著者

向山 和孝 花木 宏修 中村 裕紀 境田 彰芳 岡田 憲司 伊藤 勉 菅田 淳 酒井 達雄

出版者

公益社団法人 日本材料学会

雑誌

材料 (ISSN:05145163)

巻号頁・発行日

vol.67, no.2, pp.136-142, 2018-02-15 (Released:2018-02-20)

参考文献数

15

被引用文献数

3 2

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A statistical estimation method of S-N curve for aluminum alloys using their static mechanical properties was proposed. Firstly, S-N data series for aluminum alloys were extracted from "Database on Fatigue Strength of Metallic Materials" published by the Society of Materials Science, Japan (JSMS) and semi-logarithmic curve model was applied as mathematical regression model based on the JSMS standard, "Standard Evaluation Method of Fatigue Reliability for Metallic Materials -Standard Regression Method of S-N Curves-". Secondly, correlations between each pair of regression parameters and static mechanical properties were investigated. Using these correlations, S-N curve for aluminum alloys could be predicted easily from the static mechanical properties. Moreover, using (1) the distribution of regression parameter D and (2) the distribution of fatigue strength at 107 cycles, the percent points for the predicted S-N curve was evaluated. As result, it was confirmed that over 70% of S-N data series of wrought aluminum alloys fall within the range of estimated interval between -3s and +3s, where s means a standard deviation for the parameter of D.

著者

酒井 達雄 中間 好信

出版者

一般社団法人日本機械学会

雑誌

日本機械学會論文集. A編 (ISSN:03875008)

巻号頁・発行日

vol.59, no.563, pp.1656-1662, 1993-07-25

被引用文献数

1 1

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Many kinds of engineering ceramics have been developed and used as parts of mechanical structures. These ceramics are often used as machine parts which are exposed to elevated temperatures. The strength distribution of those materials significantly depends upon the temperature. In this study, distribution characteristics of the flexural strength for alumina ceramics were examined at the temperatures of room temperature (RT), 800℃, 1000℃ and 1200℃, respectively. Based on the temperature dependence of distribution parameters, the Probability-Strength-Temperature characteristics were quantitatively analysed. An analytical model for the temperature dependence of the strength distribution was finally proposed by introducing the defect sensitivity and its temperature dependence. Analytical results thus obtained were in good agreement with the experimental aspect of the strength distributions.