沉积(地质)
高温合金
有限元法
均质化(气候)
材料科学
激光器
冶金
扫描电子显微镜
温度梯度
解算器
复合材料
微观结构
热力学
光学
计算机科学
物理
沉积物
古生物学
生物多样性
生态学
量子力学
生物
程序设计语言
作者
C. Zhong,Venkatesh Pandian Narayana Samy,Norbert Pirch,Andrés Gasser,Gandham Phanikumar,Johannes Henrich Schleifenbaum
出处
期刊:3D printing and additive manufacturing
[Mary Ann Liebert, Inc.]
日期:2022-01-05
卷期号:10 (1): 136-145
被引量:1
标识
DOI:10.1089/3dp.2021.0115
摘要
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.
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