Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN

The effects of the percentage volume of reinforcement, the ratio of reinforcement, and the matrix size of particles on the wear behavior of AA5052/B4C metal matrix composites (MMCs) examine. This research examines a model function developed from an artificial neural network (ANN). AA5052/B4C composi...

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Main Authors: D. Dinesh Kumar, A. Balamurugan, K. C. Suresh, R. Suresh Kumar, N. Jayanthi, T. Ramakrishnan, S. K. Hasane Ahammad, S. Mayakannan, S. Venkatesa Prabhu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2023/2554098
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author D. Dinesh Kumar
A. Balamurugan
K. C. Suresh
R. Suresh Kumar
N. Jayanthi
T. Ramakrishnan
S. K. Hasane Ahammad
S. Mayakannan
S. Venkatesa Prabhu
author_facet D. Dinesh Kumar
A. Balamurugan
K. C. Suresh
R. Suresh Kumar
N. Jayanthi
T. Ramakrishnan
S. K. Hasane Ahammad
S. Mayakannan
S. Venkatesa Prabhu
author_sort D. Dinesh Kumar
collection DOAJ
description The effects of the percentage volume of reinforcement, the ratio of reinforcement, and the matrix size of particles on the wear behavior of AA5052/B4C metal matrix composites (MMCs) examine. This research examines a model function developed from an artificial neural network (ANN). AA5052/B4C composites bent using a powder metallurgy technique to hardness and ball-on-disc wear testing. There are two exemptions such as (1) when the percentage volume of reinforcement is less than 8% and (2) when the ratio of reinforcement particle size (Rs) and matrix particle size (Ms) increases before decreasing. The results show that wear loss decreases with increasing percentage volume of reinforcement and ratio of Rs and Ms. In the second case, wear loss is increased at high levels of percentage volume (14%) since the proportion of reinforcement and matrix size of the particle is close to 1. When the volume percentage of reinforcement is high (14%) and the matrix and reinforcement particle sizes are substantial (120 m), the reinforcement particles become dislodged and break. Because these broken-up particles are easily removed from the surface, the material’s wear resistance is reduced. In this case, raising the volume fraction yields a uniformly higher hardness for all Rs/Ms values; hence, composites with lower reinforcement volume percentages show better wear resistance. Hardness and wear resistance have no relationship with one another.
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spelling doaj-art-5d63b6abf22848189ad4260a52081b6c2025-02-03T01:29:27ZengWileyJournal of Chemistry2090-90712023-01-01202310.1155/2023/2554098Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANND. Dinesh Kumar0A. Balamurugan1K. C. Suresh2R. Suresh Kumar3N. Jayanthi4T. Ramakrishnan5S. K. Hasane Ahammad6S. Mayakannan7S. Venkatesa Prabhu8Department of Electronics and Instrumentation EngineeringDepartment of PhysicsDepartment of PhysicsDepartment of Mechanical EngineeringDepartment of PhysicsDepartment of Mechanical EngineeringDepartment of Electronics and Communication EngineeringDepartment of Mechanical EngineeringCenter of Excellence for Bioprocess and BiotechnologyThe effects of the percentage volume of reinforcement, the ratio of reinforcement, and the matrix size of particles on the wear behavior of AA5052/B4C metal matrix composites (MMCs) examine. This research examines a model function developed from an artificial neural network (ANN). AA5052/B4C composites bent using a powder metallurgy technique to hardness and ball-on-disc wear testing. There are two exemptions such as (1) when the percentage volume of reinforcement is less than 8% and (2) when the ratio of reinforcement particle size (Rs) and matrix particle size (Ms) increases before decreasing. The results show that wear loss decreases with increasing percentage volume of reinforcement and ratio of Rs and Ms. In the second case, wear loss is increased at high levels of percentage volume (14%) since the proportion of reinforcement and matrix size of the particle is close to 1. When the volume percentage of reinforcement is high (14%) and the matrix and reinforcement particle sizes are substantial (120 m), the reinforcement particles become dislodged and break. Because these broken-up particles are easily removed from the surface, the material’s wear resistance is reduced. In this case, raising the volume fraction yields a uniformly higher hardness for all Rs/Ms values; hence, composites with lower reinforcement volume percentages show better wear resistance. Hardness and wear resistance have no relationship with one another.http://dx.doi.org/10.1155/2023/2554098
spellingShingle D. Dinesh Kumar
A. Balamurugan
K. C. Suresh
R. Suresh Kumar
N. Jayanthi
T. Ramakrishnan
S. K. Hasane Ahammad
S. Mayakannan
S. Venkatesa Prabhu
Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN
Journal of Chemistry
title Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN
title_full Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN
title_fullStr Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN
title_full_unstemmed Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN
title_short Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN
title_sort study of microstructure and wear resistance of aa5052 b4c nanocomposites as a function of volume fraction reinforcement to particle size ratio by ann
url http://dx.doi.org/10.1155/2023/2554098
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