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Primerjava turbulentnih modelov za napovedovanje obnašanja toka v kokili pri kontinuirnem ulivanju jekla
Kunavar, Ajda (Author), Šarler, Božidar (Mentor) More about this mentor... This link opens in a new window

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Abstract
V delu je opisana zgradba numeričnega modela in rezultati simulacije vodnega modela, ki posnema tok jekla pri procesu kontinuirnega ulivanja jekla. Simulacije napovedujejo tokovne razmere v kokili, ki vplivajo na kakovost in učinkovitost tega procesa v industriji. Razvita sta geometrijski model vodnega modela kokile in 3D blok strukturirana prostorska diskretizacija. Z uporabo RANS pristopa za modeliranje turbulence ter z uporabo VOF modela za obravnavanje proste površine je izdelan tri-razsežni model. Skupaj s pravilno izbranimi računskimi parametri omogoča natančno, ponovljivo, od računske mreže neodvisno in numerično stabilno simulacijo hitrostnih in tlačnih razmer v vodnem modelu. Za modeliranje turbulence sta uporabljena modela realizacijski k-epsilon in SST k-omega. Izvedena je simulacija in analiza hitrostnih profilov in hitrostnih polj na izbranih lokacijah. Rezultati simulacij izbranih turbulentnih modelov so primerjani med seboj ter z rezultati eksperimentalnih podatkov, pridobljenih na podlagi meritev z metodo sledenja delcev. Primerjava rezultatov simulacij posameznih modelov z eksperimentom pokaže, da je k-omega model nekoliko primernejši za napovedovanje. Primerjava prav tako pokaže, da lahko z uporabo obeh turbulentnih modelov kvalitativno napovemo primarni tok v zgornjem in srednjem delu kokile. V spodnjem delu kokile pa se rezultati primarnega toka pri obeh modelih ne ujemajo povsem z eksperimentom. Čeprav k-epsilon in k-omega zadovoljivo opišeta primarni tok pa njuna uporaba ni primerna za dobro napovedovanje sekundarnega toka.

Language:Slovenian
Keywords:kontinuirno ulivanje jekla, vodni model, numerični model, k-epsilon turbulentni model, k-omega turbulentni model, validacija
Work type:Master's thesis/paper (mb22)
Tipology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Year:2020
Publisher:[A. Kunavar]
Number of pages:XXII, 56 str.
UDC:621.74:669.14:004.942(043.2)
COBISS.SI-ID:17049115 Link is opened in a new window
Views:92
Downloads:65
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Secondary language

Language:English
Title:Comparison of turbulent models for predicting the flow behavior in a mould during continuous casting of steel
Abstract:
In the thesis is the structure of the numerical model and the simulation results of a water model which imitates the flow of steel during continuous casting of steel process. The simulations predict the flow behaviour in the mould, which affects the quality and the efficiency of this process in the industry. A geometric model of mould's water model and a 3D block structured spatial discretization are developed. Using the RANS approach for modeling turbulence and the VOF model to address the free surface, a three-dimensional model is developed. Together with accurately selected computational parameters, the model enables precise, robust, independent and numerically stable simulation of velocity and pressure conditions of the water model. The realizable k-epsilon and SST k-omega models are used to model the turbulence. A simulation and analysis of velocity profiles and velocity fields at selected locations is performed. The simulation results of both turbulent models are compared with each other and with the results of the particle image velocity based experimental data. The comparison of the simulation results of the individual models with the experiment shows that the k-omega model is slightly more suitable for prediction. The comparison also shows that both turbulent models can qualitatively predict the primary flow in the upper and middle section of the mould. However, in the lower section of the mould, the results of both models do not exactly match the experiment in the primary flow. Although k-epsilon and k-omega models adequately describe primary flow, their use is unsuitable for proper predicting of the secondary flow.

Keywords:continuous casting of steel, water model, numerical model, k-epsilon turbulence model, k-omega turbulence model, validation

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