Effect of Quenching Media and Tempering Temperature on Fatigue Property and Fatigue Life Estimation Based on RBF Neural Network of 0.44t% Carbon Steel
2019
Abstract. In this work, the effect of the quenching media (brine,
water, and two types of naphthenic mineral oils) and the tempering
temperature (200, 400, 600 ∘ C) on the static mechanical properties
and the fatigue life has been investigated using 300 fatigue and 36 static
tension tests. S–N curves and standard deviations of fatigue life under each
heat treatment condition were calculated and shown. The fracture surfaces of
the selected 11 specimens were observed by the scanning electron microscope
and the reasons of affecting the fatigue life were discussed. To estimate
the mean fatigue life under the conditions of any given tempering
temperature and cycle stress amplitude based on 300 fatigue tests, the mean
fatigue life estimation method based on RBF neural network was presented and
verified by 12 other fatigue tests. The test results have shown that (1) the
mean fatigue life decreases with the increase of tempering temperature for
the same quenching media, (2) the mean fatigue life using brine is more than
water which is more than naphthenic mineral oils for the same tempering
temperature, and (3) the proposed method based on RBF neural network could
accurately estimate the mean fatigue life when the tempering temperature and
cyclic stress amplitude are given for each quenching medium.
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