Advanced Quantitative Analysis of Dynamic Recovery during Warm Working of FCC Alloys

Open Access

Year : 2023 | Volume : | : | Page : –
By

Prantik Mukhopadhyay,

  1. Scientist Electron Microscopy Group, Defence Metallurgical Research Laboratory, Kanchanbagh Telangana India

Abstract

Metal working processes of warm working require an advanced quantitative analysis of dynamic and static recovery of dislocations to control microstructures and crucial shape forming properties. Feasibility of dynamic recovery by thermal glide and static recovery by climb of constricted jogs, applicable to ausforming, nano bulk forming by SPD and normalizing has been addressed to design new steels, used for hulls, and tribologically superior bearings. Predictive dislocation recovery analysis shows Taylor factor as an important dynamic recovery controller for mean dislocation dynamics and crystallographic orientation dependent dislocation dynamics to govern work hardening and recovery strain rate of materials. Taylor factor has been defined as glide plane specific stacking fault energy. In contrast to static recovery by climb, present mechanism has found that less stacking fault energy will have enhanced dynamic recovery kinetics. Predicted recovery kinetics has been qualitatively validated by frequency of low angle boundaries, formed during ausforming and normalizing, in regard to Taylor factors of crystallographic orientations of retained austenite, detected by EBSD.

Keywords: Aluminium alloys, ausforming, Bainitic steel, dislocation dynamics and recovery, FCC alloys, SPD

How to cite this article: Prantik Mukhopadhyay. Advanced Quantitative Analysis of Dynamic Recovery during Warm Working of FCC Alloys. Journal of Materials & Metallurgical Engineering. 2023; ():-.
How to cite this URL: Prantik Mukhopadhyay. Advanced Quantitative Analysis of Dynamic Recovery during Warm Working of FCC Alloys. Journal of Materials & Metallurgical Engineering. 2023; ():-. Available from: https://journals.stmjournals.com/jomme/article=2023/view=90297

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Open Access Article
Volume
Received January 28, 2022
Accepted March 5, 2022
Published January 5, 2023