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Processing of Bulk Nanocrystalline Metals at the US Army Research Laboratory
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Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain

Christian Gruber1, Peter Raninger1, Aleksandar Stanojevic2

  • 1Materials Center Leoben Forschung GmbH, 8700 Leoben, Austria.

Materials (Basel, Switzerland)
|January 1, 2021
PubMed
Summary
This summary is machine-generated.

A new multi-class grain size model accurately predicts alloy 718 microstructure during forging. This model accounts for dynamic and meta-dynamic recrystallization, improving predictions for aircraft part manufacturing.

Keywords:
alloy 718dynamic recrystallizationhammer forgingmeta-dynamic recrystallizationmicrostructure modelingmulti-class grain sizescrew press

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Area of Science:

  • Materials Science
  • Metallurgy
  • Mechanical Engineering

Background:

  • Forging alloy 718 aircraft parts involves dynamic and meta-dynamic recrystallization, altering microstructure.
  • Existing single-grain fraction models fail to capture complex, multi-modal grain size distributions.

Purpose of the Study:

  • To deploy a multi-class grain size model for improved prediction of recrystallization mechanisms and grain size distributions.
  • To accurately describe microstructural evolution during thermomechanical treatments in alloy 718.

Main Methods:

  • Utilized a multi-class grain size model to simulate recrystallization.
  • Conducted double cone compression experiments to gather data.
  • Verified and adapted model parameters using experimental results.

Main Results:

  • The multi-class model accurately predicts recrystallized fractions, differentiating between dynamic and meta-dynamic recrystallization.
  • Demonstrated strong dependence of recrystallization kinetics on initial grain size.
  • Highlighted the influence of varying strain rates on recrystallization behavior.

Conclusions:

  • The multi-class grain size model offers a more accurate approach to predicting alloy 718 microstructures during forging.
  • Understanding recrystallization kinetics is crucial for optimizing thermomechanical treatments in aircraft component manufacturing.