Image-based microstructural characterization and mechanical behavior of hybrid Al 5083 MMC reinforced with SiC, Mg, and Sr

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Authors: Praveen Kumar Thanikonda, Govada Rambabu, Ch. Ratnam, B. Suryanarayana Murthy
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Abstract

This study investigates the mechanical and microstructural performance of Al-5083 composites fortified with hybrid reinforcements featuring 2 to 12 wt.% SiC, Mg, and Sr particulates, synthesized by stir casting technique, in contrast to earlier research that typically utilize single reinforcement or fine compositional ranges. The outcomes of the optical microscopy and SEM-EDS, as well as the tensile, flexural, impact, and wear tests, substantiate the evaluation of matrix reinforcement, elemental incorporation, and particle dispersion. The mechanical performance improved with increasing reinforcement, and the best strength, toughness, and wear resistance are shown at 10 wt.% composition. The successful addition of hybrid particles and then resulting improvement of the aluminum matrix is confirmed by elemental mapping and microstructural analysis. The hybrid SiC-Mg-Sr reinforcement provides experimental insight into how multicomponent reinforcement affects microstructure and properties, and it enhances Al-5083 performance. Matrix regions are localized by the addition of hybrid reinforcement, produces alternative sound structures that were observed across all compositions. Effective stress transfer between the particles and matrix confirmed by the uniform rise of load bearing capacity as the reinforcement level increases. These observations highlight the appropriate stir casting for manufacturing hybrid MMCs with reasonable engineering relevance. The insights gained from this investigation may assist in designing lightweight components where simultaneous improvements in strength and wear resistance are required.

Fields of Study & Subjects

Aluminum Alloys Composites Properties Advanced Welding Techniques Analysis Polymer Science and Applications

Publication details

Journal / source
National repository of research data in engineering
Publication date
6 March 2026
Language
EN