A356合金疲劳数据的数理统计分析  

Mathematical Statistics Analysis of Fatigue Data for A356 Alloys

作　　者：宋谋胜[1] 晏登扬[1] 

机构地区：[1]铜仁学院物理与电子科学系,贵州铜仁554300

出　　处：《铜仁学院学报》2011年第4期133-138,共6页Journal of Tongren University

基　　金：贵州省科学技术基金项目(J20102016);铜仁学院科研基金项目(TR084)

摘　　要：研究了不同加钛方式和钛含量对A356合金低周疲劳性能的影响,并重点对实验数据进行了数理统计分析,拟合了四种合金的Manson-Confin方程,分析了实验数据的统计可靠性与显著性。结果表明,A356合金低周疲劳寿命对加钛方式不敏感,其疲劳寿命仅受合金中Ti含量影响。无论电解加钛合金还是熔配加钛合金,Ti含量为0.1%的合金较0.14%的合金具有更优异的低周疲劳性能。The effects of Ti-addition methods and Ti contents on the low-cycle fatigue （LCF） properties of A356 alloys were investigated, as well as the mathematical statistics analysis of the experimental data of four alloys was chiefly performed, including their fittings of Manson-Confin equations and the analysis of statistics reliability and significance. It is fotmd that the LCF life of A356 alloys is insensitive to the Ti-addition method, and is only influenced by the Ti content in the alloys. Whether added by electrolysis or by melting AI-Ti master alloy, A356 alloys with 0.1%Ti content exhibited the better LCF properties in comparion to those of A356 alloys with 0.14%Ti content.

关 键 词：A356合金 疲劳寿命 拟合 数理统计 

分 类 号：TG146.2[一般工业技术—材料科学与工程]