Metalurgija 47 (3) 145

Z A G R E B
October / December
2 0 0 8

Metalurgija - Journal for Theory and Practice in Metellurgy

Metallurgy 47 (4) 285 - 356
PDF - 19600 kB

ISSN 1334-2576 UDC:669+621.7+51/54(05)=163.42=111 METABK: 47 (4) 285 - 356(2008)

F. Vodopivec, J. Zrnik

Survey of 8^th International Symposium of Croatian Metallurgical Society (CMS) SHMD ´2008.
article page 287 - 290 PDF - 538 kB

Editoral board of journal Metalurgija

Minutes of the meeting of the Editorial Board of Journal Metalurgija, held on 23 June 2008 in the hotel Ivan-Solaris Šibenik with the beginning at 6³⁰pm
article page 291 - 294 PDF - 647 kB

Original Scientific Paper

M. Besterci, T. Kvačkaj,
R. Kočiško, J. Bacsó,
K. Sulleiová

Formation of ultrafine-grained (UFG) structure and mechanical properties by severe plastic deformation (SPD)
abstract, article page 295 - 299 PDF - 1423 kB

R. Turk, I. Peruš,
M. Kovačič, G. Kugler,
M. Terčelj

Genetic programming and cae neural networks approach for prediction of the bending capability of ZnTiCu sheets
abstract, article page 301 - 305 PDF - 654 kB

T. Večko Pirtovšek, I. Peruš,
G. Kugler, R. Turk,
M. Terčelj

Hot forming of AISI A2 tool steel
abstract, article page 307 - 311 PDF - 2305 kB

B. Barišić, Z. Car,
M. Ikonić

Analysis of different modeling approach at determining of backward extrusion force on AlCu5PbBi material
abstract, article page 313 - 316 PDF - 648 kB

R. Rudolf, T. Zupančič Hartner,
L. Kosec, A. Todorović,
B. Kosec, I. Anžel

Mechanical properties and microstructure characterisation of Au-Pt dental alloy
abstract, article page 317 - 323 PDF - 1625 kB

M. Dunđer, Ž. Ivandić,
I. Samardžić

Selection of arc welding parameters of micro alloyed HSLA steel
abstract, article page 325 - 330 PDF - 2693 kB

D. Bajić, B. Lela,
D. Živković

Modeling of machined surface roughness and optimization of cutting parameters in face milling
abstract, article page 331 - 334 PDF - 1258 kB

N. Fafandjel, A. Zamarin,
T. Mikac

Throughput for steel pipes manufacturing process design
abstract, article page 335 - 338 PDF - 498 kB

Z. Jančíková, V. Roubíček,
D. Juchelková

Application of artificial intelligence methods for prediction of steel mechanical properties
abstract, article page 339 - 342 PDF - 566 kB

A. Patarić, Z. Gulišija,
B. Jordović

Microstructure and characterization of electromagnetic casting Al 2024 alloy ingots
abstract, article page 343 - 346 PDF - 862 kB

Desulphurization of steel and pig iron
abstract, article page 347 - 350 PDF - 503 kB

V. Marušić, I. Vitez,
B. Nedić

Abrasive wear resistance of glass fiber reinforced polyester laminates
abstract, article page 351 - 355 PDF - 1854 kB

Original Scientific Paper

M. Besterci, T. Kvačkaj, R. Kočiško, J. Bacsó, K. Sulleiová - Formation of ultrafine-grained (UFG) structure and mechanical properties by severe plastic deformation (SPD)

Commercial pure cooper (99,9% Cu) was deformed by equal channel angular pressing (ECAP) using up to 10 passes, route C. The evolution of microstructure and fracture character were observed by OM, SEM and TEM. The mean grain size decreased with increasing deformation, after 10 passes to 100 – 300 nm. TEM analysis suggested the possible nanostructure formation mechanism by the formation of cellular structure in grains, forming of subgrains and then forming of high angle nanograins with random orientation. Fractures of ECAP Cu material after 10 passes had transcrystalline ductile character with dimple morphology.
PDF - 1423 kB

R. Turk, I. Peruš, M. Kovačič, G. Kugler, M. Terčelj - Genetic programming and cae neural networks approach for prediction of the bending capability of ZnTiCu sheets

Genetic programming (GP) and CAE NN analysis have been applied for the prediction of bending capability of rolled ZnTiCu alloy sheet. Investigation revealed that an analysis with CAE NN is faster than GP but less accurate for lower amount of data. Both methods enable good assessment of separate influencing parameters in the complex system.
PDF - 654 kB

T. Večko Pirtovšek, I. Peruš, G. Kugler, R. Turk, M. Terčelj - Hot forming of AISI A2 tool steel

For further increase of economy of production of AISI A2 tool steel a study of possibility of expanding the hot working range and better prediction of flow stress has been carried out. By employing hot compression tests it was proved, that initial microstructures have influence on the lower limit and chemical composition on upper limit of hot working range. A CAE Neural Networks was applied to predict the flow stresses for intermediate values of strain rates and temperatures. For optimization purposes the activation energies and constants of the hyperbolic sine function for two temperatures ranges (850-1000°C and 1000-1150°C) were calculated.
PDF - 2305 kB

