Work

Research on recursive statistical measurement of grain size based on MC simulation method

Year: 2025

Type: article

Abstract: As it is difficult to measure grain size due to the migration of lattice points at grain boundaries, a new method of accurate and rapid grain size determination using Monte Carlo(MC) method, recursive statistical method, was proposed, and then recursive statistical method was used to measure grain size. The results show that the grain size measured by recursive statistical method is more accurate than that by intercept method, and the measurement accuracy is not affected by the grid type of the model and the size and shape of the grain, and the measurement speed is faster than other statistical methods.

Source: Theory and Practice of Science and Technology

DOI: 10.47297/taposatwsp2633-456918.20250602

Author: Chang Liang

Institution: National Technical University "Kharkiv Polytechnic Institute"

Language: English

Topic: Microstructure and mechanical properties

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Department of Education, Heilongjiang Province

OpenAlex ID: W4408870125