Novel Methods for Fatigue Life Prediction for Turbine Engine Components
Abstract
This research was funded via the Air Force Research Laboratory Diverse Collegiate R and D Collaboration Program. It was conducted at the Applied Mechanics and Materials Research Laboratory, Howard University, Washington, DC from September 29, 2017, to March 31, 2022. The overall goal of the project was to develop novel methods fatigue life prediction for turbine engine components. The ultimate aim was to improve the mechanical properties and microstructure of advanced materials produced via additive manufacturing and grain refinement. Objectives of the funded research were modified due to Covid-19pandemic to: i study the influence of geometry on the microstructures and mechanical properties of ultrafine grained aluminum alloys produced via severe plastic deformation, ii investigate the microstructures and mechanical behavior of additively manufactured advanced materials. Electron backscatter diffraction maps demonstrated a significant grain size refinement from 350 um for the base SHT sample to average grain sizes of 1.78um for the 2 cycles, 1.3um for the 4 cycles and 0.94um for the 6 cycles, respectively, as a result of the cryogenic plastic deformation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2022
- Accession Number
- AD1203925
Entities
People
- Gbadebo M. Owolabi
Organizations
- Howard University