Stretch Formability of an AZ61 Alloy Plate Prepared by Multi-Pass Friction Stir Processing

Xicai Luo,Daolun Chen,Limei Kang,Yifei Liu,Haolin Liu,Datong Zhang,Jielin Lin,Dongyang Li

doi:10.3390/ma14123168

Abstract

The stretch formability behavior of an AZ61 magnesium alloy plate produced by multi-pass friction stir processing (M-FSP) was investigated, with the applied load vs. displacement curves recorded during Erichsen cupping tests at different punching speeds at room temperature. The stretch formability of M-FSP AZ61 magnesium alloy was significantly enhanced, compared with that of its cast counterpart. The highest Erichsen index of 3.7 mm was obtained at a punching speed of 0.1 mm/min. The improved stretch formability was mainly attributed to the grain refinement stemming from the M-FSP and the presence of extension twinning to accommodate deformation during Erichsen cupping testing.

Highlights

Magnesium alloy, as a lightweight structural material, has the advantages of low density, high specific strength, good machinability and high recycling potential
Stretch Formability of Multi-Pass Friction Stir Processing (M-Friction stir processing (FSP)) AZ61 Plate of damped samples detected by electron backscatter diffraction (EBSD)
The highest IE value of 3.7 mm for MFSP AZ61 plate was achieved in the Erichsen cupping test at a punching speed of 0.1

Summary

Introduction

As a lightweight structural material, has the advantages of low density, high specific strength, good machinability and high recycling potential It has received considerable attention for the potential applications in the aerospace, automotive and 3C industries. Grain refinement has been proven to be an effective method to improve the mechanical properties of magnesium alloys prepared by severe plastic deformation (SPD) techniques, such as equal-channel angular pressing (EACP), and highpressure torsion (HPT). It is difficult for the EACP and HPT techniques to be widely used in the industrial applications due to the complex processes, high energy consumption, high cost, and limited sample size [3]. This is one of the key barriers in promoting their applications in industry

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