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Al-Pb-钢背连铸复合工艺参数的计算机优化
引用本文:朱昱,黄明宇,倪红军.Al-Pb-钢背连铸复合工艺参数的计算机优化[J].特种铸造及有色合金,2005,25(4):216-218.
作者姓名:朱昱  黄明宇  倪红军
作者单位:南通大学 (朱昱,黄明宇),南通大学(倪红军)
基金项目:江苏省科技厅自然科学基金,江苏省教育厅自然科学基金
摘    要:在生产实践中,Al-Pb-钢背轴瓦材料连铸工艺的确定依赖于经验,靠调试时不断调整获得经验,这种方法不能获得综合性能较优的轴瓦材料.介绍了一种借助于试验数据,通过Matlab环境下神经网络模拟,利用遗传算法实现连铸工艺优化,确定工艺参数为拉铸速度24.0 mm/s,冷却水流量350 mL/s,轧制纯铝层厚度 0.24 mm,合金层厚度4.7 mm,所得轴瓦材料剪切强度为100 MPa左右,抗拉强度为60 MPa,伸长率为17.2%,满足了使用要求.

关 键 词:连铸  Al-Pb-钢背轴瓦材料  BP网络  遗传算法
文章编号:1001-2249(2005)04-0216-03
修稿时间:2005年1月10日

Computer-aided Optimization of Processing Parameters for Al-Pb-steel BearingAlloy in Continuous Casting
Zhu Yu,Huang Mingyu,Ni Hongjun.Computer-aided Optimization of Processing Parameters for Al-Pb-steel BearingAlloy in Continuous Casting[J].Special Casting & Nonferrous Alloys,2005,25(4):216-218.
Authors:Zhu Yu  Huang Mingyu  Ni Hongjun
Abstract:The determination of processing parameters for Al-Pb-steel bearing materials in continuous casting depending on the experience can be gotten by taking a series of trials in practical production,which is difficult to get bearing materials with good comprehensive performance.An optimization method to continuous casting for the bearing materials was put forward by GA based on matlab artificial neural network based on the data from the experience.
Keywords:Continuous Casting  Al-Pb-Steel Bearing Materials  BP Network  GA
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