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

• Published in: 3D printing and additive manufacturing Vol. 10; no. 1; pp. 136 - 145
• Main Authors: Zhong, Chongliang, Narayana Samy, Venkatesh Pandian, Pirch, Norbert, Gasser, Andres, Phanikumar, Gandham, Schleifenbaum, Johannes Henrich
• Format: Journal Article
• Language: English
• Published: United States Mary Ann Liebert, Inc., publishers 01.02.2023
• Subjects: Original; Original Articles; DICTRA; IN718; LMD; heat treatment; simulation; FEM
• ISSN: 2329-7662; 2329-7670
• DOI: 10.1089/3dp.2021.0115

Laser metal deposited processed Ni-based superalloy IN718 is characterized by elemental micro-segregation, anisotropy, and Laves phases due to the rapid solidification and therefore needs homogenization heat treatment to achieve comparable properties of wrought alloys. In this article, we report a simulation-based methodology to design heat treatment IN718 in a laser metal deposition (LMD) process by using Thermo-calc. Initially, the finite element modeling simulates the laser melt pool to compute the solidification rate (G) and temperature gradient (R). Then, the primary dendrite arm spacing (PDAS) is computed through Kurz-Fisher and Trivedi modeling integrated with finite element method (FEM) solver. Later, a DICTRA homogenization model based on the PDAS input values computes the homogenization heat treatment time and temperature. The simulated time scales are verified for two different experiments with contrast laser parameters and are found to be in good agreement confirmed with the results from scanning electron microscopy. Finally, a methodology for integrating the process parameter with the heat treatment design is developed, and a heat treatment map for IN718 is generated that can be integrated with an FEM solver for the first time in the LMD process.