MULTIPURPOSE OPTIMIZATION OF THE CHEMICAL COMPOSITION OF THE STEEL E36 WITH THE USE OF COMPUTER METHODS RESEARCHING DEEP ANALYSIS OF DATA

Performance, eliminating the anisotropy of the mechanical and physico-chemical properties by optimizing the chemical composition of the steel E36 in the normalized condition. Methodology. Study of the multi-objective optimization influence of steel E36 chemical composition on the mechanical characteristics were carried out with the use of computer methods Roshal deep data analysis abbreviated GRAD. Findings. There was solved the actual scientific and technical problem of improved performance, elimination of anisotropy of the mechanical and physico-chemical properties by the chemical composition optimizing in the work. Originality. Using the methods of deep exploratory data analysis, it was investigated the effect of production parameters on the mechanical properties. It was observed the influence of heat treatment on the distribution of chemical elements, the microstructure, hardness and mechanical properties of low alloy steels. Practical value. Using the methods of mathematical analysis, it was made optimization of the chemical composition of the steel E36.