Application of computational fluid dynamics simulations in food industry

Szpicer, Arkadiusz; Bińkowska, Weronika; Wojtasik‐Kalinowska, Iwona; Salih, Salih Mustafa; Półtorak, Andrzej

doi:10.1007/s00217-023-04231-y

Cited by 16 publications

(4 citation statements)

References 130 publications

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“…Innovative approaches based on computational engineering methods, especially Computational Fluid Dynamics (CFD), are revolutionizing research on protein denaturation in food. CFD is an indispensable tool for modeling heat, mass flow, and chemical reactions during thermal processes [20,21]. This method allows precise simulation of conditions during the thermal processing of goose meat, providing crucial information on how environmental factors affect protein denaturation at the molecular level [22].…”

Section: Introductionmentioning

confidence: 99%

Innovative Implementation of Computational Fluid Dynamics in Proteins Denaturation Process Prediction in Goose Breast Meat and Heat Treatment Processes Optimization

Szpicer,

Bińkowska,

Stelmasiak

et al. 2024

Applied Sciences

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This study aimed to calculate the optimal thermal processing parameters for goose meat using CFD simulation. CFD provides a precise determination of heat treatment conditions by predicting protein denaturation and mass loss, leading to higher quality and improved sensory experience and, thus, acceptance of products. Accurate calculation of these conditions reduces energy losses and enhances process efficiency in the food industry. This study focused on the prediction of protein denaturation and cooking loss in goose breast meat during roasting. Specific CFD techniques, including conjugate heat transfer and phase change models, were utilized to ensure accuracy in protein denaturation prediction. These models accounted for variations in meat composition, such as fat and water content across different samples, which improved the accuracy of the predictions. Optimal conditions were determined using a mathematical model. These conditions were 164.65 °C, 63.58% humidity, and a fan rotation of 16.59 rpm for 2000 s. The myosin, collagen, and actin denaturation levels, as well as cooking loss, closely matched predicted values. The findings show that CFD is a valuable method for evaluating protein denaturation and cooking loss in goose breast meat, potentially improving product quality and consistency in gastronomy and the meat industry. This innovative optimization method enhances food production efficiency and elevates sensory characteristics, physicochemical properties, and nutritional value, contributing to consumer satisfaction and market competitiveness. The model proposed in this paper can be adapted to predict denaturation in other types of meat or food products with necessary modifications, offering broad applicability. Potential limitations of using CFD in protein denaturation prediction in complex food matrices include the need for detailed compositional data and computational resources, which can be addressed in future research.

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Section: Introductionmentioning

confidence: 99%

Innovative Implementation of Computational Fluid Dynamics in Proteins Denaturation Process Prediction in Goose Breast Meat and Heat Treatment Processes Optimization

Szpicer,

Bińkowska,

Stelmasiak

et al. 2024

Applied Sciences

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“…Recent advances in computing power, with powerful graphics and interactive 3D manipulation of models, have made creating a computational fluid dynamics (CFD) model and analysing results much less labourintensive, reducing time and cost [13,14]. Advanced solvers contain algorithms that enable robust flow field solutions in a reasonable time.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical study on the influence of flow passages in centrifugal fan using computational fluid dynamics

et al. 2023

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In this work, three actual impeller geometries of identical size, with backward, radial, and forward flow passages in the same volute casing, are experimentally analysed and numerically simulated to understand the flow physics characteristics and the performance mapping under different flowrate conditions. A grid independence test is carried out for the whole computational domain to capture complex flow behaviour inside blades. The three-dimensional numerical analysis is performed under steady flow conditions, and for a rotational domain, a moving reference frame approach (frozen rotor method) is used. The results obtained from experimental and simulated cases for backward, radial, and forward curved centrifugal fans with varying mass flowrates shows that static pressure and total pressure are increased with an increase in rotation speed and the static pressure gradient is higher in forward curved blades than in backward and radial bladed centrifugal fans. A blade's low and high-pressure regions along the suction and pressure sides are visualised by numerical analysis. The degree of recirculation within blade passages, flow reversal and vortex formation in volute and tongue regions is observed to be different in all three types of flow passages, which clearly describes its influence on the performance characteristics of centrifugal fans.

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“…The method used is Computational Fluid Dynamics (CFD) with an analysis of pressure and the material transport flow rate of Crude Oil. The advantage of CFD simulation is the speed of time to obtain research data (Hu et al, 2022;Mrope et al, 2021;Szpicer et al, 2023). In the oil industry, the number of blades on the impeller commonly used in centrifugal pumps ranges from 12 to 16.…”

Section: Introductionmentioning

confidence: 99%

Optimization of impeller blade number in centrifugal pump for crude oil using Solidworks Flow Simulation

Aldio,

Waskito,

Purwantono

et al. 2023

jerel

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Every type of fluid to be transferred has specific characteristics such as viscosity, density, friction, and others, thus requiring the selection of the appropriate pump type. One of the factors influencing the performance of a centrifugal pump is the number of blades used. This research aims to explore the influence of the number of blades on a centrifugal pump used as a fluid transfer device for crude oil. The study was conducted using the Computational Fluid Dynamics (CFD) method. The analyzed variations of the number of blades included three options, namely centrifugal pumps with 12, 14, and 16 blades. Based on the simulation results conducted using Solidworks Research License 2021-2022 software, it was found that the centrifugal pump with 12 blades exhibited the most optimal performance. The simulation results show uniform flow and pressure around the mid-span plane of the 12-blade impeller. In the case of the 12-blade impeller, the flow thrown by the centrifugal force is concentrated in the middle of the channel towards the outlet, resulting in higher pressure and volume flow rates.

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Application of computational fluid dynamics simulations in food industry

Cited by 16 publications

References 130 publications

Innovative Implementation of Computational Fluid Dynamics in Proteins Denaturation Process Prediction in Goose Breast Meat and Heat Treatment Processes Optimization

Innovative Implementation of Computational Fluid Dynamics in Proteins Denaturation Process Prediction in Goose Breast Meat and Heat Treatment Processes Optimization

Experimental and numerical study on the influence of flow passages in centrifugal fan using computational fluid dynamics

Optimization of impeller blade number in centrifugal pump for crude oil using Solidworks Flow Simulation

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