Evaluating the influence of friction stir processing on AlSi7Mg0.2 alloy using principal component analysis

Evaluating the influence of friction stir processing on AlSi7Mg0.2 alloy using principal component analysis

This study explores the impact of Friction Stir Processing (FSP) on the AlSi7Mg0.2 aluminum alloy, utilizing Principal Component Analysis (PCA) to assess changes in microstructural, mechanical, tribological, and corrosion properties. Various tool pin profiles and processing parameters were applied t...

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Bibliographic Details
Main Authors: Eddie Gazo-Hanna, Essam B. Moustafa, Ahmed O. Mosleh, Semaan Amine, Khaled Younes
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Friction stir processing
AlSi7Mg0.2 alloy
Microstructure mechanical properties
Wear resistance
Corrosion resistance
Principal component analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025020936
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Summary:This study explores the impact of Friction Stir Processing (FSP) on the AlSi7Mg0.2 aluminum alloy, utilizing Principal Component Analysis (PCA) to assess changes in microstructural, mechanical, tribological, and corrosion properties. Various tool pin profiles and processing parameters were applied to investigate their influence on alloy performance. Comprehensive characterization techniques, including microstructure analysis, hardness testing, wear rate measurement, and corrosion assessment, were employed. PCA was instrumental in interpreting complex experimental data, identifying key factors that significantly affect the alloy's behavior post-FSP. Results indicate that optimized FSP parameters lead to substantial property improvements, including a uniform distribution of fine-equiaxed Si particles within the α-Al matrix, enhancing overall performance. Excluding outliers improved variance explanation from 55.18 % to 68.70 %, clarifying data clustering and emphasizing tailored data analysis approaches. These findings highlight the potential of combining FSP with PCA as a powerful methodology for tailoring and optimizing Al-Si-based materials, making them suitable for high-performance industrial applications in the automotive and aerospace sectors.
ISSN:2590-1230

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