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Related Statistics on Mechanical Detection

Regression coefficients and regression statistics calculated the correlation coefficient F R (specific data and the calculation process is omitted), in the confidence level of 95 under the conditions of the regression equation: Rb a 308.1 +651.1 (Uc +59.3 ( Us. +99.5 (UM (4) regression multiple correlation coefficient R = 0.708, R a 0.501, the value of F-statistic 17.52. 3.1.2 regression equation test of significance the confidence level a = 0.05,[link widoczny dla zalogowanych], degrees of freedom P-3,[link widoczny dla zalogowanych], the number of samples n = 50, Charles F distribution critical values table obtained F.. j (3,46) a 2.81; or the use of Excel software FINV () function evaluation F critical value, Fo. (3,46) a FJNV (0.05,3.46) = 2.81, hence F> Fj (3,46), indicating a significant level of linear regression equation. In addition, multiple regression correlation coefficient R also shows a sample correlation 0.708. 46 physical test 3.2 2004 6 Application of the regression equation to adjust chemical composition using the regression equation to improve the process capability index. Analysis of tensile strength of the product known process capability index , the product of the tensile strength of low process capability index, to improve the process capability index, we must increase or decrease in the average tensile strength tensile strength of the standard deviation. by the regression equation (4) indicates that the tensile strength increased from increasing carbon, silicon and manganese content of these 3 elements to proceed. However, to increase the silicon and manganese to need more to join ferrosilicon, ferromanganese, which is bound to increase costs. So, in silicon and manganese content in the same two elements cases, only increased the carbon content. tensile strength of the process capability index C from 0.90 to 1.0, the standard deviation of change in the tensile strength of the case, from (2) and Table 1 data can be calculated to improve the average tensile strength of 4.2MPa; Similarly C increased from 0.9 to 1.33, the average tensile strength need to improve 18.09MPa; C increased from 0.9 to 1.67, anti- need to improve the tensile strength of the average 32.34MPa. in silicon and manganese in the same circumstances, the use of regression equation (4) can be calculated to improve the average tensile strength 4.2MPa, the need to increase the average carbon content of 0.006; Similarly, the average tensile strength increased 18.O9MPa, the need to increase the average carbon content of 0.028; tensile strength of the average increase 32.34MPa, you need to increase the average carbon content of 0.05. which can be tensile strength of process capability index reached capacity can still type (C. I 1 ~ 1.33), in the keeping of silicon and manganese content in the same circumstances, the average carbon content to be in the range of 0.136o.4 ~ 0.158 ; tensile strength to achieve the desired type of process capability index (C. a 1.33 to 1.67),[link widoczny dla zalogowanych], the average carbon content to be in the 0.158% ~ 0.1809 / 5 between, but the average carbon content in this area is very likely to ask the carbon content exceeds the limit, causing elements out of line. So, in raising the carbon content, we must strictly control the carbon content of the standard deviation, stable carbon content. In addition, strict control of silicon and manganese content of the fluctuations,[link widoczny dla zalogowanych], reduce the standard bias, but also improve the effective means of process capability index. 4 application effect the adjustment of chemical composition through: increased carbon content, stable carbon,[link widoczny dla zalogowanych], silicon and manganese content, lower carbon, silicon and manganese content of the fluctuations, in January 2004 the plant Q235A The tensile strength of hot-rolled rods process capability index increased to 1.17, reaching capacity can still type. 5 Conclusion (1) process capability index for the low tensile strength is mainly due to the low carbon content. in the smelting process rolling the same silicon, manganese and carbon content of the standard deviation of the same circumstances, to achieve the ability to process capability index can still type, the average carbon content between the need to 0.130o.4 ~ O.158; process capability index To achieve the desired type, the average carbon content of 0.158 ~ 0.180 between the need to, but must reduce the volatility of the carbon content of the control standard deviation, to prevent the components out of line. (2) stable carbon, silicon and manganese which 3 elements, control the standard deviation of the three, the same process capability index to improve tensile strength. References: [1] Fujian Provincial Quality Management Association. Total Quality Management universal materials. Fuzhou: Fujian Provincial Quality Management Association Press, 1984. [2] GB/T701-1997, hot-rolled low carbon steel rods. E33 Wang Wen. Excel in statistical analysis. Beijing: China Railway Press, 2003.E43 Liu Meishan, Huang Long Long, et al. HRB335 ribbed steel mechanical properties and chemical composition of regression analysis and related issues [J]. Physical Testing of physical volumes, 2002,38 (2): 62.

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