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基于人工神经网络模型的铝合金大气腐蚀的预测

王海涛 , 韩恩厚 , 柯伟

中国腐蚀与防护学报

用BP神经网络预测了铝合金大气腐蚀,研究了网络的训练精度和预测精度的关系,建立7-5-1的模型结构,模型相关系数为08821,预测结果比较理想.利用单一因素敏感性分析,计算了合金元素和环境因素对于铝合金大气腐蚀速率的影响.

关键词: BP神经网络 , Prediction , Atmospheric corrosion , Sensitivity analysis

航天产品非金属材料/制品贮存寿命评估技术

赵云峰 , 许文

宇航材料工艺 doi:10.3969/j.issn.1007-2330.2015.06.004

从非金属材料老化机理与寿命预测模型、老化行为表征技术、贮存环境试验与寿命评估技术等方面,概述了国内外的技术发展和现状,介绍了航天产品用非金属材料及制品贮存寿命评估技术的发展及其应用进展.

关键词: 非金属材料 , 复合材料 , 贮存寿命 , 贮存期 , 老化 , 评估 , 航天

Comparison of the Molecular Interaction Volume Model with the Wagner Formulae in the Zn-Pb-In and Zn-Sn-Cd-Pb Dilute Solutions

Dongping TAO , Zhuo CHEN , Dunfang LI , Yifeng GAO , Qianghua SHEN

材料科学技术(英文)

The coordination numbers in the molecular interaction volume model (MIVM) can be calculated from the common physical quantities of pure liquid metals. A notable feature of the model lie in its capability to predict the thermodynamic properties of solutes in the Zn-Pb-In and Zn-Sn-Cd-Pb dilute solutions using only the binary infinite dilute activity coefficients, and the predicted values are in good agreement with the experimental data of the dilute solutions.

关键词: Activity , null , null , null

Prediction Of The Mixing Enthalpies Of Binary Liquid Alloys By Molecular Interaction Volume Model

H.W. Yang , D.P. Tao , Z.H. Zhou

金属学报(英文版)

The mixing enthalpies of 23 binary liquid alloys are calculated by molecular interaction volume model (MIVM), which is a two-parameter model with the partial molar infinite dilute mixing enthalpies. The predicted values are in agreement with the experimental data and then indicate that the model is reliable and convenient.

关键词: Molecular interaction volume model , null , null , null

A novel molecular interaction chemical model for silicate melts

Dongping TAO

金属学报(英文版)

A novel molecular interaction chemical model (MICM) for silicate melts has been suggested based on statistical thermodynamics. It can simultaneously predict activities of all components in the CaO-FeO-SiO2 and CaO-Al2O3-SiO2 melts using only four binary parameters for each binary melt which can be determined by fitting activities of its two components. The results indicate that the predicted values of activity of FeO and SiO2 are in good agreement with the experimental data at 1823 K and 1873 K, and those of CaO, SiO2 and Al2O3 are in reasonable agreement with the graphical integration data of the Gibbs-Duhem equation. This shows that the model is effective in which the physical interaction plays a main role and the chemical one does the auxiliary function.

关键词: Activity , Prediction , Oxide melts , Silicates , A novel model

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