Multipurpose optimization of the chemical composition of the steel E36 with the use of computer methods of the deep data analysis

An actual scientific and technical task solution, that is operational performance improvement, elimination of the mechanical and physico-chemical properties anisotropy by optimizing the chemical composition has been given in the paper. Using the methods of the deep data analysis, the effect of production parameters (chemical composition and thickness of rolled metal) on the key indicators of the mechanical properties – ultimate strength, yield strength, percent elongation and impact resistance-has been investigated. It is shown that the most responsive characteristic of mechanical properties – impact resistance, is influenced by the elements: C, Mn, Si, P, H2. According to the results of the research it is shown that under operating conditions by optimizing the chemical composition of the in-vestigated steels by means of the CHAID method and with the use of quality criteria the optimal concentration ranges of chemical elements, which ensure high and stable levels of plasticity and the work of the blow of rolled low alloy steels may be determined. The influence of thermal treatment on the chemical distribution of elements, microstructure, hardness and mechanical properties of the welding manganese steels has been researched. Using the methods of mathematical analysis, the chemical composition of the steel E36 has been investigated