Effect of hybrid reinforcement and number of passes on microstructure, mechanical and corrosion behavior of WE43 Mg alloy based metal matrix composite

  • Annayath Maqbool*
  • , Nadeem Fayaz Lone
  • , Tariq Ahmad
  • , Noor Zaman Khan
  • , Arshad Noor Siddiquee
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

In this work, a hybrid metal matrix composite with WE43 magnesium alloy as matrix and a hybrid mixture of NiTi, iron, and tin as reinforcement was fabricated using friction stir processing (FSP). The effect of the number of FSP passes on the grain morphology, distribution of reinforced particles, and mechanical properties were evaluated. Scanning electron microscope with energy dispersive spectroscopy was used to study the distribution of reinforced particles, a more uniform distribution was found in the double pass friction stir processed (DP-FSPed) specimen. The grain size was marginally smaller in the DP-FSPed sample compared to the single pass friction stir processed (SP-FSPed) sample. The processed samples showed an increment in hardness values, however, the distribution of hardness values was found uniform in the case of the DP-FSPed specimen, due to better mixing and homogenous distribution of reinforcement particles. The ductility of the DP-FSPed specimen increased by 126 % as compared to the SP-FSPed specimen. The corrosion rate was evaluated using the potentiodynamic polarization test and was found to be higher in the case of the DP-FSPed specimen.

Original languageEnglish
Pages (from-to)170-181
Number of pages12
JournalJournal of Manufacturing Processes
Volume89
DOIs
StatePublished - 3 Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 The Society of Manufacturing Engineers

Keywords

  • Corrosion rate
  • Double pass friction stir processing
  • Ductility
  • Fe particles
  • Shape memory alloy NiTi
  • WE43 magnesium alloy

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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