Advanced Titanium Alloy Fatigue Modeling

M.g Glavicic ,Iuliana Cernatescu,Ian Demptster,Somnath Ghosh,Kayla Calvert,Vikas Saraf,Ravi Shankar,Jon Almer,Fatmata Barrie,William Mulsinski,Seshacharyulu Tamirisakandala,D Legzdina ,T Broderick ,Elizabeth G Burns ,V.c Venkatesh ,Ayman A Salem ,Paul A Shade

doi:10.1051/matecconf/202032111093

Abstract

A summar y of the final progress achieved in two Metals Affordability Initiative (MAI) programs (RR-12 and RR-13) that were funded by the US Air Force to develop the necessary integrated computational materials engineering (ICME) framework, knowledge, and supporting database to model and predict location-specific fatigue properties across the entire titanium supply chain is presented. Validation of this ICME framework which allows for the prediction of location specific low cycle fatigue (LCF) and high cycle fatigue (HCF) behavior on complex production components in electro-polished and shot peened surface conditions will be presented. In addition, validation of a new shot peening capability embedded with the commercial software package DEFORM™ will be presented.

Highlights

The results of the two Metals Affordability Initiative (MAI) programs described were follow-on programs to three previously funded MAI (LAD-2, LAD-4 and RR-10) programs which were aimed at developing and demonstrating titanium microstructure and mechanical tensile property models on the most widely used titanium alloy, Ti-6Al-4V
The programs were successful in the development of a validated set of computational models that predict location-specific low cycle fatigue behavior based upon local microstructure and crystallographic texture in wrought titanium alloy components
The results presented describe the culmination of the combined efforts of a large cross section of the US aerospace supply chain, academics, commercial vendors and the United States Air Force under the Metals Affordability Initiative (MAI) projects that have spanned two decades of effort

Summary

Introduction

The results of the two MAI programs described were follow-on programs to three previously funded MAI (LAD-2, LAD-4 and RR-10) programs which were aimed at developing and demonstrating titanium microstructure and mechanical tensile property models on the most widely used titanium alloy, Ti-6Al-4V. At the conclusion of these successful programs, follow-on work was conducted to develop the necessary databases and models under the same framework (Figure 1b) that would enable the prediction of fatigue properties on electro-polished (RR-12) and shot peened specimens (RR-13).

Results

Conclusion