AusEvol Pro is a computer program for quantitative modeling of steels microstructure evolution during thermo-mechanical treatments and calculation of their mechanical properties. The program is focused on a low/moderately alloyed hypo-eutectoid steels in which contents of a separate substitution alloying elements do not exceed 3 wt.%.

The AusEvol Pro program is implemented both as a program for personal computers, and as a mobile application on the Android platform. This program is developed in the laboratory “Research and modeling of structure and properties of metallic materials” of Peter the Great St. Petersburg Polytechnic University.

The program implements an integral mathematical model of the following interacting processes of steel structure formation:

	austenite grain growth
	dynamic recrystallization
	static recrystallization with account of the effects of recovery and precipitation of carbonitrides of micro-alloying elements on the dislocations in deformed austenite
	austenite transformation under cooling with formation of all practically important steel microstructure components (ferrite, perlite, bainite of various morphology and martensite) with account of the effect of retained strain

Mathematical models of the listed processes of structure formation are distinguished by a physically sound account of the effects of alloying by all practically important elements that provides an effective use of the program for a large number of steel grades with a wide range of chemical composition variation. Calculations of the final mechanical properties of steels (yield stress, tensile stress, elongation), hardness, as well as impact characteristics, are performed taking into account contributions of all physically significant mechanisms of hardening of the microstructure components.

Verification of the models was carried out on basis of an extensive and reliable experimental data that provides a high accuracy of calculation of the final steel microstructure parameters and mechanical properties with relative errors not exceeding 8%.