Investigation of Mechanical Properties of High-Density Iron-Based Alloys with Nanosized Additions View Full Text


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Article Info

DATE

2022-05

AUTHORS

M. S. Egorov, R. V. Egorova

ABSTRACT

Detailed analysis is provided for results of studying mechanical properties of alloys based on iron and nanodispersed particles of nickel oxide, copper oxide, and silicon nitride after bulk deformation. Dependences are revealed for alloys based on iron strength and ductility properties on form and amount of added nanoparticles. A considerable influence on the structure and properties and also the degree of interparticle growth of dispersion-strengthened alloys prepared by hot stamping affects the base material, is original workpiece density, degree of material particle deformation during stamping, and also holding time before hot stamping.Analysis of results in dicate that use of nanosize Cu and Ni fine fraction additions improves the structure uniformity and alloy properties. This is due to an increase in particle distribution uniformity within a charge and provision of dissolution conditions within an iron matrix. The results obtained indicate that ductility indices the same as strength properties are sensitive to development of oxide inclusions. Development of a certain amount of oxides at an interparticle surface leads to a change in ultimate strength and relative reduction of area compared with materials at whose surface there is formation of oxide inclusions. Since crack growth proceeds close to excess phase inclusions, then an increase in amount in the growth zone changes the amount of plastic deformation before failure. This provides a complete picture of the effect of nanosize particles on the nature of alloy interparticle consolidation and consequently the possibility of subsequent introduction of a method for alloy strengthening for iron base alloys. More... »

PAGES

155-166

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11015-022-01312-3

DOI

http://dx.doi.org/10.1007/s11015-022-01312-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149183603


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