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The Rapidly Solidified Aging Copper Alloy by BP Neural Network
引用本文:苏娟华. The Rapidly Solidified Aging Copper Alloy by BP Neural Network[J]. 武汉理工大学学报(材料科学英文版), 2003, 18(4): 50-53. DOI: 10.1007/BF02838391
作者姓名:苏娟华
作者单位:Northwestern Polytechnical
基金项目:FundedbytheState“ 86 3High techplan” (No.2 0 0 2AA331112 )
摘    要:
1 IntroductionTheCu Cr Zralloysarewidelyusedinavarietyofproductsrequiringacombinationofhighmechanicalprop ertiesandgoodelectricalconductivity .Examplesincludeelectronicconnectors ,integratedcircuitleadframesandweldingelectrodetips[1-4] .Howeveritisdifficulttofur therimprovetheirelectricalandmechanicalpropertiesun derconventionalsolutionheat treatment (CSHT)sincethedegreeofprecipitationhardeninguponagingisre strictedbythelimitedsolubilityofchromiumandzirconi umincopper.Inanefforttoimproveth…

收稿时间:2002-12-20
修稿时间:2003-05-10

The rapidly solidified aging copper alloy by BP neural network
Juan-hua,Su,Qi-ming,Dong,Ping,Liu,He-jun,Li,Bu-xi,Kang. The rapidly solidified aging copper alloy by BP neural network[J]. Journal of Wuhan University of Technology. Materials Science Edition, 2003, 18(4): 50-53. DOI: 10.1007/BF02838391
Authors:Juan-hua  Su  Qi-ming  Dong  Ping  Liu  He-jun  Li  Bu-xi  Kang
Affiliation:(1) Northwestern Polytechnical University, China;(2) College of Materials Science and Engineering, Henan University of Science and Technology, 471003 Luoyang, China
Abstract:
Rapid solidifiation is a kind of new process for enhancing the hardness and electrical conductivity of Cu-Cr-Zr copper alloy.The use of BP neural network(NN) is presented to model the non-linear relationship between parameters of age hardening processes and the mechanical and electrical properties of rapdily solidified Cu-Cr-Zr alloy.The improved model is developed by the Levenberg-Marquardt training algorithm and the good generalization performance is demonstrated.So,an important foundation has been laid for optimisticaly controlling the rapidly solidified aging processes of Cu-Cr-Zr alloy.
Keywords:Cu-Cr-Zr alloy  rapid solidification  aging  BP neural network  Levenberg-Marquard algorithm
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