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Abstract：
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Constitutive relationship is the medium between dynamic response of materials during plastic working processes and thermomechanical parameters, so it is regarded as the prerequisite for simulation of forming processes by using finite element method.Because of its high nonlinearity, the constitutive relationship for wrought superalloys formulated by mathematical statistics according to Arrhenius type equations is not convenient to incorporate into finite element software due to complexity of its structure.In this paper an attempt is made to establish the constitutive relationship for wrought superalloys using artificial neural networks (ANN) which is a new tool to process information.It is found that the predictions of constitutive relationship characterized by ANN are in more close agreement with experimental data than that of the constitutive equation established by mathematical statistics.It shows the promising prospect of using ANN to characterize the constitutive relationship for engineering materials.
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Funds：
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教委博士点基金,航空基金
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AuthorIntro：
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Reference：
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1KPRao，EBHaobolt．DevelopmentofConstitutiveRelationshipUsingCompressionTestingofMediumCarbonStel．JournalofMaterialsandEngineering，Vol．114，Jan－uary1992，pp．116～1232刘东，罗子健．以Zener－Holomon参数表示GH169合金的本构关系。塑性工程学报，1995，2（1）：15～223G．Kreus，etal．Deformation，ProcessingandStruc－ture．ASM，MetalsPark，Ohio，1984．4周纪华，黄克智．金属塑性变形阻力．北京：机械工业出版社，1987．5胡守仁等编著．神经网络导论．长沙：国防科技大学出版社，1993．6史忠植．神经计算．北京：电子工业出版社，1993．7JMZurado．ArtificialNeuralSystem．WestPublish－ingCo．，1992．8KPRao，YKDVPrasad．NeuralNetworkAp－proachtoFlowStresEvaluationinHotDeformation．JournalofMaterialsProcesingTechnology，52（1995）pp．552～5669丰建朋．变形高温合金的本构关系及其应用．西北工业大学硕士论文，1997．
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