| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Stojanovic, Blaza
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 composites
- 2024Tribological Behaviour of Hypereutectic Al-Si Composites: A Multi-Response Optimisation Approach with ANN and Taguchi Grey Methodcitations
- 2024Particulate Matter Emission and Air Pollution Reduction by Applying Variable Systems in Tribologically Optimized Diesel Engines for Vehicles in Road Trafficcitations
- 2024Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approachescitations
- 2024Optimization of Dry Sliding Wear in Hot-Pressed Al/B4C Metal Matrix Composites Using Taguchi Method and ANNcitations
- 2023Tribological Application of Nanocomposite Additives in Industrial Oilscitations
- 2022Developments of discontinuously reinforced aluminium matrix composites: Solving the needs for the matrixcitations
- 2021Multi response parameters optimization of ZA-27 nanocompositescitations
- 2021Optimization of hybrid ZA‐27 nanocomposites using ANOVA and ANN analysis
- 2020Micro/nanoscale structural, mechanical and tribological characterization of ZA-27/SiC nanocompositescitations
- 2016NUMERICAL ANALYSIS OF ALUMINUM COMPOSITE CYLINDRICAL GEARS
Places of action
| Organizations | Location | People |
|---|
conferencepaper
Optimization of hybrid ZA‐27 nanocomposites using ANOVA and ANN analysis
Abstract
Nanocomposites based on graphite and aluminium oxide were synthesized via hot pressing process with pre processing mechanical milling. Optimization of wear loss and coefficient of friction of the nanocomposites with ZA 27 alloy matrix, was performed through the analysis of the following influences: sliding speed (100, 150, 200, 250 rpm), reinforcement of Gr (1, 2, 3, 4 vol.%) and reinforcement Al2O3 (1, 2, 3, 4 vol.%). Percentual influence of factors on wear loss and coefficient offriction was determined by ANOVA analysis and is as follows: sliding speed 10.05% and 0.61%,reinforcement of Gr 30.30% and 19.37%, reinforcement of Al2O3 52.99% and 69.01%, respectively. Validation of results using Artificial Neural Network (ANN) gave good correlation with experimental results. Based on this research, it can be observed that nanocomposites with reinforcement of Gr andAl2O3 can be potentially employed in many industries as a good substitute for the base alloy. ; Published