Corrosion, optimization and surface analysis of Fe-Al2O3-CeO2 metal matrix nanocomposites

Pallav Gupta; Naseem Ahamad; Jimmy Mehta; Devendra Kumar; Mumtaz A. Quraishi; Moti L. Rinawa; Sumit Gupta; Vijay Chaudhary; Kishor K. Sadasivuni

doi:10.1177/09544062211047844

Corrosion, optimization and surface analysis of Fe-Al₂O₃-CeO₂ metal matrix nanocomposites

Pallav Gupta^*
, Naseem Ahamad
, Jimmy Mehta
, Devendra Kumar
, Mumtaz A. Quraishi
, Moti L. Rinawa
, Sumit Gupta
, Vijay Chaudhary
, Kishor K. Sadasivuni^*

^*Corresponding author for this work

Interdisciplinary Research Center for Advanced Materials

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

In the present work, metal matrix nanocomposites are being prepared using Fe as base material reinforced with Al₂O₃ and doped with CeO_2. Nanocomposite specimens were synthesized using powder metallurgy technique. Tafel Polarization, Corrosion Behavior and its optimization using Analysis of Variance (ANOVA) as well as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) along with Phase and Microstructure of prepared samples have been investigated. It was observed that corrosion rate and corrosion current density was highest for pure Fe samples whereas 1.0% CeO₂ doped Fe-Al₂O₃ metal matrix nanocomposite system showed the formation of nano amorphous layer on the specimen surface. Analysis of Variance shows that the different compositions of samples have changed outcome on corrosion behavior. Technique for Order of Preference by Similarity to Ideal Solution analysis shows ordered preference of sample as per the readings of corrosion rate.

Original language	English
Pages (from-to)	4346-4356
Number of pages	11
Journal	Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Volume	236
Issue number	8
DOIs	https://doi.org/10.1177/09544062211047844
State	Published - Apr 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2021.

Keywords

ANOVA
Metal matrix nanocomposites
TOPSIS
corrosion
sintering

ASJC Scopus subject areas

Mechanical Engineering

Access to Document

10.1177/09544062211047844

Cite this

Gupta, P., Ahamad, N., Mehta, J., Kumar, D., Quraishi, M. A., Rinawa, M. L., Gupta, S., Chaudhary, V., & Sadasivuni, K. K. (2022). Corrosion, optimization and surface analysis of Fe-Al₂O₃-CeO₂ metal matrix nanocomposites. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 236(8), 4346-4356. https://doi.org/10.1177/09544062211047844

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title = "Corrosion, optimization and surface analysis of Fe-Al2O3-CeO2 metal matrix nanocomposites",

abstract = "In the present work, metal matrix nanocomposites are being prepared using Fe as base material reinforced with Al2O3 and doped with CeO2. Nanocomposite specimens were synthesized using powder metallurgy technique. Tafel Polarization, Corrosion Behavior and its optimization using Analysis of Variance (ANOVA) as well as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) along with Phase and Microstructure of prepared samples have been investigated. It was observed that corrosion rate and corrosion current density was highest for pure Fe samples whereas 1.0\% CeO2 doped Fe-Al2O3 metal matrix nanocomposite system showed the formation of nano amorphous layer on the specimen surface. Analysis of Variance shows that the different compositions of samples have changed outcome on corrosion behavior. Technique for Order of Preference by Similarity to Ideal Solution analysis shows ordered preference of sample as per the readings of corrosion rate.",

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author = "Pallav Gupta and Naseem Ahamad and Jimmy Mehta and Devendra Kumar and Quraishi, \{Mumtaz A.\} and Rinawa, \{Moti L.\} and Sumit Gupta and Vijay Chaudhary and Sadasivuni, \{Kishor K.\}",

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Gupta, P, Ahamad, N, Mehta, J, Kumar, D, Quraishi, MA, Rinawa, ML, Gupta, S, Chaudhary, V & Sadasivuni, KK 2022, 'Corrosion, optimization and surface analysis of Fe-Al₂O₃-CeO₂ metal matrix nanocomposites', Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 236, no. 8, pp. 4346-4356. https://doi.org/10.1177/09544062211047844

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T1 - Corrosion, optimization and surface analysis of Fe-Al2O3-CeO2 metal matrix nanocomposites

AU - Gupta, Pallav

AU - Ahamad, Naseem

AU - Mehta, Jimmy

AU - Kumar, Devendra

AU - Quraishi, Mumtaz A.

AU - Rinawa, Moti L.

AU - Gupta, Sumit

AU - Chaudhary, Vijay

AU - Sadasivuni, Kishor K.

PY - 2022/4

Y1 - 2022/4

N2 - In the present work, metal matrix nanocomposites are being prepared using Fe as base material reinforced with Al2O3 and doped with CeO2. Nanocomposite specimens were synthesized using powder metallurgy technique. Tafel Polarization, Corrosion Behavior and its optimization using Analysis of Variance (ANOVA) as well as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) along with Phase and Microstructure of prepared samples have been investigated. It was observed that corrosion rate and corrosion current density was highest for pure Fe samples whereas 1.0% CeO2 doped Fe-Al2O3 metal matrix nanocomposite system showed the formation of nano amorphous layer on the specimen surface. Analysis of Variance shows that the different compositions of samples have changed outcome on corrosion behavior. Technique for Order of Preference by Similarity to Ideal Solution analysis shows ordered preference of sample as per the readings of corrosion rate.

AB - In the present work, metal matrix nanocomposites are being prepared using Fe as base material reinforced with Al2O3 and doped with CeO2. Nanocomposite specimens were synthesized using powder metallurgy technique. Tafel Polarization, Corrosion Behavior and its optimization using Analysis of Variance (ANOVA) as well as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) along with Phase and Microstructure of prepared samples have been investigated. It was observed that corrosion rate and corrosion current density was highest for pure Fe samples whereas 1.0% CeO2 doped Fe-Al2O3 metal matrix nanocomposite system showed the formation of nano amorphous layer on the specimen surface. Analysis of Variance shows that the different compositions of samples have changed outcome on corrosion behavior. Technique for Order of Preference by Similarity to Ideal Solution analysis shows ordered preference of sample as per the readings of corrosion rate.

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