Authors:
Tom Andersson (1); Matti Lindroos (2); Abhishek Biswas (1); Tomi Suhonen (1); Supriya Nandy (1); Anssi Laukkanen (1); Juha Lagerbom (2); Tomi Lindroos (2); Pilar Rey Rodriguez (2)
1- VTT Technical Research Centre of Finland, Espoo, Finland
2- VTT Technical Research Centre of Finland, Tampere, Finland
3- AIMEN Centro Tecnológico, Porriño,Spain
Abstract:
We present a workflow and model prediction of a behaviour for an alloy designed for an application, which require high strength materials, with multiscale material modelling method. Material is designed to have suitable phase composition with CALPHAD-method and neural network tool that is taught with the empirical high entropy alloy design criteria. The material is estimated to be two phase (FCC-BCC) structure in as-build condition and after heat treatment gamma-gamma’ and BCC-B2 structure. Designed alloy is atomized and test specimens are produced with direct energy deposition method. Specimens are heat-treated to get the desired phase composition. Tensile tests and micromechanical characterization are combined with simulation tools to create a micromechanical model that is used for mechanical property and performance simulations. A workflow to combine the different methods in order to assess the performance of the material.
DOI:
https://doi.org/10.59499/EP235764634