In the present investigation temperature dependence fatigue strength
behaviour of Inconel 825 super alloys is investigated. Based on the
experimental results different S-N models have been derived and suitable
model for the prediction of fatigue strength have been proposed. An
inverse power and exponential relation between fatigue strength and
absolute temperature is demonstrated. The proposed models are used to
predict the fatigue life using well known Palmgren-Miner rule. Based on
high to low and low to high load steps test data sets under identical
test conditions, Miner rule based statistical damage constant is
stochastically modeled for fatigue life prediction at different level of
probability and validated. The modeling process combines a probabilistic
fatigue damage accumulation and a stress-life-temperature relation
technique.