Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10773
Title: Optimization and regression analysis of friction stir processing parameters of AA5083/Coal composites for marine applications
Authors: Muribwathoho, Oritonda 
Msomi, Velaphi 
Mabuwa, Sipokazi 
Keywords: Aluminum alloy;Friction stir welding/processing;Metal matrix composite;Mechanical properties;Taguchi;ANOVA;S/N ratio
Issue Date: 2025
Publisher: MDPI
Source: Muribwathoho, O., Msomi, V. & Mabuwa, S. 2025. Optimization and regression analysis of friction stir processing parameters of AA5083/Coal composites for marine applications. Crystals, 15(1): 1-19. [https://doi.org/10.3390/cryst15010034]
Journal: Crystals 
Abstract: This study aimed to optimize friction stir processing parameters to enhance the mechanical properties of AA 5083/coal composites, a novel material combination with potential applications in marine environments. By systematically varying process parameters such as tilt angle, traverse speed, and rotational speed using a Taguchi experimental design, the FSP process was optimized. Signal-to-noise ratio and analysis of variance techniques were used to determine the most influential parameters on microhardness and ultimate tensile strength. A regression model was developed to predict composite behavior under these optimal conditions. This study found that a combination of 900 rpm, 60 mm/min, and a 2° tilt angle significantly improved mechanical properties. This research contributes to the advancement of FSP for producing high-performance, lightweight, and corrosion-resistant aluminum composites, particularly for marine applications.
URI: http://hdl.handle.net/11189/10773
ISSN: 2073-4352 (Online)
DOI: https://doi.org/10.3390/cryst15010034
Appears in Collections:FID - Journal Articles (DHET subsidised)

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