Microstructure sensitive fatigue life prediction model for SLM fabricated Hastelloy-X

TL;DR

This paper introduces a microstructure-sensitive fatigue life prediction model for SLM-fabricated Hastelloy-X, incorporating grain shape, size, and orientation from experimental data to accurately predict fatigue life and anisotropy.

Contribution

It presents a novel CP-FFT based framework that integrates microstructural details from EBSD data into fatigue life prediction for additive manufactured alloys.

Findings

Accurately predicts fatigue life of SLM Hastelloy-X specimens.

Identifies microstructural origins of fatigue anisotropy.

Requires only two experiments for model calibration.

Abstract

A microstructure-sensitive fatigue life prediction framework based on CP-FFT is proposed to study SLM fabricated Hastelloy-X. The microstructure enters in the model through the shape, size and orientation distributions of grains in the RVEs, which are generated from experimental EBSD data. The framework has been applied to specimens built in two different directions with different polycrystalline microstructures and is able to accurately predict their fatigue life, using just two experiments for calibration. The model reproduces the better fatigue performance found experimentally at high stresses for samples built in transverse direction, identifying the origin of this anisotropy in grain aspect ratios.