20.500.12556/DKUM-96870 Characterizing the effects of SiC and ▫$Al_2O_3$▫ on the mechanical properties of Al6082 hybrid metal matrix composites: an experimental and neural network approach an experimental and neural network approach The use of advanced materials in the field of aerospace and automotive applications has led to use of metal matrix composites (MMC’s) due to their excellent mechanical properties. Aluminium metal matrix composite is one of the materials which can be strengthened by reinforcing it with hard ceramic particles. In the current work Al6082 matrix hybrid composites reinforced with silicon carbide (SiC) and aluminium oxide (Al2O3) was developed by using stir casting technique. The weight percentage of SiC was varied from 0 wt.% to 8 wt.% and keeping 3 wt.% Al2O3 constants. The tensile, hardness, density and impact tests were conducted, and the results obtained revealed that the addition of silicon carbide and Al2O3 particles in Al6082 enhances the mechanical properties of the prepared hybrid composites. The artificial neural network (ANN) model, which was trained using a dataset consisting of experimental results, has effectively captured the correlation between the weight percentage (wt.%) of silicon carbide (SiC) and the mechanical properties of the composite material. Through the examination of this model, valuable insights can be obtained regarding the distinct contributions of SiC to the mechanical properties of Al6082. aerospace and automotive industry manufacturing stir casting metal matrix composites MMC aluminium metal matrix composite (Al2O3) Silicon carbide (SiC) mechanical properties artificial neural network (ANN) vesoljska industrija avtomobilska industrija kompoziti s kovisnko matriko silicijev karbid mehanske lastnosti true false true Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering Angleški jezik Slovenski jezik https://apem-journal.org/ Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Članek v reviji 2026-01-30 11:27:09 2026-01-30 11:27:09 2026-01-31 03:16:04 0000-00-00 00:00:00 2024 0 0 str. 281-292 no. 2 Vol. 19 June 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-05-06 2024-07-13 2024-08-29 658.5 266750467 10.14743/apem2024.2.507 1854-6250 APEM19-2_281-292.pdf APEM19-2_281-292.pdf 1 DF91C7A87ED923D09CC48DDF7AD84C80 47248c738b655734a1dc8844e2113226ecd7dd009b5ee67fb4f58b98c6def926 87896552-fdc6-11f0-8805-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202851 https://apem-journal.org/Archives/2024/Abstract-APEM19-2_281-292.html 0 8c65f804-fdc6-11f0-8805-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202852 Fakulteta za strojništvo Advances in production engineering & management 0 0 0