Abstract

The wear characteristics of Aluminium AA 5083/SiC/Fly Ash functional composites under different load conditions are an important aspect to assess the inoculation of Fly Ash for enhancing the functionality of the aluminium composites with respect to its tribological behaviour and its influence on wear properties. The present work is majorly aimed at the development of AA 5083/SiC functional composites inoculated with Fly Ash using stir casting method for different blends of the reinforcements (2.5, 5 & 7.5 wt%). The novelty of this research is majorly attributed to the incorporation of functional inoculants in the form of Fly Ash, which along with the SiC is bound to influence the tribological characteristics of the composites. The wear characteristics of these fabricated composites have been investigated considering various process parameters viz., the load, sliding distance, sliding velocity, wt% of SiC and wt% of Fly Ash, based on the operational requirements of the composites in real time considered from the earlier research studies and the influence of each parameter on the wear rate is discussed. Based on the different wear regimes obtained after characterization of the samples at different load conditions, Analysis of Variance (ANOVA) is carried out for each blend of the samples to statistically validate the experimental outcomes. The results have given sufficient substantiation to the fact that wear rate decreases with the inoculation. The wear rate and coefficient of friction (COF) is minimum viz., 0.00095 mm3/m, and 0.301 respectively for L9 experimental trial, i.e., for the composite specimens synthesized by reinforcing 7.5 wt% SiC, and 7.5 wt% Fly Ash for a load of 20 N, sliding velocity of 6 m s−1, and a sliding distance of 3000 m. The results have conferred that micro segregation (coring) of SiC and uniform dispersion of Fly Ash in the matrix enhances its tribological characteristics.

Details

Title
Wear behaviour of aluminium alloy 5083/SiC/fly ash inoculants based functional composites – optimization studies
Author
Santhosh, N 1 ; Praveena, B A 2 ; Chandrashekar, A 3   VIAFID ORCID Logo  ; Mohanavel, V 4   VIAFID ORCID Logo  ; Raghavendra, S 5 ; Basheer, Dadapeer 6 

1  Department of Mechanical Engineering, MVJ College of Engineering, Bangalore—560 067, India 
2  Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology , Bangalore—560 064, India 
3  Department of Mechanical Engineering, Bangalore Institute of Technology , Bangalore—560 004, India 
4  Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research , Chennai—600 073, Tamil Nadu, India; Department of Mechanical Engineering, Chandigarh University , Mohali-140413, Punjab, India 
5  Department of Mechanical Engineering, Sai Vidya Institute of Technology , Bangalore—560064, India 
6  Department of Mechanical Engineering, Haramaya Institute of Technology , Haramaya University, P O 138, Dire-Dawa, Ethiopia 
First page
076513
Publication year
2022
Publication date
Jul 2022
Publisher
IOP Publishing
e-ISSN
20531591
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1088/2053-1591/ac8229
ProQuest document ID
2696502474
Copyright
© 2022 The Author(s). Published by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.