Enhanced processing map of Ti–6Al–2Sn–2Zr–2Mo–2Cr–0.15Si aided by extreme gradient boosting

Hot Deformation and Constitutive Modeling of TC21 Titanium Alloy

(2022) Sheng-Xian Yi et al.   Materials

High-Temperature Deformation Characteristics and Constitutive Model of an Ultrahigh Strength Steel

(2021) YiBo Xiong et al.   METALS AND MATERIALS INTERNATIONAL

Optimization of hybrid manufacturing process combining forging and wire-arc additive manufactured Ti-6Al-4V through hot deformation characterization

(2021) A.K. Maurya et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Effects of Laser Power on the Microstructure Evolution and Mechanical Properties of Ti–6Al–4V Alloy Manufactured by Direct Energy Deposition

(2021) Yukyeong Lee et al.   METALS AND MATERIALS INTERNATIONAL

Prediction of Electropulse-Induced Nonlinear Temperature Variation of Mg Alloy Based on Machine Learning

(2020) Jinyeong Yu et al.   Korean Journal of Metals and Materials

Deep-learning approach to predict a severe plastic anisotropy of caliber-rolled Mg alloy

(2020) Taekyung Lee et al.   MATERIALS LETTERS

Modeling of the Hot Flow Behaviors for Ti-6Al-4V-0.1Ru Alloy by GA-BPNN Model and Its Application

(2018) Yu-ting Zhou et al.   HIGH TEMPERATURE MATERIALS AND PROCESSES

Flow behavior and processing map for hot deformation of ATI425 titanium alloy

(2018) Qinggang Meng et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

High-Temperature Deformation Behavior of Ti-6Al-2Sn-4Zr-2Mo Alloy with Lamellar Microstructure Under Plane-Strain Compression

(2018) Yu Xiao et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

Hot deformation behavior and processing maps of Ti–6Al–4V alloy with starting fully lamellar structure

(2018) Wenjing Zhang et al.   JOURNAL OF MATERIALS RESEARCH

A Novel Computational Method of Processing Map for Ti-6Al-4V Alloy and Corresponding Microstructure Study

(2018) Ming Hu et al.   Materials

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

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

Hot working of Ti-6Al-4V with a complex initial microstructure

(2018) Michael O. Bodunrin et al.   International Journal of Material Forming

Accurate Descriptions of Hot Flow Behaviors Across β Transus of Ti-6Al-4V Alloy by Intelligence Algorithm GA-SVR

(2016) Li-yong Wang et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

Development and Validation of Processing Maps for Ti-6Al-4V Alloy Using Various Flow Instability Criteria

(2016) Jun Cai et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests

(2016) Fuzeng Wang et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

A physically-based constitutive model for high temperature deformation of Cu-0.36Cr-0.03Zr alloy

(2015) Guoliang Ji et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Modelling of the hot deformation behaviour of a titanium alloy using constitutive equations and artificial neural network

(2014) Jingwei Zhao et al.   COMPUTATIONAL MATERIALS SCIENCE

Effect of microstructure on the fatigue properties of Ti–6Al–4V titanium alloys

(2012) G.Q. Wu et al.   MATERIALS & DESIGN

Constitutive analysis of compressive deformation behavior of ELI-grade Ti–6Al–4V with different microstructures

(2011) Chan Hee Park et al.   JOURNAL OF MATERIALS SCIENCE

Enhanced superplasticity utilizing dynamic globularization of Ti–6Al–4V alloy

(2008) Chan Hee Park et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

High Temperature Deformation Behavior of Ti-6Al-4V Alloy with an Equiaxed Microstructure: a Neural Networks Analysis

(2008) N. S. Reddy   METALS AND MATERIALS INTERNATIONAL