The properties of steel depend, to a large extent, on the phases and their fractions that form in the steel according to the chemical composition and the cooling rate. Depending on these two main influencing factors, we can predict the phase fractions that will be present at the end of the cooling process. To display the fractions of phases from the composition and the cooling rate, we developed a computer program written in Python, which shows the cooling curve and the final fractions of phases in the selected steel and its mechanical properties. The program accepts data on CCT diagrams from the JMatPro program and cooling data from our own program for simulating steel cooling on a cooling bench. The output data contains the phase fractions of austenite, bainite, ferrite, martensite, and pearlite in steel and important mechanical properties such as tensile strength, yield strength, and hardness. Test steels C45, 16MnCrS5, and 42CrMo4 and cooling times t85 of 10 s, 100 s and 1000 s were selected to benchmark the utility of the developed computer code. Experimentation with different chemical compositions and cooling rates confirmed very different properties of the considered steels depending on the cooling rate.
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