Microstructure and mechanical properties of martensitic high-strength engineering steel

MV Maisuradze, MA Ryzhkov, DI Lebedev - Metallurgist, 2020 - Springer
A promising martensitic steel with good hardenability is studied. In the cooling rate range 0.1–
30° C/sec and the only transformation recorded by a dilatometer starts at an M s temperature …

[PDF][PDF] Effect of flash butt welding parameters on weld quality of mooring chain

DC Kim, WJ So, MJ Kang - Arch. Mater. Sci. Eng, 2009 - Citeseer
Purpose: The effects of flash butt welding parameters on mechanical properties were
explored for mooring chain for offshore structure. Design/methodology/approach: Through …

[PDF][PDF] Calculation of the steel hardness after continuous cooling

J Trzaska - Archives of Materials science and Engineering, 2013 - amse.acmsse.h2.pl
Purpose: The paper presents method in predicting hardness of steel cooled continuously
from the austenitizing temperature, basing on the chemical composition, austenitizing …

[PDF][PDF] Heat treatment of cold formed steel forgings for the automotive industry

B Kosec, M Brezigar, G Kosec, J Bernetic… - … of Achievements in …, 2007 - researchgate.net
AbstrAct Purpose: In the Slovenian company ISKRA Avtoelektrika they manufacture, with the
processes of cold forming, a great number of a different steel forgings for the Slovenian and …

The chemical composition effect of medium-carbon chromomanganesemolybdenum steel on the structure of drill pipes

MV Maisuradze, DI Lebedev - Steel in Translation, 2019 - Springer
Dilatometric studies on medium-carbon Cr–Mn–Mo 40KhGMA steel with various chemical
compositions are performed. Thermokinetic diagrams for the transformation of supercooled …

[PDF][PDF] Modeling of mechanical properties of Al-Si-Cu cast alloys using the neural network

LA Dobrzański, R Maniara… - … of Achievements in …, 2007 - jamme.acmsse.h2.pl
Purpose: The paper presents some results of the research connected with the development
of new approach based on the neural network to predict the chemical composition and …

[PDF][PDF] Evaluation of chemical composition effect on materials properties using AI methods

W Sitek, J Trzaska… - Journal of Achievements in …, 2007 - jamme.acmsse.h2.pl
Purpose: The paper presents the application of artificial neural network for evaluation of
alloying elements effect on selected materials properties and austenite transformations …

[PDF][PDF] Calculation of volume fractions of microstructural components in steels cooled from the austenitizing temperature

J Trzaska - Journal of Achievements in Materials and …, 2014 - jamme.acmsse.h2.pl
Purpose: The paper presents method in predicting the volume fractions of ferrite, pearlite,
bainite and martensite of steel cooled continuously from the austenitizing temperature …

[PDF][PDF] Influence of Heat Transfer Coefficient on The End-Quench Test Simulation

I Danev, R Radev, D Gospodinov - Proceedings of University of …, 2022 - conf.uni-ruse.bg
The simulation of quenching is one of the modern approaches for researching the materials
heat treatment processes. The correct input data for simulation are crucial, in order to obtain …

Evaluation of martensite fraction in 1026 steel by infrared thermography combined with the Koistinen-Marburger model

DV Bubnoff, MMO Carvalho, CR Xavier… - Materials Science …, 2016 - Trans Tech Publ
In the present work, the martensite formation during heat treatment of 1026 steel was studied
in order to acquire process knowledge and reinforce the effectiveness of infrared …