Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of Kragujevac

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2024Investigation of the impact of abrasive action on surface roughness and worn mass of laminated compositescitations
  • 2024Tribological Behaviour of Hypereutectic Al-Si Composites: A Multi-Response Optimisation Approach with ANN and Taguchi Grey Method9citations
  • 2024Particulate Matter Emission and Air Pollution Reduction by Applying Variable Systems in Tribologically Optimized Diesel Engines for Vehicles in Road Traffic47citations
  • 2024Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches28citations
  • 2024Optimization of Dry Sliding Wear in Hot-Pressed Al/B4C Metal Matrix Composites Using Taguchi Method and ANN13citations
  • 2023Tribological Application of Nanocomposite Additives in Industrial Oils35citations
  • 2022Developments of discontinuously reinforced aluminium matrix composites: Solving the needs for the matrix27citations
  • 2021Multi response parameters optimization of ZA-27 nanocomposites2citations
  • 2021Optimization of hybrid ZA‐27 nanocomposites using ANOVA and ANN analysiscitations
  • 2020Micro/nanoscale structural, mechanical and tribological characterization of ZA-27/SiC nanocomposites16citations
  • 2016NUMERICAL ANALYSIS OF ALUMINUM COMPOSITE CYLINDRICAL GEARScitations

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Miladinovic, Slavica
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Mitrović, Nikola
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Jelena, Jovanović
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Gajević, Sandra
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Blagojević, Jasmina
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Miletic, Ivan
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Çuvalci, Hamdullah
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Dzunic, Dragan
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Babic, Miroslav
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Garic, Slobodan
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Milovanović, Vladimir
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Co-Authors (by relevance)

  • Miladinovic, Slavica
  • Mitrović, Nikola
  • Jelena, Jovanović
  • Gajević, Sandra
  • Blagojević, Jasmina
  • Miletic, Ivan
  • Miladinović, Slavica
  • Savić, Slobodan
  • Vencl, Aleksandar
  • Milojević, Saša
  • Bukvic, Milan
  • Boskovic, Goran
  • Glišović, Jasna
  • Ivanović, Lozica
  • Markovic, Ana
  • Ašonja, Aleksandar
  • Özkaya, Serdar
  • Güler, Onur
  • Skulić, Aleksandar
  • Utu, D.
  • Bulei, C.
  • Çuvalci, Hamdullah
  • Miloradović, Nenad
  • Dzunic, Dragan
  • Pantic, Marko
  • Babic, Miroslav
  • Garic, Slobodan
  • Milovanović, Vladimir
OrganizationsLocationPeople

article

Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

  • Ivanović, Lozica
  • Milojević, Saša
  • Gajević, Sandra
  • Markovic, Ana
  • Ašonja, Aleksandar
  • Stojanovic, Blaza
Abstract

<jats:p>In this study, a multi-objective optimization regarding the tribological characteristics of the hybrid composite with a base material of aluminum alloy A356 as a constituent, reinforced with a 10 wt.% of silicon carbide (SiC), size 39 µm, and 1, 3, and 5 wt.% graphite (Gr), size 35 µm, was performed using the Taguchi method, gray relational analysis (GRA), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) decision-making methods. Tribological tests were carried out on a “block on disc” type tribometer with lubrication. Load, sliding speed, and graphite mass concentration were analyzed as input parameters. As output parameters, wear rate and coefficient of friction were calculated. An analysis of variance (ANOVA) was conducted to identify all parameters that have a significant influence on the output multi-response. It was found that the normal load has the highest influence of 41.86%, followed by sliding speed at 32.48% and graphite addition at 18.47%, on the tribological characteristics of composites. Multi-objective optimization determined that the minimal wear rate and coefficient of friction are obtained when the load is 40 N, the sliding speed is 1 m/s, and the composite contains 3 wt.% Gr. The optimal combination of parameters achieved by GRA was also confirmed by the TOPSIS method, which indicates that both methods can be used with high reliability to optimize the tribological characteristics. The analysis of worn surfaces using scanning electron microscopy revealed adhesive and delamination wear as dominant mechanisms.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • scanning electron microscopy
  • aluminium
  • carbide
  • composite
  • Silicon
  • coefficient of friction