Content Provider	Taylor & Francis Online
Author	Chiba, Akihiko Miyoshi, Kento Yamabe-Mitarai, Yoko Matsumoto, Hiroaki Naito, Daiki Yamanaka, Kenta
Abstract	This work identifies microstructural conversion mechanisms during hot deformation (at temperatures ranging from 750 °C to 1050 °C and strain rates ranging from 10−3 s−1 to 1 s−1) of a Ti-5Al-2Sn-2Zr-4Mo-4Cr (Ti-17) alloy with a lamellar starting microstructure and establishes constitutive formulae for predicting the microstructural evolution using finite-element analysis. In the α phase, lamellae kinking is the dominant mode in the higher strain rate region and dynamic globularization frequently occurs at higher temperatures. In the β phase, continuous dynamic recrystallization is the dominant mode below the transition temperature, Tβ (880~890 °C). Dynamic recovery tends to be more active at conditions of lower strain rates and higher temperatures. At temperatures above Tβ, continuous dynamic recrystallization of the β phase frequently occurs, especially in the lower strain rate region. A set of constitutive equations modeling the microstructural evolution and processing map characteristic are established by optimizing the experimental data and were later implemented in the DEFORM-3D software package. There is a satisfactory agreement between the experimental and simulated results, indicating that the established series of constitutive models can be used to reliably predict the properties of a Ti-17 alloy after forging in the (α+β) region.
Starting Page	893
Ending Page	904
Page Count	12
File Format	PDF HTM / HTML
ISSN	14686996 18785514
DOI	10.1080/14686996.2017.1386530
Journal	Science and Technology of Advanced Materials
Volume Number	18
Issue Number	1
Language	English
Publisher	Taylor & Francis
Publisher Date	2017-11-03
Access Restriction	Open
Subject Keyword	Ti-5Al-2Sn-2Zr-4Mo-4Cr alloy Dynamic globularization Microstructural prediction Processing map Finite element simulation 10 Engineering and Structural materials 106 Metallic materials 303 Mechanical / Physical processing 402 Multi-scale modeling 503 TEM, STEM, SEM
Content Type	Text
Resource Type	Article
Subject	Materials Science

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