You are here

Physics-Based Prediction of Residual Stresses for Fatigue and Fatigue Crack Growth Life Assessment

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-5148
Agency Tracking Number: F191-091-0305
Amount: $149,983.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF191-091
Solicitation Number: 19.1
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-07-19
Award End Date (Contract End Date): 2020-07-19
Small Business Information
2545 Farmers Drive Suite 200
Columbus, OH 43235
United States
DUNS: 789156841
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ravi Shankar
 Director, Project Development
 (614) 451-8330
 rshankar@deform.com
Business Contact
 Wei-Tsu Wu
Phone: (614) 451-8322
Email: wwu@deform.com
Research Institution
N/A
Abstract

Surface enhancement processes such as conventional shot peening (SP) and laser shot peening (LSP) processes imparts compressive stresses on the surface of the components, which helps to improve the fatigue life. But, overpeening of the component might introduce undesired tensile stresses near the sub-surface of the component, which may promote accelerated fatigue damage and fatigue crack growth behavior. During Phase I part of this project, we propose to investigate appropriate modeling techniques for modeling laser shot peening process and identify the requirements for developing a robust and computationally efficient model. We propose to extend the existing conventional shot peen modeling capability in finite element method based process modeling system, DEFORM to include sensitivity analysis and demonstrate the impact of variabilities associated with the shot peen processing conditions on the predicted surface residual stress profiles. Predicted surface stress profiles will be passed on to DARWIN. We will demonstrate the feasibility of linking DEFORM near surface stress predictions from conventional shot peen process with DARWIN’s life and risk assessment models. Additionally, we will investigate appropriate damage models in the assessment of fatigue life due to surface treatment process such as conventional shot peening and laser shot peening processes.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government