B. Barišić, Z. Car, M. Ikonić - Analysis of different modeling approach at determining of backward extrusion force on AlCu5PbBi material

The goal of the paper is to present an outline of different modeling approach at determining of backward extrusion force on AlCu5PbBi material and to compare them with experimental obtained results. Stochastic modeling in the paper is based on the statistic processing of central composite experimental design i.e. in this investigations central composite circumscribed (CCC) design. The numerical modeling is based on the finite element method (FEM) using ABAQUS 6.4.1. Explicit software.
PDF - 648 kB

R. Rudolf, T. Zupančič Hartner, L. Kosec, A. Todorović, B. Kosec, I. Anžel - Mechanical properties and microstructure characterisation of Au-Pt dental alloy

Development of a dental alloy with high Au content is based on the ternary system of Au-Pt-Zn with a nominal composition of 86,9Au-9,9Pt-1,5Zn, and about 1,5 wt.% micro-alloying elements (In, Ir, Rh). The results analyses of different heat-treated states showed that the optimal mechanical properties and hardness of an Au-Pt-Zn alloy can be reached with combinations of heat treatment for 20 minutes at 723 K and then slowly cooling, if the alloy was annealed at 1223 K for 30 minutes and the water quenched. Research results confirmed that the microstructure of the Au-Pt-Zn alloy consists of two phases: _1-phase rich in Au (main phase) and _2-phase rich in Pt (minor phase). During XRD analysis and use of the Rietveld method, it was found that the _1-phase content is about 98,5 wt.% while the content of _2-phase is 1,5 wt.%. STA analyses show that the Au-Pt-Zn alloy has a solidus temperature of about 1292 K and a liquidus temperature of about 1412 K.
PDF - 1625 kB

M. Dunđer, Ž. Ivandić, I. Samardžić - Selection of arc welding parameters of micro alloyed HSLA steel

In order to ensure performance reliability of a welded product, its quality has to be ensured by proper setting of welding parameters and welding cycle. A quality weld – a weld with no manufacturing, structural or geometric flaws, i.e. with necessary mechanical properties - is achieved only by correct parameter definition and adherence. The knowledge of various effects and relations between welding parameters and their repetition enable an optimal choice of welding parameters.
PDF - 2693 kB

D. Bajić, B. Lela, D. Živković - Modeling of machined surface roughness and optimization of cutting parameters in face milling

The influence of cutting parameters on surface roughness in face milling has been examined. Cutting speed, feed rate and depth of cut have been taken into consideration as the influential factors. A series of experiments have been carried out in accordance with a design of experiment (DOE). In order to obtain mathematical models that are able to predict surface roughness two different modeling approaches, namely regression analysis and neural networks, have been applied to experimentally determined data. Obtained results have been compared and neural network model gives better explanation of the observed physical system. Optimal cutting parameters have been found using simplex optimization algorithm.
PDF - 1258 kB

N. Fafandjel, A. Zamarin, T. Mikac - Throughput for steel pipes manufacturing process design

Conventional approach to pipe manufacturing process design is using capacity to satisfy maximal load for each process. In the new approach, throughput is suggested as a basic determinant aiming at finding dynamic balance among following and previous process phases. Throughput is defined by the interval of time between product exiting from the preceding process phase and its entry to the next one. Interval of time for the product delivery from the preceding phase must be less or equal as the amount of time necessary for activating the next phase. Knowing the performances of the next phase one can impact to the characteristics of the preceding phase. Throughput can be also used as a more precise way for observed process productivity measurement. Such approach is suggested and for other complex technological processes.
PDF - 498 kB

Z. Jančíková, V. Roubíček, D. Juchelková - Application of artificial intelligence methods for prediction of steel mechanical properties

The target of the contribution is to outline possibilities of applying artificial neural networks for the prediction of mechanical steel properties after heat treatment and to judge their perspective use in this field. The achieved models enable the prediction of final mechanical material properties on the basis of decisive parameters influencing these properties. By applying artificial intelligence methods in combination with mathematic-physical analysis methods it will be possible to create facilities for designing a system of the continuous rationalization of existing and also newly developing industrial technologies.
PDF - 566 kB

A. Patarić, Z. Gulišija, B. Jordović - Microstructure and characterization of electromagnetic casting Al 2024 alloy ingots

This paper presents the investigation into the possibility for application of production process for casting aluminum alloys under the influence of electromagnetic field. The presented results were obtained from microstructure examination of Al alloy 2024 ingots casted with or without electromagnetic field. The microstructure characterization shows that under the influence of low-frequency (30-50 Hz) electromagnetic field it is possible to obtain finer and more homogeneous microstructure with reduced porosity. In the end, it is obvious in which way the operation parameters should be varied in order to get a good quality of ingots.
PDF - 862 kB

