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Analysis and optimisation of parent grain reconstruction for additively manufactured Ti-6Al-4V

  • Lu Yang
  • , Saranarayanan Ramachandran
  • , Axieh Bagasol
  • , Fan Wu
  • , Qiyu Guan
  • , David J. Browne
  • , Denis Dowling
  • , Wajira Mirihanage*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

During solidification processing, most common titanium alloys solidify as high-temperature parent phase and it subsequently transforms into the room-temperature child phase. This parent to child transformation occurred as a solid-state transformation. Even though the parent phase is not observable at room temperature, it is considerably associated with solidification defects such as porosity. Parent grain reconstruction based on Burgers orientation relationship, which shows the crystallographic relationship between two phases, has been applied to examine the high temperature and transitional parent phases of titanium alloys and steels. This contribution presents the reconstructed high temperature parent phase and the sensitivity analysis related to a series of parameters for three crucial parent phase reconstruction steps for additively manufactured titanium alloy Ti-6Al-4V. The analysis examines the reconstruction, merging of very small and neighbouring grains together, and finally cleaning of inclusive noise, which referred as inclusions during the rendering process of the parent phase. The analysis offers an instruction for threshold selection that enables optimised parent phase reconstruction.
Original languageEnglish
Pages (from-to)91-102
Number of pages12
JournalInternational Journal of Lightweight Materials and Manufacture
Volume9
Issue number1
Early online date5 Aug 2025
DOIs
Publication statusPublished - 1 Jan 2026

Funding

Peer review under the responsibility of Editorial Board of International Journal of Lightweight Materials and Manufacture.The authors acknowledge grants from EPSRC, UK (Grant No. EP/R031711/1), Science Foundation Ireland (Grant Number 16/RC/3872) and the SMART Eureka project APEMAM.

Keywords

  • solidification processing
  • additive manufacturing
  • reconstruction

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