Prediction of processing-properties of TA15 titanium alloy based on BP neural network

Yang Yue; Jingchuan Zhu; Yong Liu; Yang Wang; Xiawei Yang

Prediction of processing-properties of TA15 titanium alloy based on BP neural network

Yang Yue, Jingchuan Zhu, Yong Liu, Yang Wang, Xiawei Yang

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Parameters of processing (temperature, strain, strain rate and cooling method) and properties (tensile strength and elongation) of TA15 titanium alloy hot-restriction-deformed were obtained through mechanical properties examination; their relationship network model was built by BP artificial neural network. The results show that the built model can reflect the relationships between processing and properties very well and has certain accuracy. It can be used for the prediction of the properties of TA15 titanium alloy under different deformation conditions. Meanwhile, the model can also serve as a guide for the heat treatment of TA15 titanium alloy.

Original language	English
Pages (from-to)	1811-1814
Number of pages	4
Journal	Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering
Volume	38
Issue number	10
State	Published - Oct 2009
Externally published	Yes

Keywords

BP artificial neural network
TA15 titanium alloy
Three-dimensional shaded surface

Cite this

@article{4f3735f1481947fb9293fd6de526c77d,

title = "Prediction of processing-properties of TA15 titanium alloy based on BP neural network",

abstract = "Parameters of processing (temperature, strain, strain rate and cooling method) and properties (tensile strength and elongation) of TA15 titanium alloy hot-restriction-deformed were obtained through mechanical properties examination; their relationship network model was built by BP artificial neural network. The results show that the built model can reflect the relationships between processing and properties very well and has certain accuracy. It can be used for the prediction of the properties of TA15 titanium alloy under different deformation conditions. Meanwhile, the model can also serve as a guide for the heat treatment of TA15 titanium alloy.",

keywords = "BP artificial neural network, TA15 titanium alloy, Three-dimensional shaded surface",

author = "Yang Yue and Jingchuan Zhu and Yong Liu and Yang Wang and Xiawei Yang",

year = "2009",

month = oct,

language = "英语",

volume = "38",

pages = "1811--1814",

journal = "Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering",

issn = "1002-185X",

publisher = "Science Press ",

number = "10",

}

TY - JOUR

T1 - Prediction of processing-properties of TA15 titanium alloy based on BP neural network

AU - Yue, Yang

AU - Zhu, Jingchuan

AU - Liu, Yong

AU - Wang, Yang

AU - Yang, Xiawei

PY - 2009/10

Y1 - 2009/10

N2 - Parameters of processing (temperature, strain, strain rate and cooling method) and properties (tensile strength and elongation) of TA15 titanium alloy hot-restriction-deformed were obtained through mechanical properties examination; their relationship network model was built by BP artificial neural network. The results show that the built model can reflect the relationships between processing and properties very well and has certain accuracy. It can be used for the prediction of the properties of TA15 titanium alloy under different deformation conditions. Meanwhile, the model can also serve as a guide for the heat treatment of TA15 titanium alloy.

AB - Parameters of processing (temperature, strain, strain rate and cooling method) and properties (tensile strength and elongation) of TA15 titanium alloy hot-restriction-deformed were obtained through mechanical properties examination; their relationship network model was built by BP artificial neural network. The results show that the built model can reflect the relationships between processing and properties very well and has certain accuracy. It can be used for the prediction of the properties of TA15 titanium alloy under different deformation conditions. Meanwhile, the model can also serve as a guide for the heat treatment of TA15 titanium alloy.

KW - BP artificial neural network

KW - TA15 titanium alloy

KW - Three-dimensional shaded surface

UR - http://www.scopus.com/inward/record.url?scp=70749099852&partnerID=8YFLogxK

M3 - 文章

AN - SCOPUS:70749099852

SN - 1002-185X

VL - 38

SP - 1811

EP - 1814

JO - Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering

JF - Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering

IS - 10

ER -

Prediction of processing-properties of TA15 titanium alloy based on BP neural network

Abstract

Keywords

Other files and links

Fingerprint

Cite this