Predicting Microstructure from Thermal History during Additive Manufacturing for Ti-6Al-4V

Jeff Irwin, Edward W. Reutzel, Pan Michaleris, Jay Keist, Abdalla R. Nassar

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Due to the repeated thermal cycling that occurs with the processing of each subsequent layer, the microstructure of additively manufactured parts undergoes complex changes throughout the deposition process. Understanding and modeling this evolution poses a greater challenge than for single-cycle heat treatments. Following the work of Kelly and Charles, a Ti-6Al-4V microstructural model has been developed which calculates the phase fractions, morphology, and alpha lath width given a measured or modeled thermal history. Dissolution of the alpha phase is modeled as 1D plate growth of the beta phase, while alpha growth is modeled by the technique of Johnson-Mehl-Avrami (JMA). The alpha phase is divided into colony and basketweave morphologies based on an intragranular nucleation temperature. Evolution of alpha lath width is calculated using an Arrhenius equation. Key parameters of the combined Kelly-Charles model developed here are optimized using the Nelder-Mead simplex algorithm. For the deposition of two L-shaped geometries with different processing parameters, the optimized model gives a mean error over 24 different locations of 37% relative to experimentally measured lath widths, compared to 106% for the original Kelly-Charles model.

Original languageEnglish (US)
Article number111007
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume138
Issue number11
DOIs
StatePublished - Nov 1 2016

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Predicting Microstructure from Thermal History during Additive Manufacturing for Ti-6Al-4V'. Together they form a unique fingerprint.

Cite this