Hot Flow Curve Description of CuFe2 Alloy via Different Artificial Neural Network Approaches

Microstructure and properties of CuCr0.6 and CuFe2 alloys after rolling with the cyclic movement of rolls

(2018) Kinga Rodak et al.   Archives of Civil and Mechanical Engineering

Modeling the Hot Deformation Behaviors of As-Extruded 7075 Aluminum Alloy by an Artificial Neural Network with Back-Propagation Algorithm

(2017) Guo-zheng Quan et al.   HIGH TEMPERATURE MATERIALS AND PROCESSES

Developed constitutive models, processing maps and microstructural evolution of Pb-Mg-10Al-0.5B alloy

(2017) Yonghua Duan et al.   MATERIALS CHARACTERIZATION

Flow behavior of Al–6.2Zn–0.70Mg–0.30Mn–0.17Zr alloy during hot compressive deformation based on Arrhenius and ANN models

(2017) Jie YAN et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Artificial Neural Network-Based Constitutive Relationship of Inconel 718 Superalloy Construction and Its Application in Accuracy Improvement of Numerical Simulation

(2017) Junya Lv et al.   Applied Sciences-Basel

The improvement on constitutive modeling of Nb-Ti micro alloyed steel by using intelligent algorithms

(2017) Si-Wei Wu et al.   MATERIALS & DESIGN

A comparative study on phenomenon and deep belief network models for hot deformation behavior of an Al–Zn–Mg–Cu alloy

(2016) Y. C. Lin et al.   APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING

Influence of precipitates on the grain refinement in CuFe2 alloy processed by rolling with cyclic movement of rolls

(2016) Kinga Rodak et al.   MATERIALS & DESIGN

Constitutive modeling for hot deformation behavior of T24 ferritic steel

(2011) Hong-Ying Li et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction of hot compression flow curves of Ti–6Al–4V alloy in α+β phase region

(2011) Mohammad Amin Shafaat et al.   MATERIALS & DESIGN