Application of Artificial Neural Network to the Prediction of Tensile Properties in High-Strength Low-Carbon Bainitic Steels

Artificial Neural Network for Modeling the Tensile Properties of Ferrite-Pearlite Steels: Relative Importance of Alloying Elements and Microstructural Factors

(2021) Tae-Woon Hong et al.   METALS AND MATERIALS INTERNATIONAL

Modeling Mechanical Properties of 25Cr-20Ni-0.4C Steels over a Wide Range of Temperatures by Neural Networks

(2020) P. L. Narayana et al.   Metals

Modeling high-temperature mechanical properties of austenitic stainless steels by neural networks

(2020) P.L. Narayana et al.   COMPUTATIONAL MATERIALS SCIENCE

Grain boundary slip transfer classification and metric selection with artificial neural networks

(2020) Zhuowen Zhao et al.   SCRIPTA MATERIALIA

Microstructural evolution and mechanical properties of a low-carbon V-N-Ti steel processed with varied isothermal temperatures

(2020) Genhao Shi et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

An artificial neural network modeling approach for short and long fatigue crack propagation

(2020) S.N.S. Mortazavi et al.   COMPUTATIONAL MATERIALS SCIENCE

Characterization of Hot Deformation Behavior and Processing Maps of Ti–19Al–22Mo Alloy

(2019) P. L. Narayana et al.   METALS AND MATERIALS INTERNATIONAL

Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis

(2019) Sang-In Lee et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Development of an Advanced Ultrahigh Strength TRIP Steel and Evaluation of Its Unique Strain Hardening Behavior

(2019) N. Saeidi et al.   METALS AND MATERIALS INTERNATIONAL

Microstructural Characterization and Softening Mechanism of Ultra-Low Carbon Steel and the Control Strategy in Compact Strip Production Process

(2019) Bo Jiang et al.   METALS AND MATERIALS INTERNATIONAL

Loading Direction Dependence of Yield-Point Phenomenon and Bauschinger Effect in API X70 Steel Sheet

(2019) Hyung Lae Kim et al.   METALS AND MATERIALS INTERNATIONAL

Tailoring Mechanical Properties of a Low Carbon Cu-Containing Structural Steel by Two-Step Intercritical Heat Treatment

(2019) Xiaohui Xi et al.   METALS AND MATERIALS INTERNATIONAL

Correlation of microstructure with tensile behavior and properties of API X70 pipeline steels subjected to strain aging

(2019) Sang-in Lee et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Plastic deformation and fracture behavior of X65 pipeline steel: Experiments and modeling

(2018) S. Kingklang et al.   ENGINEERING FRACTURE MECHANICS

Effect of strain rate on tensile and serration behaviors of an austenitic Fe-22Mn-0.7C twinning-induced plasticity steel

(2018) Seung-Yong Lee et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Effect of Strain Aging on Tensile Behavior and Properties of API X60, X70, and X80 Pipeline Steels

(2018) Sang-In Lee et al.   METALS AND MATERIALS INTERNATIONAL

Modeling hot deformation behavior of low-cost Ti-2Al-9.2Mo-2Fe beta titanium alloy using a deep neural network

(2018) Cheng-Lin Li et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

Deformation behavior and tensile properties of an austenitic Fe-24Mn-4Cr-0.5C high-manganese steel: Effect of grain size

(2018) Sang-In Lee et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Neural Network Approach to Construct a Processing Map from a Non-linear Stress–Temperature Relationship

(2018) Chan Hee Park et al.   METALS AND MATERIALS INTERNATIONAL

Effect of different microstructural parameters on hydrogen induced cracking in an API X70 pipeline steel

(2017) M. A. Mohtadi-Bonab et al.   METALS AND MATERIALS INTERNATIONAL

Correlation Between Microstructures and Tensile Properties of Strain-Based API X60 Pipeline Steels

(2016) Hyo Kyung Sung et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Design of medium carbon steels by computational intelligence techniques

(2015) N.S. Reddy et al.   COMPUTATIONAL MATERIALS SCIENCE

Artificial neural network modeling on the relative importance of alloying elements and heat treatment temperature to the stability of α and β phase in titanium alloys

(2015) N.S. Reddy et al.   COMPUTATIONAL MATERIALS SCIENCE

Effect of strain path on dynamic strain-induced transformation in a microalloyed steel

(2014) L. Sun et al.   ACTA MATERIALIA

A comparative study on constitutive relationship of as-cast 904L austenitic stainless steel during hot deformation based on Arrhenius-type and artificial neural network models

(2012) Ying Han et al.   COMPUTATIONAL MATERIALS SCIENCE

Neural Networks Relating Alloy Composition, Microstructure, and Tensile Properties of α/β-Processed TIMETAL 6-4

(2012) Peter C. Collins et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Optimization of flow stress in cool deformed Nb-microalloyed steel by combining strain induced transformation of retained austenite, cooling rate and heat treatment

(2011) S.H. Mousavi Anijdan et al.   ACTA MATERIALIA

Modeling ductile to brittle transition temperature of functionally graded steels by artificial neural networks

(2011) Ali Nazari et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction of the hot deformation behavior for Aermet100 steel using an artificial neural network

(2010) Guoliang Ji et al.   COMPUTATIONAL MATERIALS SCIENCE

Effects of Rolling and Cooling Conditions on Microstructure and Tensile and Charpy Impact Properties of Ultra-Low-Carbon High-Strength Bainitic Steels

(2010) Hyo Kyung Sung et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Prediction of flow stress in Ti–6Al–4V alloy with an equiaxed α+β microstructure by artificial neural networks

(2008) N.S. Reddy et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Modeling medium carbon steels by using artificial neural networks

(2008) N.S. Reddy et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING