Modeling and CFD-simulation of cleaning process for adhesively detaching film-like soils with respect to industrial application

Köhler, Hannes; Liebmann, V.; Golla, C.; Fröhlich, Jochen; Rüdiger, Frank

doi:10.1016/j.fbp.2021.08.002

Cited by 16 publications

(7 citation statements)

References 13 publications

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“…In an effort to model cleaning for soils that detach adhesively, Kohler et al (2021) presented a boundary condition model. Here, the hydrodynamic loads on the soil, determined via CFD, were juxtaposed against the soil's adhesive strength, which was ascertained through micromanipulation tests.…”

Section: Applications Of Cfd Models In the Cleaning Of Food‐contact S...mentioning

confidence: 99%

“…They observed nuanced differences in cleaning times, especially elongated durations post‐expansion. Meanwhile, adopting dried tomato paste as a benchmark soil, Kohler et al (2021) streamlined a time‐efficient cleaning model, marking a significant reduction in simulation times. However, the model tended to overshoot cleaning times for expansive soil mass coverages, indicating there's still room for refinement.…”

Section: Applications Of Cfd Models In the Cleaning Of Food‐contact S...mentioning

confidence: 99%

“…CFD is an interdisciplinary field that merges contemporary fluid mechanics, numerical mathematics, and computer science. It involves conducting numerical experiments, computer simulations, and analytical research to tackle a range of practical challenges (Kohler et al, 2021; Williamson et al, 2022). Over the past two decades, there has been a steady increase in publications related to CFD in the food sector, as depicted in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…Modeling the flow within a valve house, an up‐stand, and various expansions in tubes of closed processing equipment has been explored, with CFD emerging as a valuable tool (Friis & Jensen, 2002). Owing to the consistent advancements in computing resources, coupled with the ongoing refinement of simulation models and representation techniques, CFD has, in recent years, become capable of quantitatively predicting cleaning process outcomes (Joppa et al, 2017; Joppa et al, 2019; Kohler et al, 2021). Utilizing CFD allows for the formulation of foundational equations and geometric representations.…”

Section: Introductionmentioning

confidence: 99%

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Computational fluid dynamics (CFD) modeling and application for cleaning of food‐contact surfaces: A review

Chai,

Su,

et al. 2024

J Food Process Engineering

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In the food industry, ensuring clean production equipment is essential for maintaining product quality and safeguarding consumer health. For optimal geometric cleaning, it is crucial to consider the specific interactions between flow, dirt, and cleaning fluids. Computational fluid dynamics (CFD) is a powerful tool for simulating fluid flow behavior, especially in terms of momentum, mass, and energy transfer. It has been widely used to model elimination processes in food sanitation. The construction of CFD model and the cleaning of food contact surface were explored. Additionally, an overview of existing CFD studies on fouling and cleaning mechanisms was provided in this manuscript. The goal of this review is to discuss the present state of CFD modeling in cleaning soil from surfaces and to offer a valuable reference for food cleaning process.

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Section: Applications Of Cfd Models In the Cleaning Of Food‐contact S...mentioning

confidence: 99%

Section: Applications Of Cfd Models In the Cleaning Of Food‐contact S...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Computational fluid dynamics (CFD) modeling and application for cleaning of food‐contact surfaces: A review

Chai,

Su,

et al. 2024

J Food Process Engineering

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“…In practice, these cleaning mechanisms are rarely individually responsible for cleaning, but overlap or merge into each other. [ 8–10 ]…”

Section: Introductionmentioning

confidence: 99%

Polyacrylic Acid Copolymers as Adhesion‐Adapted Model Materials for Cleaning Tests

Höhne

Böhm

Eisenrauch

et al. 2022

Macro Chemistry & Physics

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For cleaning tests, which are important in many industrial processes, there are no test contaminations with which geometry‐independent homogeneous films can be produced. Polymer films can fill this gap when they are able to mimic the properties of reference contaminants. For this purpose, acrylic acid (AA) copolymers are prepared by conventional atom transfer radical copolymerization and subsequent acidolysis of the tert‐butyl acrylate (tBA) prepolymers. In this way polarity and adhesion can be adjusted by the amount of carboxy groups in the polymer. Dynamic contact angle measurements show that the advancing contact angle of acrylic acid/methyl(meth)acrylate statistical copolymer layers increase with decreasing carboxy group content. Cleaning experiments show accordingly that the amount of residual polymer of coatings made from these polymers is dependent on the absolute number of adhesive carboxy groups in the polymer. Therefore, for an adaption of the polymer layers to hydrophilic reference contaminants it is necessary to incorporate additional hydrophilic monomer components into the polymers, which lead to lower contact angles but also stronger adhesion of the layers. Hence, it is shown that the chosen polymer concept is delivering the leverages to adjust the properties of appropriate test contaminants.

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Aspects of image data preparation to extend a classification scheme for cleaning mechanisms to realistic soils

Golla,

Boddin,

Köhler

et al. 2024

Proc Appl Math and Mech

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Knowledge of the cleaning mechanism is necessary to choose a suitable model for a cleaning simulation. In the present work, an existing classification scheme for cleaning mechanisms is considered. Altough this framework is quite promising, the generation of training data constitutes a bottleneck, since the labeling was done manually and very roughly in order to supply the necessary amount of samples in a reasonable time. This, in turn, causes the scheme to be inaccurate when applied to more realistic data. The aim of the present work is to improve the preparation of training data preparation by introducing a semi‐automatic labeling procedure. The labeling procedure involves a new perspective on the data and the application of a gradient filter procedure. Furthermore, fully convolutional networks (FCNs) are employed to generalize different gradient filter. The labeling procedure is significantly faster and more consistent than manual labeling. Also, a proof of concept is provided showing that the FCNs are a suitable technique for the present classification task.

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Modeling and CFD-simulation of cleaning process for adhesively detaching film-like soils with respect to industrial application

Cited by 16 publications

References 13 publications

Computational fluid dynamics (CFD) modeling and application for cleaning of food‐contact surfaces: A review

Computational fluid dynamics (CFD) modeling and application for cleaning of food‐contact surfaces: A review

Polyacrylic Acid Copolymers as Adhesion‐Adapted Model Materials for Cleaning Tests

Aspects of image data preparation to extend a classification scheme for cleaning mechanisms to realistic soils

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