MASS TRANSFER MECHANICS PROVIDING ULTRAFINE-GRAINED STRUCTURE FORMATION IN METALS AND ALLOYS

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

The article considers the deformation processes of ultrafine-grained (UFG) structure formation in polycrystalline materials exhibiting superplastic properties, and the theoretical methods of molecular dynamics (MD) and Monte Carlo (MC) for simulating the formation of a nanocrystalline structure. The history
of the interest in grain refinement, caused by the influence of grain size on the strength and superplastic properties of metals and alloys, is briefly described. It is shown that mass transfer underlies the formation of UFG structures, including nanocrystalline ones. In the case of deformation refinement, a new technique for calculating the degree of deformation required to refine the microstructure is proposed. In the case of
theoretical description of nanograin formation using MD and MC methods, the concepts of grain boundary engineering in polycrystalline materials are used, leading to selective mass transfer of grain-boundary atoms forming a dense network of nanoboundaries with high strength and deformation properties. The paper discusses methods of severe plastic deformation and the mechanisms of superplastic deformation.

Sobre autores

Farid Utyashev

Academy of Sciences of the Republic of Bashkortostan

Autor responsável pela correspondência
Email: ufz1947@mail.ru
Rússia, Ufa, 450077

Sergey Dmitriev

Institute of Molecule and Crystal Physics, Ufa Federal Research Center, Russian Academy of Sciences

Email: dmitriev.sergey.v@gmail.com
Rússia, Ufa, 450054

Ruslan Valiev

Ufa University of Science and Technology

Email: rzvaliev@mail.rb.ru
Rússia, Ufa, 450076

Bibliografia

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML


Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).