Soft computing techniques in advancement of structural metals
S Datta, PP Chattopadhyay - International Materials …, 2013 - journals.sagepub.com
Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …
ahead of the advancing fronts of the application areas. During the last couple of decades …
A Review of the Mg2(Si,Sn) Alloy System as Emerging Thermoelectric Material: Experimental and Modeling Aspects
D Pandel, MK Banerjee, AK Singh - Journal of Electronic Materials, 2021 - Springer
This paper reviews the basic understanding of Mg-based thermoelectric materials and
various approaches for increasing their thermoelectric efficiency. Recent developments in …
various approaches for increasing their thermoelectric efficiency. Recent developments in …
Genetic algorithms in optimization of strength and ductility of low-carbon steels
A comparative study between the conventional goal attainment strategy and an evolutionary
approach using a genetic algorithm has been conducted for the multiobjective optimization …
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
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 …
Online mechanical property prediction system for hot rolled IF steel
Traditionally, mechanical property estimation is carried out by destructive testing, which is
costly and time consuming. Sometimes, the time schedule in the mill is so tight that coils are …
costly and time consuming. Sometimes, the time schedule in the mill is so tight that coils are …
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 …
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 …
Simulating time temperature transformation diagram of steel using artificial neural network
Design and development of steel is essentially governed by the Time-Temperature-
Transformation (TTT) diagram. The diagram predicts the phase evolution during isothermal …
Transformation (TTT) diagram. The diagram predicts the phase evolution during isothermal …
Exploring the effects of chemical composition in hot rolled steel product using Mahalanobis distance scale under Mahalanobis–Taguchi system
Classification of hot rolled steel product from the point of view of reaching the target
mechanical property, based on chemical composition of the steel, is a common objective …
mechanical property, based on chemical composition of the steel, is a common objective …
Strength of ferritic steels: Neural networks and genetic programming
RC Dimitriu, H Bhadeshia, C Fillon… - Materials and …, 2008 - Taylor & Francis
An analysis is presented of a complex set of data on the strength of steels as a function of
chemical composition, heat treatment, and test temperature. The steels represent a special …
chemical composition, heat treatment, and test temperature. The steels represent a special …