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Title:Sklopljeni numerični model prenosa gibalne količine, energije in snovi med procesom depozicije ledu v kondenzatorju liofilizatorja : magistrsko delo
Authors:ID Meh, Klemen (Author)
ID Zadravec, Matej (Mentor) More about this mentor... New window
ID Kamenik, Blaž (Comentor)
Files:.pdf MAG_Meh_Klemen_2025.pdf (7,82 MB)
MD5: 9D25C661027ECF9E54886A84D5D27716
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Magistrska naloga obravnava numerično modeliranje prenosa gibalne količine, energije in snovi med procesom depozicije ledu v kondenzatorju liofilizatorja. Osredotočili smo se na modeliranje robnega pogoja temperature na hladni steni kondenzatorja. Dosedanji numerični modeli so temeljili na konstantnem robnem pogoju temperaturnega profila na hladni steni kondenzatorja. V tem magistrskem delu pa smo izpeljali enačbe za izračun temperaturnega profila na hladni steni kondenzatorja in jih preizkusili na poenostavljenem modelu. Numerično smo simulirali stacionarne razmere s predpisanim robnim pogojem temperature na realnem modelu. Nato smo simulirali proces depozicije ledu v trajanju ene ure s pomočjo uporabniško definiranih funkcij pri dveh obratovalnih režimih. Ugotovili smo, da je učinkovitost kondenzatorja nekoliko nižja v primerjavi z dosedanjimi rezultati drugih raziskovalcev, dobljenih z upoštevanjem konstantnega robnega pogoja temperaturnega profila na hladni steni kondenzatorja. Razlika rezultatov med dvema različnima pristopoma pa ni izrazita. Naši rezultati so tudi skladni z ugotovitvami drugih avtorjev, ki so prav tako opazili, da je temperatura najvišja na mestu, kjer se začne hladilna tuljava, prav tako pa sta tam najintenzivnejša ponor vodne pare in depozicija ledu.
Keywords:prenosni pojavi, numerične simulacije, liofilizacija, kondenzator vodne pare, ANSYS Fluent, uporabniško definirane funkcije.
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[K. Meh]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XVII, 108 f.))
PID:20.500.12556/DKUM-91450 New window
UDC:519.6:536.42(043.2)
COBISS.SI-ID:226406915 New window
Publication date in DKUM:05.02.2025
Views:198
Downloads:55
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:23.12.2024

Secondary language

Language:English
Title:Coupled numerical model for momentum, energy and mass transfer during ice deposition in a condenser of a lyophilizer
Abstract:The master's thesis addresses the numerical modeling of momentum, energy, and mass transfer during the ice deposition process in a lyophilizer condenser. The focus is on modeling the boundary temperature condition at the condenser’s cold wall. Previous numerical models have been based on a constant temperature boundary condition at the condenser's cold wall. In this thesis, we derived equations to calculate the temperature profile at the condenser’s cold wall and tested them on a simplified model. A steady-state numerical simulation with a specified temperature boundary condition was performed on a realistic model. We then simulated the ice deposition process over one hour using user-defined functions in two operating regimes. We found that the condenser's efficiency is slightly lower compared to previous studies using a constant temperature boundary condition at the cold wall. However, the difference in results between the two approaches is not significant. Our results are also consistent with findings from other authors who observed that the temperature is highest at the start of the cooling coil, where the water vapor sink and ice deposition are most intense.
Keywords:transport phenomena, numerical simulation, lyophilization, water vapor condenser, ANSYS Fluent, user-defined functions (UDFs)


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