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Title:Določitev materialnih parametrov zaprto-celične pene pri tlačni obremenitvi
Authors:ID Vodišek, Luka (Author)
ID Vesenjak, Matej (Mentor) More about this mentor... New window
ID Brezočnik, Miran (Comentor)
ID Borovinšek, Matej (Comentor)
Files:.pdf MAG_Vodisek_Luka_2017.pdf (2,12 MB)
MD5: BCDFAB0BF54ECBEF9930457E547404C9
PID: 20.500.12556/dkum/5b65847a-1c1c-4b2d-8154-551c993da933
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Zaradi uporabnih lastnosti kovinskih pen jih inženirji vse pogosteje vključujejo v nove izdelke. Njihove materialne lastnosti lahko navdano določijo z eksperimentalnimi preizkusi, saj so matematični modeli pen na podlagi enostavnih standardnih testov skoraj nedoločljivi. V tej nalogi se bomo seznanili z drugim načinom, kjer bomo materialne lastnosti določili tako, da bomo dva različna eksperimenta poskušali ponoviti s trdnostno analizo po metodi končnih elementov. Okvirne vrednosti so dane, vendar pa bi iskanje rešitev po vseh spremenljivkah trajalo predolgo, če bi jih spreminjali ročno, zato si bomo pomagali z genetskimi algoritmi in programom, ki to spreminja sam, oziroma se uči iz prejšnjih rešitev in išče boljše. Ker smo obravnavali dva eksperimenta, bomo tudi rešitve ocenjevali po dveh kriterijih, zato bomo potrebovali Paretto fronte, ki jih bomo dobili s pomočjo algoritma NSGA II. Metoda, po kateri smo v tej nalogi iskali najboljše rešitve, se je izkazala za dobro, predvsem obetavna je optimizacija po več parametrih. Ker ima še veliko možnosti za nadgradnjo, lahko vključimo večje število spremenljivk in večje število parametrov optimiziranja z dodajanjem različnih enostavnih preizkusov. Za komercialno uporabo bi bilo treba raziskati, kateri preizkusi dajejo najboljše rezultate. Obravnavani način določanja materialnih lastnosti s pomočjo eksperimentalnih poizkusov ter ponovitvijo v simulacijskem okolju ima velik potencial, ki se lahko razširi tudi na druge materiale, ne le na kovinske pene.
Keywords:aluminijeva zlitina, kovinska pena, materialni model, ABAQUS, genetski algoritem, NSGA II
Place of publishing:Maribor
Publisher:[L. Vodišek]
Year of publishing:2017
PID:20.500.12556/DKUM-68462 New window
UDC:[620.17:621.762]:004.89(043.2)
COBISS.SI-ID:21292566 New window
NUK URN:URN:SI:UM:DK:JDJINS4L
Publication date in DKUM:07.11.2017
Views:1968
Downloads:214
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:21.09.2017

Secondary language

Language:English
Title:Determination of closed-cell foam material parameters at compressive load
Abstract:Due to the useful properties of metal foams, engineers increasingly involved them in new products. However, their material properties can often be defined only by experimental tests, since the mathematical models of the foams are almost indeterminate on the basis of simple standard tests. In this task, we will learn about another way in which we will determine the material properties by trying to repeat two different experiments with the strength analysis based on the finite element method. The reference values are given, but finding the solution across all variables would take too long to be manually modified. Therefore, genetic algorithms and a program that changes it simultaneously or learns from previous solutions and searches for better ones have been used. Since two experiments have been considered, we will also evaluate the solutions according to two criteria. Therefore, we will need the Paretto fronts contained in the NSGA II algorithm. The method with which we sought the best solutions in this task has proved to be good, especially optimization for several parameters. However, there is still a lot of room for improvement, since we can include a larger number of variables and a greater number of optimization parameters by adding a variety of simple tests. For commercial use, it would be necessary to investigate which tests give the best results. The discussed method of determining material properties through experiments and repetition in the simulation environment has a great potential, which can be extended to other materials and is not only exclusive for metal foams.
Keywords:aluminium alloy, metal foam, material model, ABAQUS, genetic algorithm, NSGA II


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