NDLI: A Model to Predict the Resulting Grain Size of Friction-Stir-Processed AZ31 Magnesium Alloy

Content Provider	Springer Nature Link
Author	Darras, Basil M.
Copyright Year	2011
Abstract	One of the most important issues that hinder the widespread use of friction stir (FS) processing, an effective microstructural modification technique, is the lack of accurate predictive tools that enable the selection of suitable processing parameters to obtain the desired grain structure. In this study, a model that is capable of predicting the resulting average grain size of a FS-processed material from process parameters is presented. The proposed model accounts for both dynamic recrystallization and grain growth. Several AZ31 magnesium samples were FS processed in different combinations of rotational and translational speeds. The thermal fields and resulting average grain size were measured, and the effective strain rates were approximated analytically. The results show that the proposed model is capable of predicting the resulting grain size of FS-processed materials.
Starting Page	1243
Ending Page	1248
Page Count	6
File Format	PDF
ISSN	10599495
Journal	Journal of Materials Engineering and Performance
Volume Number	21
Issue Number	7
e-ISSN	15441024
Language	English
Publisher	Springer US
Publisher Date	2011-09-13
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	AZ31 magnesium alloy friction stir processing grain growth grain size thermal histories Tribology, Corrosion and Coatings Engineering Design Characterization and Evaluation of Materials Quality Control, Reliability, Safety and Risk
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Materials Science Mechanical Engineering

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