Determination of Ms temperature in steels: A Bayesian neural network model

C Capdevila, C FG, CG De Andrés - ISIJ international, 2002 - jstage.jst.go.jp
The knowledge of the martensite start (Ms) temperature of steels is sometimes important
during parts and structures fabrication, and it can not be always properly estimated using …

[图书][B] Encyclopedia of Iron, Steel, and Their Alloys, Five-Volume Set (Print)

R Colás, GE Totten - 2016 - books.google.com
The first of many important works featured in CRC Press' Metals and Alloys Encyclopedia
Collection, the Encyclopedia of Iron, Steel, and Their Alloys covers all the fundamental …

[HTML][HTML] Mechanical properties and microstructure of SMAW welded and thermically treated HSLA-80 steel

L de Jesus Jorge, VS Cândido, ACR da Silva… - Journal of materials …, 2018 - Elsevier
This paper aims to present a comparison on the use of different heat treatment conditions in
association with welding of a HSLA-80 steel. This investigation was carried out by multipass …

Role of segregation behavior of Cu and Sb in the region of inclusions on initial corrosion

Z Li, J Chen, W Xue, C Yin, J Song, K Xiao - npj Materials Degradation, 2023 - nature.com
The distribution characteristics of corrosion-resistant elements in low-alloy steel affected the
initial corrosion behavior of the matrix. In this article, the segregation behaviors of elements …

[图书][B] Metallurgical design of flat rolled steels

VB Ginzburg - 2020 - books.google.com
This book outlines the basic principles of metallurgical design of flat rolled steels to obtain
flat steel products with required metallurgical and mechanical properties. These principles …

Tensile and impact behaviour of thermo mechanically treated and micro-alloyed medium carbon steel bar

A Ghosh, M Ghosh - Construction and Building Materials, 2018 - Elsevier
In the present study, a comparison between thermo mechanically treated (TMT) and direct
air cooled micro-alloyed hot rolled (MAHR) steel bar has been made in terms of …

Genetic algorithms in optimization of strength and ductility of low-carbon steels

S Ganguly, S Datta, N Chakraborti - Materials and Manufacturing …, 2007 - Taylor & Francis
A comparative study between the conventional goal attainment strategy and an evolutionary
approach using a genetic algorithm has been conducted for the multiobjective optimization …

Designing high strength multi-phase steel for improved strength–ductility balance using neural networks and multi-objective genetic algorithms

S Datta, F Pettersson, S Ganguly, H Saxén… - ISIJ …, 2007 - jstage.jst.go.jp
The properties of steels depend in a complex way on their composition and heat treatment
and neural networks have therefore recently been widely used for capturing these …

Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels

S Ganguly, S Datta, N Chakraborti - Computational Materials Science, 2009 - Elsevier
Multi-objective optimizations of strength and ductility of multiphase steels are conducted
using genetic algorithms (GAs), to investigate the role of the composition and process …

Comparison of precipitation kinetics and strengthening in an Fe-0.8% Cu alloy and a 0.8% Cu-containing low-carbon steel

A Deschamps, M Militzer, P WJ - ISIJ international, 2003 - jstage.jst.go.jp
The precipitation kinetics and associated change in mechanical properties (hardening and
strain hardening rate) have been compared in a Fe–Cu alloy and a Cu-containing low …