Optimum design of flow distribution in quenching tank for heat treatment of A357 aluminum alloy large complicated thin-wall workpieces by CFD simulation and ANN approach

作     者：杨夏炜 朱景川 何东 来忠红 农智升 刘勇 Xia-wei YANG;Jing-chuan ZHU;Dong HE;Zhong-hong LAI;Zhi-sheng NONG;Yong LIU

作者机构：哈尔滨工业大学金属精密热加工国家级重点实验室哈尔滨150001 哈尔滨工业大学材料科学与工程学院哈尔滨150001 

出 版 物：《Transactions of Nonferrous Metals Society of China》 (中国有色金属学报（英文版）)

年 卷 期：2013年第23卷第5期

页      面：1442-1451页

核心收录：

学科分类：080503[工学-材料加工工程] 0806[工学-冶金工程] 08[工学] 0818[工学-地质资源与地质工程] 0815[工学-水利工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 0813[工学-建筑学] 0703[理学-化学] 0802[工学-机械工程] 0814[工学-土木工程] 0702[理学-物理学] 080201[工学-机械制造及其自动化] 

主　　题：A357 aluminum alloy computational fluid dynamics quenching tank flow distribution artificial neural network 

摘      要：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.