Designing dual-phase steels with improved performance using ANN and GA in tandem
In this study, artificial neural network (ANN) and multi-objective genetic algorithm (GA) are
employed in tandem to design dual-phase (DP) steel with improved performance. Six …
employed in tandem to design dual-phase (DP) steel with improved performance. Six …
Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels
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 …
using genetic algorithms (GAs), to investigate the role of the composition and process …
Designing high strength multi-phase steel for improved strength–ductility balance using neural networks and multi-objective genetic algorithms
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 …
and neural networks have therefore recently been widely used for capturing these …
Prediction of mechanical properties of DP steels using neural network model
In this investigation, a neural network model was used to predict mechanical properties of
dual phase (DP) steels and sensivity analysis was performed to investigate the importance …
dual phase (DP) steels and sensivity analysis was performed to investigate the importance …
Optimal design of alloy steels using multiobjective genetic algorithms
Determining the optimal heat treatment regimen and the required weight percentages for the
chemical composites to obtain the desired mechanical properties of steel is a challenging …
chemical composites to obtain the desired mechanical properties of steel is a challenging …
Microstructure based prediction of strain hardening behavior of dual phase steels
S Sodjit, V Uthaisangsuk - Materials & Design, 2012 - Elsevier
In the automotive industries, dual phase (DP) steels have increasingly used for various car
body parts due to their excellent combination of high strength and good formability. The …
body parts due to their excellent combination of high strength and good formability. The …
Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function
A genetic algorithm (GA) based optimization of the composite desirability of the tensile
properties of thermomechanically processed high strength low alloy (HSLA) steel plates is …
properties of thermomechanically processed high strength low alloy (HSLA) steel plates is …
Development of a dual phase steel using orthogonal design method
A 50 kg-grade cold rolled dual phase (DP) steel was developed based on the orthogonal
design method. The intercritical annealing, aging and galvanizing temperatures during the …
design method. The intercritical annealing, aging and galvanizing temperatures during the …
Modeling and composition design of low-alloy steel's mechanical properties based on neural networks and genetic algorithms
Z Zhu, Y Liang, J Zou - Materials, 2020 - mdpi.com
Accurately improving the mechanical properties of low-alloy steel by changing the alloying
elements and heat treatment processes is of interest. There is a mutual relationship between …
elements and heat treatment processes is of interest. There is a mutual relationship between …
Microstructural Modifications of Dual‐Phase Steels: An Overview of Recent Progress and Challenges
F Ebrahimi, N Saeidi, M Raeissi - steel research international, 2020 - Wiley Online Library
Optimization of the microstructure and its effect on the strength and ductility of the steel is
one of the main aspects of the researcher's effort toward production of advanced structural …
one of the main aspects of the researcher's effort toward production of advanced structural …