficient. A new Nusselt function depending on the Peclet number was suggested for the heat transfer mechanism.

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Section: Obtaining the Nusselt Functionmentioning

confidence: 99%

“…Gabsi et al [10] studied on a CFD model of date-water diffusion in agitated vessel to predict mass transfer. The model predicted the sugar mass transfer from date to water as the function of impeller speed, date: water ratio and the varieties of date.…”

Section: Introductionmentioning

confidence: 99%

An approach to obtain the heat transfer coefficient of aqueous sucrose solutions in agitated boiling vessels

Özdemir

Durmaz

2015

THERM SCI

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“…Centeno‐González et al () presented a CFD model to simulate the combustion of sugarcane bagasse in a boiler. Gabsi, Trigui, Helal, Barrington, and Taherian () conducted a simulation to predict diffused date syrup yield.…”

Section: Introductionmentioning

confidence: 99%

Optimization design of cane sugar evaporative crystallizer based on orthogonal test and computational fluid dynamics

Zhang

Meng

Wang

et al. 2020

J Food Process Engineering

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This article describes an optimization design of a sugar evaporative crystallizer using numerical simulation experiments. Computational fluid dynamics (CFD) is used to simulate the circulation flow of sugar juice in the crystallizer, and the numerical experiments are designed according to orthogonal experiment matrix. First, based on the specific working characteristics of sugar evaporative crystallizer, major factors influencing the cane sugar evaporative crystallization process were identified. Then CFD software was utilized to establish various three‐dimensional CFD models of the sugar evaporative crystallization with different factors and levels. Statistics software (IBM SPSS) is used to analyze the CFD simulation results. In order to measure circulation velocity under different conditions, physical experiments were conducted in the experiment platform in our laboratory. The circulation velocity measured under the optimal condition was increased by 128%, and the crystallization efficiency could be guaranteed. Practical Applications Computation fluid dynamics (CFD) enables studying the details within the crystallizer, making the invisible become visible. The orthogonal test replaces all tests with partial tests. The orthogonal test coupled CFD technique can hugely decrease the cost of optimization design. The application of this method will benefit the optimization design of food engineering.

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“…Since the fructose is a natural component of date, the HFS can be produced from date instead of corn. Three essential steps are present: (a) the diffusion of sugar from date pulp [3], (b) the bioconversion of glucose to fructose and (c) the separation of glucose-fructose mixture.…”

Section: Introductionmentioning

confidence: 99%

“…A simulator can be a good tool to design and scale-up of process. For the sugar diffusion step, a CFD simulator has been developed [3]. The accurate operation parameters of bioconversion process are hard to reach because inherently imperfect mixing conditions interfere with the complex kinetics and multi-step bioreaction.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Model to Predict the Bioconversion Rate of Glucose to Fructose using Escherichia coli K12 for Sugar Production from Date

Trigui¹,

Gabsi²,

Zneti³

et al. 2015

International Journal of Food Engineering

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In this study, Bioconversion process of glucose to fructose from date syrup using Escherichia coli K12 is modeled using a commercial computational fluids dynamics (CFD) code fluent FLUENT 6.3.23 [8] which we implemented a user-defined functions (UDF) to simulate the interrelationships at play between various phases. A two phases CFD model was developed using an Eulerian -Eulerian approach to calculate the fructose volume fraction produced during time. The bioconversion process was studied as function of three initial concentration of glucose (0.14, 0.242 and 0.463 g L -1 ), three induction time (60, 120 and 180 mn) and three inoculum volume (100, 120 and 150 mL). The numerical results are compared with experimental data for bioconversion rate and show good agreement (R 2 = 0.894). The optimal condition of diffusion was obtained by applying an initial concentration of glucose less than 0.2 g L -1 and induction time great than 100 minutes.

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CFD modeling to predict diffused date syrup yield and quality from sugar production process

Cited by 4 publications

References 12 publications

An approach to obtain the heat transfer coefficient of aqueous sucrose solutions in agitated boiling vessels

An approach to obtain the heat transfer coefficient of aqueous sucrose solutions in agitated boiling vessels

Optimization design of cane sugar evaporative crystallizer based on orthogonal test and computational fluid dynamics

Finite Element Model to Predict the Bioconversion Rate of Glucose to Fructose using Escherichia coli K12 for Sugar Production from Date

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