Research on Correlation Analysis of Stainless Steel’s Experimental Results

The analysis of industrial processes mainly uses fundamental statistical methods, which allow the drawing of conclusions from the observed values on the distribution of the frequency of various parameters, their interaction, as well as the verification of the validity of certain hypotheses.When studying the dependence between the parameters of a process, there should be determined whether the parameters initiating the process are independent of each other or influence each other (depend on each other), thus to determine the correlation between the parameters and to establish the type of the connection between parameters.In this paper, the Correlation Analysis is used to define and characterize the relationship between the process performance, Y, microhardness [HV100] and variables X1, carbon percentage, C [%], respectively X2, chromium percentage, Cr [%], of the specific chemical composition of six stainless steels, used in industry.Based on the values obtained for the 3 simple correlation coefficients (ryx1=0.98;ryx2=0.85;rx1x2=0.87)and for the multiple correlation coefficient (ry,x1x2 =0.98), after applying the Student and Fischer Criteria, there is accepted the alternative hypothesis (H1), asserting with a probability of 95% the existence of a correlation between the dependent variable Y and independent variables X1 and X2, an thus there can be stated that X1 and X2 are the technological parameters of the studied process, highly influencing it.