SOFTWARE TO OPTIMIZE THE PROCESS BY THE BOX-BENKIN METHOD IN THE CASE OF THREE-FACTOR EXPERIMENT WITH SEVERAL OUTPUT PARAMETERS
Abstract
Software has been developed for planning, processing and analyzing a three-factor experiment with several output parameters. The program is compiled in the development environment of Microsoft Visual Studio 2012 in C ++. It allows you to create a mathematical model to describe the influence of input factors on output parameters in the form of second-order regression equations, analyze its adequacy, find confidence intervals of regression coefficients, determine the maximum and minimum values of one output parameter under given conditions for other parameters, and also determine the values input factors that provide optimal conditions for the process taking into account all parameters.
Software for planning and processing of three-factor experiment with several initial parameters is developed. The program was created in the C ++ Microsoft Visual Studio 2012 development environment. It allows you to: o construct a mathematical model of the influence of input factors on the output parameters in the form of second order regression equations (3); to conduct the adequacy analysis of mathematical models; find the standard deviations of the regression coefficients; find confidence intervals of regression coefficients using Student's t test; to check the homogeneity of the dispersions using the Cochran criterion; determine the maximum and minimum values of one output parameter under given conditions for other parameters; determine the values of the input factors that provide optimal conditions for the process taking into account all the parameters.
The program has been tested, tested on the example of the analysis of the results of dissertation research Zadosnoy N. А.
The program can be recommended for processing a three-factor experiment, which is carried out in accordance with the Box-Benkin non-compositional plan with several output parameters.
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