Probalistic Stress Rupture Life Analysis of Turbine Blades

Abstract

The on-going effort to improve the efficiency of gas-powered turbines has facilitated incremental increases in the temperature and stress imposed on turbine components, such as blades, vanes, etc. The incipient failure of blades subjected to mechanical loads of 60 MPa to 950 MPa and temperatures up to 600°C or higher lead to failure manifesting in irreparable damage to the entire engine system. One of the primary failure modes of turbine blades is creep, which is facilitated by the high temperature at the turbine inlet coupled with the centrifugal stresses. This thesis will employ a probabilistic design approach to better assess the probability of failure due to creep rupture rather than accepting an unknown level of risk associated with the creep stress rupture criteria used for the deterministic analysis. NESSUS will be used to perform probabilistic analysis in order to predict the life and probability of failure of internally-cooled turbine blades due to creep rupture. Probabilistic analysis of the simulation results from this thesis will provide a probability distribution of the creep rupture lives and their sensitivity to the input variables for manufacturing, operational, thermal load and material property variations. It will predict the distribution of blade creep lives for a population of engines as well as determine the most sensitive input variables. This study will also be significant in determining and evaluating the effects of parameters that control component life and finally assist in improving performance, reducing cost, extending life of the component, and making the design robust.

Notes

This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by STARS for more information.

Thesis Completion

2006

Semester

Fall

Advisor

Gordon, Ali P.

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Degree Program

Mechanical Engineering

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic; Gas turbines -- Blades

Format

Print

Identifier

DP0021994

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

This document is currently not available here.

Share

COinS