Abstract
Low cycle fatigue life consumption analysis was carried out in this work. Fatigue cycles accumulation method suitable even if engine is not often shut down was applied together with the modified universal sloped method for estimating fatigue cycles to failure. Damage summation rule was applied to estimate the fatigue damage accumulated over a given period of engine operation. The concept of fatigue factor which indicates how well engine is operated was introduced to make engine life tracking feasible. The developed fatigue life tracking method was incorporated in PYTHIA, Cranfield University in-house software and applied to 8 months of engine operation. The results obtained are similar to those of real engine operation. At a set power level, fatigue life decreases with increase in ambient temperature with the magnitude of decrease greater at higher power levels. The fatigue life tracking methodology developed could serve as a useful tool to engine operators.
Highlights
The hot section components of gas turbines are prone to failure due to creep [1] [2] fatigue [3] [4] and creep-fatigue interaction [5] [6]
The concept of fatigue factor is introduced which tells the wellness of engine operation and makes the engine life tracking feasible
The fatigue life consumption results obtained for the different months are in line with what is obtainable in real engine operations in many other works—higher fatigue life for lower power level operation and vice-versa
Summary
The hot section components of gas turbines are prone to failure due to creep [1] [2] fatigue [3] [4] and creep-fatigue interaction [5] [6]. When the fatigue factor is less than 1, the engine was operated in worse condition but if greater than 1, engine operation is favourable (dictated mainly by the power level and variation of power level) compared to the reference condition This concept will enable engine operators to have an idea of the nature of fatigue life consumption of the engine over a given period of engine operation even if the absolute life estimated is not completely accurate. All the models developed and adopted in this work for blade fatigue life estimation and tracking are incorporated in PYTHIA [20], Cranfield University in-house gas turbine software, to make the life estimation and tracking feasible in a single platform by merely providing engine operation data. The fatigue life of 8 different months of engine operation was estimated and tracked
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