Enhanced microstructure, strength, and wear resistance of AA2024-AlB2 composites via multi-pass friction stir processing

This study investigates the effect of multi-pass friction stir processing (FSP) on the microstructural, mechanical, and wear properties of AA2024 Al alloy reinforced with AlB 2 particles. Cross-sectional analysis reveals a progressive improvement in particle distribution with additional FSP passes, attributed to increased strain rates and temperatures in the stir zone. Grain sizes within the stir zone expand as FSP passes increase from one to three, with values shifting from 1.2 ± 0.2 to 3.5 ± 0.2 μm. Samples with AlB 2 reinforcement show finer grain sizes due to the pinning effect of particles, resulting in enhanced microstructural stability. X-ray diffraction analysis indicates an increase in AlB 2 formation, rising from 6 % to 11 % with additional passes, driven by higher temperatures and strain in the stir zone. Hardness measurements reveal an increase from 120.3 ± 2.3 HV0.1 in the base metal to 158.7 ± 4.3 HV0.1 in AlB 2 -containing samples, attributed to uniform particle distribution and AlB 2 formation. Tensile tests show improved yield strength and ultimate tensile strength in reinforced samples, with strength and toughness gains of approximately 25 % and 4 % after three passes. Wear tests show decreased friction coefficients and wear rates in AlB 2 -containing samples, with rates reducing to 4.5 μg/m, highlighting the wear-resistant properties imparted by AlB 2 particles.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-04-08
DOI
https://doi.org/10.1016/j.jmrt.2025.04.043
Citations
11
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
7.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced microstructure, strength, and wear resistance of AA2024-AlB2 composites via multi-pass friction stir processing

Hamed Jamshidi Aval, Roohollah Jamaati, Mahna Nikzad‐Dinan
11 citations
Journal of Materials Research and Technology
Aluminum Alloys Composites Properties
7.85
article

Enhanced microstructure, strength, and wear resistance of AA2024-AlB2 composites via multi-pass friction stir processing

Hamed Jamshidi Aval, Roohollah Jamaati, Mahna Nikzad‐Dinan
article en
11 citations

Abstract

This study investigates the effect of multi-pass friction stir processing (FSP) on the microstructural, mechanical, and wear properties of AA2024 Al alloy reinforced with AlB 2 particles. Cross-sectional analysis reveals a progressive improvement in particle distribution with additional FSP passes, attributed to increased strain rates and temperatures in the stir zone. Grain sizes within the stir zone expand as FSP passes increase from one to three, with values shifting from 1.2 ± 0.2 to 3.5 ± 0.2 μm. Samples with AlB 2 reinforcement show finer grain sizes due to the pinning effect of particles, resulting in enhanced microstructural stability. X-ray diffraction analysis indicates an increase in AlB 2 formation, rising from 6 % to 11 % with additional passes, driven by higher temperatures and strain in the stir zone. Hardness measurements reveal an increase from 120.3 ± 2.3 HV0.1 in the base metal to 158.7 ± 4.3 HV0.1 in AlB 2 -containing samples, attributed to uniform particle distribution and AlB 2 formation. Tensile tests show improved yield strength and ultimate tensile strength in reinforced samples, with strength and toughness gains of approximately 25 % and 4 % after three passes. Wear tests show decreased friction coefficients and wear rates in AlB 2 -containing samples, with rates reducing to 4.5 μg/m, highlighting the wear-resistant properties imparted by AlB 2 particles.

Journal of Materials Research and TechnologyVol. 36
Babol Noshirvani University of Technology (IR)
Affordable and clean energy
Openalex Percentile: Top 2%
Aluminum Alloys Composites Properties
7.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.