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BP模型在预测多孔NiTi合金孔隙度和屈服强度上的应用
引用本文:李强,于景媛,穆柏春,孙旭东.BP模型在预测多孔NiTi合金孔隙度和屈服强度上的应用[J].功能材料,2006,37(6):952-954,958.
作者姓名:李强  于景媛  穆柏春  孙旭东
作者单位:东北大学,材料与冶金学院,辽宁,沈阳,110004;辽宁工学院,材料与化学工程学院,辽宁,锦州,121001;东北大学,材料与冶金学院,辽宁,沈阳,110004
基金项目:国家杰出青年科学基金 , 国家自然科学基金 , 辽宁省教育厅资助项目
摘    要:基于BP神经网络的原理,建立了热爆法合成多孔NiTi形状记忆合金孔隙度和压缩屈服强度的神经网络模型.该模型拟合了温度、Ti粉颗粒尺寸和生坯密度对热爆产物孔隙度和压缩屈服强度的影响.当温度、Ti粉颗粒尺寸和生坯密度发生变化时,对反应产物的性能进行了预测,其预测值和实验值非常吻合.因此该模型可用于多孔NiTi形状记忆合金的性能控制,通过对性能的合理调控,使其与所替换的生物组织更加匹配,同时提高研究效率,降低成本.

关 键 词:BP神经网络  热爆  NiTi形状记忆合金  孔隙度  屈服强度
文章编号:1001-9731(2006)06-0952-03
收稿时间:2005-08-29
修稿时间:2005-08-292005-11-01

The application of BP model in predicting porosity and compressive yield strength of porous NiTi alloy
LI Qiang,YU Jing-yuan,MU Bai-chun,SUN Xu-dong.The application of BP model in predicting porosity and compressive yield strength of porous NiTi alloy[J].Journal of Functional Materials,2006,37(6):952-954,958.
Authors:LI Qiang  YU Jing-yuan  MU Bai-chun  SUN Xu-dong
Abstract:Based on BP neutral network theory,the model has been developed for the prediction of porosity and compressive yield strength of porous NiTi shape memory alloy(SMA) prepared by thermal explosion.The results indicate that the model is capable of reproducing the effects of changes in temperature,particle size of Ti and green density on product porosity and compressive yield strength.When temperature,particle size of Ti and green porosity changed,the product properties are predicted.Good agreement between predicted and experimental data is obtained.So the model can be used in the quality control of porous NiTi SMA.By the proper adjustment of the properties,porous NiTi SMA can better match the replaced tissue.This way can improve the efficiency and reduce the cost.
Keywords:BP neutral network  thermal explosion  NiTi SMA  porosity  compressive yield strength
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