Prediction of Fatigue Strength of High-Strength Steels Based on Statistical Evaluation of Inclusion Size
Prediction of Fatigue Strength of High-Strength Steels Based on Statistical Evaluation of Inclusion Size
复制标题
基于夹杂物尺寸统计评估的高强度钢疲劳强度预测
DOI：
10.1299/kikaia.55.213
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发表时间：
1989
期刊：
影响因子：
--
通讯作者：
Usuki Hisafumi
中科院分区：
文献类型：
--
作者：
M. Yukitaka;敬宜 村上;尚史 宇宿;Usuki Hisafumi
考虑了硬度和非金属夹杂物对疲劳强度的综合影响，定量分析了疲劳强度较低和疲劳强度分散较大的原因。从断裂力学的角度看，非金属夹杂物相当于细小的缺陷或裂纹。非金属夹杂物对疲劳强度的影响取决于其存在的尺寸、形状和位置，这是造成疲劳极限散射较大的原因。然而，可以通过基体的硬度（Hv）和夹杂物的最大尺寸（√（面积）max）（由夹杂物投影面积的平方根定义）来预测疲劳强度的上限（σwu）和下限（σwl）。在一定数量的试样或机器部件中，√（面积）max的期望值可以通过极值统计来估计。
The reasons for relatively low fatigue strength and large scatter of fatigue strength were quantitatively elucidated considering the combined effects of hardness and nonmetallic inclusions on fatigue strength. Nonmetallic inclusions are equivalent to small defects or cracks from the viewpoint of fracture mechanics. The effects of nonmetallic inclusions on fatigue strength depend on their size, shape and location where they exist, and this becomes the cause of large scatter of the fatigue limit. However, it is possible to predict the upper (σwu) and lower limits (σwl) of the fatigue strength from the hardness (Hv) of a matrix and the maximum size of inclusions (√(area)max) defined by the square root of the projected area of an inclusion. The expected value of √(area)max in a definite number of specimens or machine components can be estimated by statistics of extreme values.