Faculty of Engineering, Kragujevac

Permanent URI for this collectionhttps://dspace.unic.kg.ac.rs/handle/123456789/8210

Since 1976, the Faculty of Mechanical Engineering from Kragujevac is a member of the University "Svetozar Markovic" of Kragujevac, now the University of Kragujevac. Since the foundation to the present, the Faculty has been intensively developing and still is developing with significant spatial, personnel and material recuperation.

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Even this small part of the achieved results shows that the Faculty of mechanical Engineering from kragujevac is an institution rich in tradition and with impressive results, recognized in domestic and foreign circles.

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Browsing Faculty of Engineering, Kragujevac by Subject "A356"

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    Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network
    (Society of Bulgarian Tribologists FIT – Technical University of Sofia, 2016) Stojanovic, Blaza; Gajević, Sandra; Vencl, Aleksandar; Babic, Miroslav; Petrovic, Nenad; Miladinovic, Slavica; Cherkezova-Zheleva, Zara
    This paper analyses wear behaviour of Al-Si alloy A356 (AlSi7Mg) based composite reinforced with 10 wt. % SiC, and compare it with the base A356 alloy. Composite are obtained using the compocasting procedure. Tribological testing have been conducted on a block-on-disc tribometer with three varying loads (10, 20 and 30 N) and three sliding speeds (0.25, 0.5 and 1 m/s), under dry sliding conditions. Sliding distance of 300 m was constant. The goal of the paper was to optimize the influencing parameters in order to minimize specific wear rate using the Taguchi method. The analysis showed that the sliding speed has the greatest influence on specific wear rate (39.5 %), followed by the load (23.6 %), and the interaction between sliding speed and load (19.4 %). A regression analysis and experiment corroboration was conducted in order to verify the results of the optimization. Specific wear rate prediction was done using artificial neural network (ANN).
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    Optimization of wear behaviour in aluminium hybrid composites using Taguchi method
    (Serbian Tribology Society, University of Belgrade, Faculty of Mechanical Engineering, 2015-05-15) Stojanovic, Blaza; Babic, Miroslav; Gajević, Sandra; Blagojević, Jasmina
    Tribological behaviour of a hybrid composite with the aluminium alloy base A356 reinforced by 10 wt. % SiC and 5 wt. % of graphite is treated in this paper. The optimization of tribological behaviour was conducted through the application of Taguchi method. Hybrid composites were obtained in the compocasting procedure. Tribological examinations were executed on the block on disc tribometer with the variation of two different load values (20 and 30 N), three sliding speed values (0.25, 0.5 and 1 m/s) and three sliding distance values (30, 90 and 150 m). All the examinations were carried out in conditions with no lubrication existing. The analysis of the wear rate was conducted using the ANOVA method of analysis. The greatest impact on the wear rate has the load (62.11 %), then the sliding speed (32.88 %), and the least the sliding distance (2.57 %). The interaction of the factors does not have a significant impact on the wear rate.
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    Taguchi optimization of tribological properties of Al/SiC/graphite composite
    (2016) Stojanovic, Blaza; Babic, Miroslav; Ivanović, Lozica
    Investigation of tribological behaviour of the hybrid composite, whose substrate is Al/Si alloy A356, reinforced with 10 wt. (%) of silicon carbide (SiC) and 0 and 5 wt. (%) of graphite (Gr) is presented in this paper by application of the Taguchi method. The composites are obtained by the compocasting procedure. The tribological investigations were realised on the tribometer with the block-on-disc contact pair in lubricating conditions and for the two values of the sliding speed, 0.25 and 1 m/s, two values of load 40 and 120 N and two values of the sliding path, 1200 and 2400 m. The wear traces were measured within the experiment, namely the wear intensities were calculated and results analysis was performed by application of the ANOVA technique. The strongest influence on the wear intensity was exhibited by the normal load (39.05%), then follow wt. (%) of the reinforcer (26.84%), the sliding speed (20.93%) and the sliding path (10.72%). The smallest wear appears in hybrid composite Al/SiC/Gr with 5 wt. (%) of the graphite reinforces, at the lowest load of 40 N, sliding speed of 1 m/s and along the sliding path of 2400 m. The main aim of their study is to provide new information and knowledge about the tribological behaviour of hybrid composites with a base of Al-Si alloy A356 reinforced with 10 wt. (%) SiC and with the addition of 0 and 5 wt.% Gr under lubricated sliding conditions. © 2016, Scibulcom Ltd. All rights reserved.
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    TRIBOLOGICAL BEHAVIOR OF ALUMINUM COMPOSITES USING TAGUCHI DESIGN AND ANN
    (2022) Stojanovic, Blaza; Tomović, Radoslav; Gajević, Sandra; Petrović, Jelena; Miladinovic, Slavica
    In this paper is presented the tribological behavior of A356-based aluminum composites using Taguchi design. Testing of tribological characteristics of aluminum composites was done on a tribometer with block on disc contact geometry. Composite materials were obtained by compocasting. The orthogonal matrix L18 is used to form the experimental design using the Taguchi method. The tribological characteristics of the aluminum composite reinforced with SiC (A356/10 wt.% SiC) were compared to the base material A356 for three sliding speeds (0.25 m/s; 0.5 m/s and 1.0 m/s), three values of normal load (10 N, 20 N and 30 N) and sliding distance of 150 m under lubrication conditions. ANOVA analysis showed that the least wear has a composite material at a load of 10 N and at sliding speed of 0.25 m/s.
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