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Title:MATEMATIČNI MODEL REZULTATOV ANALIZ V KOVINSKI INDUSTRIJI
Authors:ID Bukovšek, Urška (Author)
ID Kovač Kralj, Anita (Mentor) More about this mentor... New window
ID Ban, Irena (Comentor)
ID Kovačič, Miha (Comentor)
Files:.pdf VS_Bukovsek_Urska_2014.pdf (1,40 MB)
MD5: 11BCA6FC92DF50DFBF7994A229E39339
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:Namen diplomskega dela je izdelati matematične modele na podlagi rezultatov analiz pečne in ponovčne žlindre v podjetju Štore Steel d.o.o. ter preveriti njihovo uporabnost. V prvem delu smo vzorcem pečne in ponovčne žlindre, s pomočjo volumetrične, gravimetrične in fotometrične metode, določili vsebnost MgO, CaO, MnO, Al2O3, FeO in SiO2 v masnih odstotkih. Analizne metode smo izvajali po standardnih navodilih, ki jih uporabljajo v podjetju. V drugem delu smo na podlagi dobljenih rezultatov izvedenih analiz, v programu Microsoft Excel izdelali matematične modele linearne in nelinearne regresije za vsako žlindro posebej. Ugotovili smo, da bi lahko ob analitično določeni vsebnosti ene komponente v vzorcu žlindre, matematično določili vrednosti drugih komponent in tako prihranili na času izvajanja analiz ter stroških. Za najbolj ustrezne so se izkazali modeli ponovčne žlindre, saj so se dobljeni rezultati zelo približali realnim meritvam. Pri modelih pečne žlindre pa so bila odstopanja večja, zato smo nekatere modele ovrgli.
Keywords:matematični model, linearna regresija, nelinearna regresija, pečna žlindra, ponovčna žlindra, stranski produkt
Place of publishing:Maribor
Publisher:[U. Bukovšek]
Year of publishing:2014
PID:20.500.12556/DKUM-45403 New window
UDC:625.821.4:669.14(043.2)
COBISS.SI-ID:18235158 New window
NUK URN:URN:SI:UM:DK:0CSIT9CL
Publication date in DKUM:22.09.2014
Views:3459
Downloads:222
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FKKT
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Secondary language

Language:English
Title:MATHEMATICAL MODEL OF ANALYTICAL RESULTS IN THE METAL INDUSTRY
Abstract:The purpose of the thesis is to develop mathematical models, based on the analytical results of furnace and ladle slag in the company Štore Steel d.o.o. and examine their usability. In the first part, we used volumetric, gravimetric and photometric methods to determine the weight percent content of MgO, CaO, MnO, Al2O3, FeO in SiO2 in samples of furnace and ladle slag. Analytical methods were performed according with standard instructions, used by the company. In second part, we used the results of analytical part and developed mathematical models of linear and nonlinear regression in Microsoft Excel for each slag separately. The results showed that if we determine one component in slag sample analytically, we could determine the values of other components mathematically. Using mathematical models could save time of analysis implementation and arised costs. For the most appropriate have proved models of ladle slag, as the results were very close to real measurements. Models of furnace slag had higher deviations, so we disproved some of them.
Keywords:mathematical model, linear regression, nonlinear regression, furnace slag, ladle slag, by-product


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