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作 者:刘亚秀[1] 刘雅芳[2] 姜艳梅[3] 由伟[3]
机构地区:[1]华北科技学院电信工程学院,河北三河065201 [2]上海工程技术大学材料工程学院,上海201620 [3]华北科技学院机电工程学院,河北三河065201
出 处:《稀有金属》2013年第6期876-882,共7页Chinese Journal of Rare Metals
摘 要:设计了径向基函数型人工神经网络模型,研究TA15钛合金的抗拉强度与热加工工艺参数的关系。用“留一法”训练了神经网络模型并对它的预测性能进行了测试,散点图和统计学指标均表明,人工神经网络模型经过训练后,具有较高的预测精度和可靠性。用训练好的神经网络模型预测了6个样本的抗拉强度,预测值与相应的实验测试值很接近,3个误差统计学指标的值分别为MSE=20.9,MRSE=2.11%.VOF=1.9895,这表明实验结果很好地验证了神经网络模型的计算结果,说明人工神经网络的预测结果是准确、可靠的。最后用神经网络模型分析了热加工工艺参数与抗拉强度间的定量关系,结果表明:加热温度在780~040℃之间时,随着加热温度r的升高,TA15钛合金的抗拉强度随之提高:加热温度为780℃时,抗拉强度为961.7MPa,当加热温度升到940℃时,抗拉强度提高到了978.3MPa;应变量在0.5~0.9范围时,随着应变量的增加,钛合金的抗拉强度也提高:应变量为0.5时,抗拉强度为973MPa,当应变量达到0.9时,抗拉强度增加到了1020MPa;应变速率在0.003—0.007s^-1范围内时,随着应变速率的增加,钛合金的抗拉强度也提高:应变速率为0.003s。时,抗拉强度为974MPa,当应变速率达到0.007s^-1时,抗拉强度增加到了986.5MPa。Radial-basis function artificial neural network (ANN) was developed to study the quantitative relationship between the ten- sile strength and hot-process parameters of TA15 Ti alloys. "Leave-one out" method was used to train and validate the ANN model. Both scatter diagram and statistical criteria showed that after training, the prediction performance was satisfactory. After being trained, ANN model was used to predict the tensile strengths of six samples, the prediction values agreed well with the measured ones, the values of three statistical index were MSE = 20.9, MRSE = 2.11%, VOF = 1. 9895, which showed that the experimental results validated the pre- diction results, and the prediction results of ANN model were accurate and reliable. The quantitative effects of hot-process parameters on the tensile strength were analyzed by ANN model. The results showed that in the range of 780 -940 ~C, with the temperature increasing, the tensile strength increased: the tensile strength was 961.7 MPa at 780 ~C, and when the temperature increased to 940 ℃, the tensile strength increased to 978.3 MPa; in the range of 0.5 - 0.9, with the increase of the strain, the tensile strength also increased: when the strain was 0.5, the tensile strength was 973 MPa, and when the strain increased to 0.9, the tensile strength increased to 1020 MPa; in the range of 0.003 - 0.007 s^-1, with the increase of the strain rate, the tensile strength also increased : when the strain rate was 0. 003 s^-1, the tensile strength was 974 MPa, and when the strain rate increased to 0.007 s^-1, the tensile strength increased to 986.5 MPa.
关 键 词:TA15钛合金 抗拉强度 热加工工艺参数 人工神经网络 定量影响
分 类 号:TG146.23[一般工业技术—材料科学与工程]
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