Microstructure-Tensile Properties Correlation for the Ti-6Al-4V Titanium Alloy

Application of back-propagation neural network for controlling the front end bending phenomenon in plate rolling

(2013) Bin Chen et al.   INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY

Determination of the influence of processing parameters on the mechanical properties of the Ti–6Al–4V alloy using an artificial neural network

(2012) Yu Sun et al.   COMPUTATIONAL MATERIALS SCIENCE

Strengthening of β Ti–6Cr–3Sn alloy through β grain refinement, α phase precipitation and resulting effects on shape memory properties

(2012) A. Wadood et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Artificial neural network approach to predict the flow stress in the isothermal compression of as-cast TC21 titanium alloy

(2011) Yanchun Zhu et al.   COMPUTATIONAL MATERIALS SCIENCE

Effect of fast neutron irradiation on tensile properties of AISI 304 stainless steel and alloy Ti–6Al–4V

(2011) B.K. Singh et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Modeling the correlation between microstructure and the properties of the Ti–6Al–4V alloy based on an artificial neural network

(2011) Yu Sun et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Development of constitutive relationship model of Ti600 alloy using artificial neural network

(2010) Y. Sun et al.   COMPUTATIONAL MATERIALS SCIENCE

Optimization of chemical composition for TC11 titanium alloy based on artificial neural network and genetic algorithm

(2010) Y. Sun et al.   COMPUTATIONAL MATERIALS SCIENCE

Modeling constitutive relationship of Ti40 alloy using artificial neural network

(2010) Y. Sun et al.   MATERIALS & DESIGN

Estimation of flow stress behavior of AA5083 using artificial neural networks with regard to dynamic strain ageing effect

(2007) H. Sheikh et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY