Tribological behavior of friction stir process surface hybrid composite AA5083/MWCNT/Al2SiO5 using multi-quadratic RBF algorithm

Samuel Ratna Kumar P. S.; Vaira Vignesh R.; Mashinini P. M.; Ramanathan S.

doi:10.1007/s42823-023-00577-1

Tribological behavior of friction stir process surface hybrid composite AA5083/MWCNT/Al2SiO5 using multi-quadratic RBF algorithm

Carbon Letters
Abbr : Carbon Lett.
2023, 33(7), pp.2363-2377
DOI : 10.1007/s42823-023-00577-1
Publisher : Korean Carbon Society
Research Area : Natural Science > Natural Science General > Other Natural Sciences General
Received : February 6, 2023
Accepted : June 17, 2023
Published : December 1, 2023

Samuel Ratna Kumar P. S. ¹, Vaira Vignesh R. ², Mashinini P. M. ¹, Ramanathan S. ³

¹Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, Johannesburg, South Africa
²Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India
³Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India

Accredited

ABSTRACT

The present research focuses on the tribological behavior of the AA5083 alloy-based hybrid surface composite using aluminosilicate and multi-walled-carbon nanotube through friction stir processing for automotive applications. The friction stir processing parameters (tool rotation and traverse speed) are varied based on full factorial design to understand their influence on the tribological characteristics of the developed hybrid composite. The surface morphology and composition of the worn hybrid composite are examined using a field-emission scanning electron microscope and an energy-dispersive x-ray spectroscope. No synergistic interaction is observed between the wear rate and friction coefficient of the hybrid composite plate. Also, adhesive wear is the major wear mechanism in both base material and hybrid composite. The influence of friction stir process parameters on wear rate and the friction coefficient is analyzed using the hybrid polynomial and multi-quadratic radial basis function. The models are utilized to optimize the friction stir processing parameters for reducing the rate of wear and friction coefficient using multi-quadratic RBF algorithm optimization.

KEYWORDS

RBF algorithm Optimization FSP Al2SiO5 CNT Wear

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Carbon Letters 2023 KCI Impact Factor : 1.35 KCI-WoS Impact Factor : 6.04

Tribological behavior of friction stir process surface hybrid composite AA5083/MWCNT/Al2SiO5 using multi-quadratic RBF algorithm

ABSTRACT

KEYWORDS

Citation status

This is the result of checking the information with the same ISSN, publication year, volume, and start page between the WoS and the KCI journals. (as of 2024-07-26)

Total Citation Counts(KCI+WOS) (3) This is the number of times that the duplicate count has been removed by comparing the citation list of WoS and KCI.

Scopus Citation Counts (6) This is the result of checking the information with the same ISSN, publication year, volume, and start page between articles in KCI and the SCOPUS journals. (as of 2025-01-01)

* References for papers published after 2023 are currently being built.

Carbon Letters 2023 KCI Impact Factor : 1.35 KCI-WoS Impact Factor : 6.04

Tribological behavior of friction stir process surface hybrid composite AA5083/MWCNT/Al2SiO5 using multi-quadratic RBF algorithm

ABSTRACT

KEYWORDS

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WoS Citation Counts (3) This is the result of checking the information with the same ISSN, publication year, volume, and start page between the WoS and the KCI journals. (as of 2024-07-26)

Total Citation Counts(KCI+WOS) (3) This is the number of times that the duplicate count has been removed by comparing the citation list of WoS and KCI.

Scopus Citation Counts (6) This is the result of checking the information with the same ISSN, publication year, volume, and start page between articles in KCI and the SCOPUS journals. (as of 2025-01-01)

REFERENCES (28) * References for papers published after 2023 are currently being built.

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Citation

This is the result of checking the information with the same ISSN, publication year, volume, and start page between the WoS and the KCI journals. (as of 2024-07-26)

* References for papers published after 2023 are currently being built.