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A Novel Computational Method of Processing Map for Ti-6Al-4V Alloy and Corresponding Microstructure Study.

Ming Hu1,2, Limin Dong3, Zhiqiang Zhang4

  • 1Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), Northeastern University, Shenyang 110819, China. mhu13s@imr.ac.cn.

Materials (Basel, Switzerland)
|September 5, 2018
PubMed
Summary

This study introduces a new processing map for Ti-6Al-4V alloy, identifying an optimal domain for dynamic recrystallization (DRX) at 850–925 °C and 0.001–0.1 s⁻¹. It also highlights processing conditions to avoid flow localization.

Keywords:
Ti-6Al-4V alloyhot deformationmicrostructureprocessing map

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Area of Science:

  • Materials Science
  • Metallurgy
  • Computational Modeling

Background:

  • Arrhenius-type constitutive equations are standard for material flow behavior.
  • Processing maps, crucial for optimizing material processing, have not been directly derived from these equations.
  • Ti-6Al-4V alloy is a widely used material in aerospace and biomedical applications, necessitating optimized processing techniques.

Purpose of the Study:

  • To develop a novel computational method for constructing a processing map for Ti-6Al-4V alloy.
  • To identify optimal processing parameters for Ti-6Al-4V based on its flow behavior and microstructural evolution.
  • To delineate processing domains to be avoided due to material instability and undesirable microstructural features.

Main Methods:

  • Application of a novel computational method to establish a processing map for Ti-6Al-4V.
  • Analysis of material behavior across a temperature range of 800–1050 °C and strain rates of 0.001–10 s⁻¹.
  • Identification of distinct processing domains based on graphic features, efficiency (η), and instability (ξ) parameters.

Main Results:

  • The processing map for Ti-6Al-4V was successfully established, revealing four distinct domains.
  • The optimal processing domain was identified within 850–925 °C and 0.001–0.1 s⁻¹, characterized by peak efficiency (η = 0.54) and dynamic recrystallization (DRX).
  • Processing in the α + β phase field at 800–850 °C and 3–10 s⁻¹ leads to flow localization (negative ξ) and should be avoided. In the β phase field, 1000–1050 °C and 1–10 s⁻¹ also results in flow localization.

Conclusions:

  • A new computational approach enables the direct construction of processing maps from Arrhenius-type constitutive equations.
  • The identified optimal domain (850–925 °C, 0.001–0.1 s⁻¹) promotes dynamic recrystallization (DRX) for enhanced Ti-6Al-4V processing.
  • Specific temperature and strain rate ranges within both α + β and β phase fields are associated with flow instability and should be avoided to prevent defects.