Finite Fatigue Life Prediction of Additively Manufactured Aircraft Engine Turbine Blade with Respect to Internal Defect Size and Location

Abstract

Current fatigue life modeling techniques with respect to defects emphasize the dependence on the defect size with respect to fatigue life, but does not account for the effects of where a defect might be located. This research outlines a process to include defect location into the model analysis for a more precise prediction of the number of cycles to failure and where the finial failure could occur within a component. The focus is on a turbine blade structure using IN718 subjected to a pure vibratory load. The basic model predicts component life using a stress map from the frequency analysis of the developed Finite Element Model (FEM) and synthetically generated defect sizes and location. Test specimen printed in IN718 are used to create experimental data to validate the model parameters, defect distributions, and predictions. The proposed results will be a map denoting the critical locations that may cause failure and predictions of fatigue life when both defect size and location are taken into consideration.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2022
Accession Number
AD1182550

Entities

People

  • Daniel G. Miller

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Additive Manufacturing
  • Air Force
  • Aluminum Alloys
  • Computer-Aided Design
  • Fabrication
  • Manufacturing
  • Materials
  • Materials Engineering
  • Materials Science
  • Measurement
  • Mechanical Properties
  • Mechanical Working
  • Mechanics
  • Selective Laser Sintering
  • Stress Strain Relations
  • Test And Evaluation
  • Turbines
  • X-Ray Computed Tomography

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Structural Health Monitoring of Composite Structures.