Matematični model rezultatov analiz v kovinski industriji

diplomsko delo visokošolskega strokovnega študijskega programa I. stopnje

Urška Bukovšek (Author), Anita Kovač Kralj (Mentor), Irena Ban (Co-mentor), Miha Kovačič (Co-mentor)

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 modeli;linearna regresija;nelinearna regresija;pečna žlindra;ponovčna žlindra;stranski produkti;

Data

Language:	Slovenian
Year of publishing:	2014
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FKKT - Faculty of Chemistry and Chemical Engineering
Publisher:	[U. Bukovšek]
UDC:	625.821.4:669.14(043.2)
COBISS:	18235158
Views:	2519
Downloads:	124
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	MATHEMATICAL MODEL OF ANALYTICAL RESULTS IN THE METAL INDUSTRY
Secondary 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.
Secondary keywords:	mathematical models;linear regression;nonlinear regression;furnace slag;ladle slag;by-products;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za kemijo in kemijsko tehnologijo
Pages:	VIII, 31 str.
ID:	8729772