Microstructural morphology is known to have a significant impact on the mechanical properties of dual-phase steels. A fine ferrite grain size and random distribution small second phase islands are desirable provide superior isotropic compared banded that typical for this type steel. rapid alloy prototyping (RAP) facility has been used investigate three different DP 800 variants by systematicall...

Via traditional wire drawing, the medium carbon ferrite-pearlite (MCFP) steel wires can achieve ultrahigh strength beyond 4 GPa normally for high-carbon pearlitic wires, but have a 30–60% lower production cost. The microstructural evolution and mechanical properties of been investigated by means scanning electron microscopy, transmission microscopy tensile testing. increases from 750 MPa up to ...

−− An experimental study on solidification structure development and on endogenous inclusion precipitation in a continuously cast resulphurised steel is presented. Results were obtained by investigating two heats of a free cutting C-Mn steel cast in billets with a diameter of 145 mm. The as cast structure was evaluated by macroand microscopic analyses. Primary and secondary dendrite arm spacing...

A method for finding the microstructural parameters of low-carbon steel using its metallographic images is proposed. It allows to determine the following parameters: the ratio of perlite to ferrite phases, the parameters of grains of crystallites and their mutual arrangement; the degree of granularity of the pearlite phases. The method is aimed at predicting the strength characteristics of stee...

The phase structure and the pitting susceptibility of two carbon steels, Q235 and HRB335, used for reinforced concrete, are investigated by phase observation, polarization curve measurements, electrochemical impedance spectroscopy, and Mott-Schottky analysis. It is found that Q235 is ferrite and HRB335 is pearlite. Q235 is more susceptible to chloride ions leading to pitting than HRB335. The po...

This paper describes an automatic system for segmentation and quantification of the microstructures of white cast iron. Mathematical morphology algorithms are used to segment the microstructures in the input images, which are later identified and quantified by an artificial neuronal network. A new computational system was developed because ordinary software could not segment the microstructures...