The bonding properties of solid steel to liquid aluminum

被引：0

作者：

Zhang, P ^{[1
]}

Du, YH

Liu, HW

Zeng, DB

Ba, LM

机构：

[1] Beijing Jiaotong Univ, Dept Mech Engn, Beijing 100044, Peoples R China

[2] Tsing Hua Univ, Dept Mech Engn, Beijing 100084, Peoples R China

[3] Anshan Automobile Fittings Fact, Anshan 114014, Peoples R China

来源：

JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION | 2005年 / 20卷 / 01期

关键词：

bonding of steel plate to liquid aluminum; rapid solidification; artificial neural networks; genetic algorithm;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The bonding of solid steel plate to liquid aluminum was studied using rapid solidification. The relationship models of interfacial shear strength and thickness of interfacial layer of bonding plate vs bonding parameters ( such as preheat temperature of steel plate, temperature of aluminum liquid and bantling time) were respectively established by artificial neural networks perfectly. The bonding parameters for the largest interfacial shear strength were optimized with genetic algorithm successfully. They are 226 degrees C for preheating temperature of steel plate, 723 degrees C for temperature of aluminum, liquid and 15.8s for bonding time, and the largest interfacial shear strength of bonding plate is 71.6MPa. Under these conditions, the corresponding reasonable thickness of intrerfacial layer (10.8 mu m) is gotten using the relationship model established by artificial neural networks.

引用

页码：25 / 29

页数：5