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Title:Optimizacija pretoka zraka v sušilni omari : magistrsko delo
Authors:ID Ojsteršek, Vid (Author)
ID Zadravec, Matej (Mentor) More about this mentor... New window
ID Kamenik, Blaž (Comentor)
ID Mencinger, Jure (Comentor)
Files:.pdf Magistrska_naloga-Vid_Ojstersek.pdf (4,45 MB, This file will be accessible after 15.10.2028)
MD5: 4D7EA7553937DB420132E529E968583A
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Magistrska naloga obravnava optimizacijo pretoka zraka v sušilni omari s toplotno črpalko. Glavni problem je neenakomerna porazdelitev zračnega toka po zadnji steni in stropu komore, kar negativno vpliva na učinkovitost in enakomernost sušenja perila. Namen raziskave je bil izboljšati tokovne razmere z nadgradnjo dveh ključnih komponent: ventilatorskega ohišja in zadnje stene, v katere so bili integrirani usmerniki zraka. Raziskava temelji na kombinaciji eksperimentalnih meritev in numeričnih simulacij (CFD). Eksperimentalno je bil pretok merjen s senzorji AccuTrac, numerične simulacije pa so bile izvedene v programu Ansys Fluent z metodo končnih volumnov in modelom turbulence k-ω SST. Rezultati obeh pristopov so pokazali, da integracija usmernikov zagotavlja bolj enakomerno porazdelitev hitrosti zraka skozi odprtine na zadnji steni in stropu. Doseženo je bilo optimalno razmerje pretoka – približno 66 % skozi zadnjo steno in 34 % skozi strop – kar izboljša kroženje zraka v komori ter poveča učinkovitost in kakovost sušenja. Delo potrjuje, da kombinacija numeričnega in eksperimentalnega pristopa omogoča učinkovito optimizacijo pretoka zraka v sušilnih napravah. Poleg tega naloga ponuja smernice za nadaljnje raziskave, kot so vključitev toplotnih izmenjevalcev v model, analiza vpliva vlage in akustičnih lastnosti ter preizkus alternativnih oblik odprtin.
Keywords:sušilna omara, optimizacija, toplotna črpalka, RDT simulacija, usmerniki
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[V. Ojsteršek]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XV, 64 f.))
PID:20.500.12556/DKUM-95655 New window
UDC:621.577:648.336(043.2)
COBISS.SI-ID:268026371 New window
Publication date in DKUM:20.11.2025
Views:232
Downloads:0
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:06.10.2025

Secondary language

Language:English
Title:Optimization of airflow in drying cabinet
Abstract:The master’s thesis addresses the optimization of airflow in a heat pump drying cabinet. The main problem is the non-uniform distribution of airflow along the rear wall and ceiling of the cabinet, which negatively affects the efficiency and uniformity of laundry drying. The aim of the research was to improve flow conditions by upgrading two key components: the fan housing and the rear wall, into which air deflectors were integrated. The study is based on a combination of experimental measurements and numerical simulations (CFD). Experimentally, airflow was measured with AccuTrac sensors, while numerical simulations were carried out in Ansys Fluent using the finite volume method and the k-ω SST turbulence model. The results of both approaches showed that the integration of deflectors ensures a more uniform distribution of air velocity through the openings on the rear wall and ceiling. An optimal flow ratio was achieved – approximately 66% through the rear wall and 34% through the ceiling – which improves air circulation in the cabinet and increases the efficiency and quality of drying. The work confirms that the combination of numerical and experimental approaches enables effective airflow optimization in drying cabinet. In addition, the thesis provides guidelines for further research, such as including heat exchangers in the model, analyzing the influence of moisture and acoustic properties, and testing alternative opening geometries.
Keywords:drying cabinet, optimization, heat pump, CFD simulation, air guides


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