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Heat Treatment Design for IN718 by Laser Metal Deposition with High Deposition Rates: Modeling, Simulation, and

Chongliang Zhong1, Venkatesh Pandian Narayana Samy1, Norbert Pirch1

  • 1Fraunhofer Institute for Laser Technology (ILT), Aachen, Germany.

3D Printing and Additive Manufacturing
|March 31, 2023
PubMed
Summary
This summary is machine-generated.

This study presents a simulation method to optimize heat treatment for laser metal deposited IN718 superalloys. The approach accurately predicts homogenization parameters, improving material properties.

Keywords:
DICTRAFEMIN718LMDheat treatmentsimulation

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Area of Science:

  • Materials Science and Engineering
  • Computational Materials Science
  • Additive Manufacturing

Background:

  • Laser metal deposition (LMD) of Ni-based superalloy IN718 results in micro-segregation and Laves phases due to rapid solidification.
  • These microstructural defects necessitate homogenization heat treatment to match the properties of wrought IN718.
  • Designing effective heat treatments for LMD IN718 requires understanding the interplay between process parameters and microstructure evolution.

Purpose of the Study:

  • To develop and validate a simulation-based methodology for designing homogenization heat treatments for LMD IN718.
  • To integrate laser process parameters with heat treatment design for LMD components.
  • To generate a heat treatment map for LMD IN718 for the first time.

Main Methods:

  • Finite element modeling (FEM) to simulate the laser melt pool and determine solidification parameters (G and R).
  • Kurz-Fisher and Trivedi models integrated with FEM to compute primary dendrite arm spacing (PDAS).
  • DICTRA homogenization model utilizing PDAS to calculate optimal heat treatment time and temperature.

Main Results:

  • The simulation methodology successfully predicted homogenization heat treatment parameters for LMD IN718.
  • Simulated time scales showed good agreement with experimental results obtained using scanning electron microscopy.
  • A novel methodology for integrating LMD process parameters with heat treatment design was established.

Conclusions:

  • The simulation-based approach provides an effective tool for designing heat treatments for LMD IN718.
  • The generated heat treatment map can be integrated with FEM solvers, advancing LMD process optimization.
  • This work facilitates achieving wrought-like properties in additively manufactured IN718 components.