|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||An ICME workflow to assess the process sensitivity of the heat treatment of IN718
||Taiwu Yu, Thomas Barkar, Carl-Magnus Lancelot , Paul Mason
|On-Site Speaker (Planned)
In developing workflows to describe the process-structure-property relationships, the first step is to calibrate the models producing the best fit to experimental data. Once this is attained, the value of ICME is the ability to vary the process variables to understand the sensitivity of the simulation to different processing conditions and chemistry variations.
In this example, a Python enabled workflow is used to combine thermodynamic, kinetic and precipitation calculations to simulate the microstructure in terms of the nucleation and growth of the secondary phases which are then correlated with a simplified yield strength model to predict the precipitate, grain boundary and solid solution strengthening. Model variables are adjusted to give the best fit to experimental data and the framework is then used to adjust different processing conditions such as solution annealing temperature, aging temperature and holding time to assess the sensitivity to process variables and chemistry variation.