J. Kijac, M. Borgon - Desulphurization of steel and pig iron

Metallurgical slag qualities must be defined by the whole complex of physico - chemical characteristics, such as an oxidative ability, optical basicity, sulphide capacity up to slag fluidity, its surface tension etc. The understanding of regulation of basic physico - chemical qualities of molten metals and slag depending on a chemical structure and a temperature has its importance at the level of the metallurgical process control. Presented paper deals with the possibilities how to exploit the sulphidic capacity for the desulphurisation evaluation in course of the metal reafining in the oxygen converter based on the set of the operational data. The integral part of the work is the process of the pig iron desulphurisation.
PDF - 503 kB

V. Marušić, I. Vitez, B. Nedić - Abrasive wear resistance of glass fiber reinforced polyester laminates

Tribological properties (Taber abrazer) and damages of fibre reinforced polyester laminates have been examined, depending on the number of reinforcing layers, their layout and thickness. The valorisation of properties was based on the composition of plates and the homogeneity of structure. Correlation between tribological and mechanical properties was determined by analysing test results.
PDF - 1854 kB

October / December
2 0 0 8
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Z A G R E B October / December 2 0 0 8		Original Scientific Paper	Preliminary Note	Review
Z A G R E B October / December 2 0 0 8		Review Paper	Professional Paper	ARCHIVE 1996 - 2008

October / December 2 0 0 8 Top of Page		Original Scientific Paper	Preliminary Note	Review
October / December 2 0 0 8 Top of Page		Review Paper	Professional Paper	ARCHIVE 1996 - 2008

47. year issue	Metalurgija - Journal for Theory and Practice in Metellurgy
Metallurgy 47 (4) 285 - 356 PDF - 19600 kB	ISSN 1334-2576 UDC:669+621.7+51/54(05)=163.42=111 METABK: 47 (4) 285 - 356(2008)

Top of Page	Other
F. Vodopivec, J. Zrnik	Survey of 8^th International Symposium of Croatian Metallurgical Society (CMS) SHMD ´2008. article page 287 - 290 PDF - 538 kB
Editoral board of journal Metalurgija	Minutes of the meeting of the Editorial Board of Journal Metalurgija, held on 23 June 2008 in the hotel Ivan-Solaris Šibenik with the beginning at 6³⁰pm article page 291 - 294 PDF - 647 kB

Authors	Original Scientific Paper
M. Besterci, T. Kvačkaj, R. Kočiško, J. Bacsó, K. Sulleiová	Formation of ultrafine-grained (UFG) structure and mechanical properties by severe plastic deformation (SPD) abstract, article page 295 - 299 PDF - 1423 kB
R. Turk, I. Peruš, M. Kovačič, G. Kugler, M. Terčelj	Genetic programming and cae neural networks approach for prediction of the bending capability of ZnTiCu sheets abstract, article page 301 - 305 PDF - 654 kB
T. Večko Pirtovšek, I. Peruš, G. Kugler, R. Turk, M. Terčelj	Hot forming of AISI A2 tool steel abstract, article page 307 - 311 PDF - 2305 kB
B. Barišić, Z. Car, M. Ikonić	Analysis of different modeling approach at determining of backward extrusion force on AlCu5PbBi material abstract, article page 313 - 316 PDF - 648 kB
R. Rudolf, T. Zupančič Hartner, L. Kosec, A. Todorović, B. Kosec, I. Anžel	Mechanical properties and microstructure characterisation of Au-Pt dental alloy abstract, article page 317 - 323 PDF - 1625 kB
M. Dunđer, Ž. Ivandić, I. Samardžić	Selection of arc welding parameters of micro alloyed HSLA steel abstract, article page 325 - 330 PDF - 2693 kB
D. Bajić, B. Lela, D. Živković	Modeling of machined surface roughness and optimization of cutting parameters in face milling abstract, article page 331 - 334 PDF - 1258 kB
N. Fafandjel, A. Zamarin, T. Mikac	Throughput for steel pipes manufacturing process design abstract, article page 335 - 338 PDF - 498 kB

Home	Preliminary Note
Z. Jančíková, V. Roubíček, D. Juchelková	Application of artificial intelligence methods for prediction of steel mechanical properties abstract, article page 339 - 342 PDF - 566 kB
A. Patarić, Z. Gulišija, B. Jordović	Microstructure and characterization of electromagnetic casting Al 2024 alloy ingots abstract, article page 343 - 346 PDF - 862 kB
J. Kijac, M. Borgon	Desulphurization of steel and pig iron abstract, article page 347 - 350 PDF - 503 kB
V. Marušić, I. Vitez, B. Nedić	Abrasive wear resistance of glass fiber reinforced polyester laminates abstract, article page 351 - 355 PDF - 1854 kB