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一、概况我厂自生产20～25 MnSi螺纹钢筋以来,每年均有小部分产品出现螺纹钢冷弯脆断。为了保证产品质量,采集了从1985年1～8月份我厂第二轧钢车间轧制的20～25MnSi钢筋944炉,共计9440个数据,进行数理统计分析。二、统计方法与结果分别以冶炼分析的碳含量为基准,对Si,Mn,σ_s,σ_b,δ_5等进行数理统计,并设统计子样服从正态分布。统计中舍弃了81个异常数据,舍弃异常数据中采用了Chauvent法,该法简便,精度满足要求。对某些舍弃的数据亦采用Grubbs法进行复算,结果是一致
First, the general situation I plant since the production of 20 ~ 25 MnSi rebar since every year a small part of the products appear cold bend brittle broken steel. In order to ensure the quality of the products, a total of 9,440 pieces of 2044MnSi steel bars were rolled from the second rolling mill in our factory from January to August in 1985, a total of 9440 data were collected for mathematical statistics analysis. Second, the statistical methods and results The carbon content of the smelting analysis as a benchmark, the Si, Mn, σ_s, σ_b, δ_5 mathematical statistics, and statistical subsamples subject to normal distribution. Statistics Abandoned 81 anomalous data, abandon the abnormal data using the Chauvent method, the method is simple and accurate to meet the requirements. Grubbs method is also used for some rejected data, the result is the same