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Title:Optimizacija konfiguratorja vzmeti za tečaje v gospodinjskih aparatih : magistrsko delo
Authors:ID Zalokar, Nejc (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Belšak, Aleš (Comentor)
ID Mirnik, Marko (Comentor)
Files:.pdf MAG_Zalokar_Nejc_2020.pdf (1,44 MB)
MD5: 056816F4E62ED08789B06A7A34D7551A
PID: 20.500.12556/dkum/b1d990b3-f561-478e-9bdd-0c7611703e76
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V magistrski nalogi bom predstavil optimizacijski problem, katerega smo do sedaj reševali s pomočjo Excel tabela, saj sem sodeloval pri razvoju nove generacije tečajev oz. kinematične komponente za kuhalne aparate. Optimizacijo smo izvedli z genetskimi algoritmi, ki so namenjeni reševanju obsežnih optimizacijskih problemov. Sama naloga je razdeljena na dva dela. V prvem delu je predstavljen tečaj, kako deluje in njegov namen. Nato sem se osredotočil na dva algoritma, ki sem ju sestavil, in rezultate, ki jih je algoritem izračunal. Drugi del naloge je bil namenjen dimenzioniranju vzmeti. Od vseh znanih vzmeti sem se poglobil v vijačne vzmeti, ki jih tudi uporabljamo. Dodal sem preračun vijačne vzmeti, ki sem ga implementiral v program. Ta nam služi za hitro oceno karakteristike vzmeti, ki smo jo določili s pomočjo genetskega algoritma. Algoritem ki sem ga izdelal dobro rešuje optimizacijski problem, in je hkrati univerzalen, kar pomeni, da nam bo dobro služil tudi pri drugih generacijah tečajev. Preračun vzmeti nam daje dobro oceno, ali bo vzmet sploh mogoče izdelati hkrati pa oceno ali bo delovanje povzročalo težave.
Keywords:kinematična komponenta, kuhalni aparati, optimizacija, vzmet, tečaj
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[N. Zalokar]
Year of publishing:2020
Number of pages:X, 56 str.
PID:20.500.12556/DKUM-78020 New window
UDC:004.896.021:62-272.24(043.2)
COBISS.SI-ID:38197507 New window
NUK URN:URN:SI:UM:DK:NH11F4RD
Publication date in DKUM:11.11.2020
Views:770
Downloads:80
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
:
ZALOKAR, Nejc, 2020, Optimizacija konfiguratorja vzmeti za tečaje v gospodinjskih aparatih : magistrsko delo [online]. Master’s thesis. Maribor : N. Zalokar. [Accessed 18 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=78020
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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:05.10.2020

Secondary language

Language:English
Title:Optimization of spring configurator for hinges in household appliances
Abstract:In my master`s thesis, I will present an optimization problem, which we were solving it with the help of an Excel program. I came to the topic while participating in the development of a new generation of kinematic components for cooking appliances. I solved the problem with genetic algorithms, that are designed to solve problems with a high number of data. Ta task itself is divided into two parts. The first part describes the hinge. How it works and its purpose. Then I focused on the two algorithms I have made and the results the algorithm calculated. The second part of the master`s thesis was dedicated to how to design a spring. Of the all known spring types, I delved into the coil springs, which we use. I also added a calculation program for springs which also serves to quickly assess the characteristics of the spring, which the algorithm has proposed. The algorithm that I have created, solved the optimization problem and it is also universal. That also means that it will serve us well in the development of other hinges. The calculation of the spring itself will give us a good assessment of whether the spring van be made at all and whether it will cause us any problems.
Keywords:kinematic component, cooking appliances, optimization, spring, hindge


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