Optimization and Tribological Properties of Hybridized Palm Kernel Shell Ash and Nano Boron Nitride Reinforced Aluminium Matrix Composites

The tribological properties of hybridized reinforced aluminium matrix composites were optimized using Taguchi and Grey Relational Analysis in conjunction with an L16 orthogonal array. The combination of palm kernel shell ash (PKSA) (0–5 wt. %) along with nano BN reinforcements was taken in interest....

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Bibliographic Details
Published in:Journal of nanomaterials 2022, Vol.2022 (1)
Main Authors: Lokeshwari, M., Sagar, P. Vidya, Kumar, K. Dilip, Thirupathy, D., Subbiah, Ram, Ganeshan, P., Seikh, A. H., Mohammed, S. M. A. K., Christopher, David
Format: Article
Language:English
Subjects:
Abrasion
Aluminum base alloys
Aluminum matrix composites
Ashes
Boron
Boron nitride
Composite materials
Experiments
Friction
Graphite
Kernels
Load
Mechanical properties
Nanomaterials
Optimization
Optimization techniques
Orthogonal arrays
Powder metallurgy
Process controls
Process parameters
Tribology
Variables
Variance analysis
Velocity
Wear
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Summary:The tribological properties of hybridized reinforced aluminium matrix composites were optimized using Taguchi and Grey Relational Analysis in conjunction with an L16 orthogonal array. The combination of palm kernel shell ash (PKSA) (0–5 wt. %) along with nano BN reinforcements was taken in interest. Loads and speeds (500, 750, 1000, and 1250 rpm) were employed as control parameters for the experiment. Using a Taber type abrasion machine, the wear samples were made, and the wear experiments were carried out. Speed and load were more important than the percentage of reinforcements in composites when it came to evaluating wear index and loss of volume. With respect to wear index and volume loss, Taguchi-relational Grey’s analysis identified A3B1C1 (reinforcement=5 wt. %; load=500 g; speed=500 rpm) as the optimal process parameter combination, with a reinforcement of 3 wt. %, load=500 g, and speed=500 rpm being the second-best option. Validation tests have revealed that the anticipated and experiment values at the optimal situations are both within the acceptable range. Performance is influenced more by speed than by load, which is influenced more by the weight percentage of composites, as demonstrated by the application of the Taguchi and Grey Relational Analysis methods.
ISSN:1687-4110
1687-4129
DOI:10.1155/2022/8479012