利用CFD模拟和ANN模型对A357铝合金大型复杂构件淬火槽内介质流场分布的优化设计（英文）

Saved in:
Bibliographic Details
Published in中国有色金属学报：英文版 no. 5; pp. 1442 - 1451
Main Author 杨夏炜 朱景川 何东 来忠红 农智升 刘勇
Format Journal Article
LanguageEnglish
Published 2013
Subjects
A357铝合金
人工神经网络
流速分布
淬火槽
计算流体动力学
Online AccessGet full text

Cover

More Information
Bibliography:A357 aluminum alloy; computational fluid dynamics; quenching tank; flow distribution; artificial neural network
43-1239/TG
Based on the computational fluid dynamics （CFD） method, a quenching tank with two agitator systems and two flow-equilibrating devices was selected to simulate flow distribution using Fluent software. A numerical example was used to testify the validity of the quenching tank model. In order to take tank parameters （agitation speed, position of directional flow baffle and coordinate position in quench zone） into account, an approach that combines the artificial neural network （ANN） with CFD method was developed to study the flow distribution in the quenching tank. The flow rate of the quenching medium shows a very good agreement between the ANN predicted results and the Fluent simulated data. Methods for the optimal design of the quenching tank can be used as technical support for industrial production.
Xia-wei YANG, Jing-chuan ZHU, Dong HE, Zhong-hong LAI, Zhi-sheng NONG, Yong LIU（1. National Key Laboratory for Precision Hot Processing of Metals,Harbin Institute of Technology, Harbin 150001, China;2. School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China）
ISSN:1003-6326