采用了热模拟实验机研究了Al-Cu-Mg-Ag耐热铝合金的热压缩变形行为.实验的温度和应变速率分别为340-500℃,0.001-10s-1.分别用了本构方程和人工神经网络来对Al-Cu-Mg-Ag合金的流变行为进行了分析和模拟.神经网络的结构是3-20-1:输入参数是温度,应变速率和应变;输出参数是流变应力.结果表明该合金的流变曲线出现加工硬化、过渡、软化和稳态流变这4个阶段,流变应力随着应变速率的增加而增大,随着变形温度的下降而减少.用所建立的神经网络模型预测了变形温度和应变速率对流变应力的影响,预测的结果与热压缩变形的基础理论吻合得很好,而且该模型可以很好地描述Al-Cu-Mg-Ag合金的流变应力,在应变速率为0.001-10 s-1的条件下,其平均相对误差分别为3.68%,3.98%,1.53%,3.53%和2.04%.这表明神经网络的预测性能优良,具有很强的推广能力.同时通过本构方程和神经网络的预测结果比较看出神经网络模型的相关系数比较高,而且神经网络比本构方程有更好的预测性能.神经网络可以预测不同应变下的相应的流变应力,但是本构方程只可以根据不同的应变速率和温度来预测峰值应力.
参考文献
| [1] | Pohnear I J;Cooper M J .Design development of an experimen-tal wrought aluminum alloy for use at elevated temperatures[J].Metallurgical and Materials Transactions A:Physical Metallurgy and Materials Science,1988,19:1027. |
| [2] | Chang CH;Lee SL;Lin JC;Yeh MS;Jeng RR .Effect of Ag content and heat treatment on the stress corrosion cracking of Al-4.6Cu-0.3Mg alloy[J].Materials Chemistry and Physics,2005(2/3):454-462. |
| [3] | Xiao D H;Wang J N;Ding D Y;Chen S P .Effect of Cu con-tent on the mechanical properties of an Al-Cu-Mg-Ag alloy[J].Journal of Alloys and Compounds,2002,343(1-2):77. |
| [4] | 肖代红,陈康华,宋旼.铈对Al-Cu-Mg-Mn-Ag合金时效析出与显微组织的影响[J].中国有色金属学报,2007(05):669-675. |
| [5] | 张坤,戴圣龙,黄敏,杨守杰,颜鸣皋.高纯Al-Cu-Mg-Ag合金的多级断续时效工艺研究[J].航空材料学报,2007(04):1-5. |
| [6] | 陈瑞强,沈健,毛柏平.Al-Cu-Mg-Ag合金形变热处理工艺研究[J].稀有金属,2009(02):175-179. |
| [7] | 熊益民,张永安,朱宝宏,王锋,刘红伟,熊柏青.Al-4.8Cu-0.5Mg-0.3Ag-0.15Zr合金固溶工艺的研究[J].稀有金属,2009(03):309-313. |
| [8] | XIAO Dai-hong,HUANG Bai-yun.Effect of Yb addition on precipitation and microstructure of Al-Cu-Mg-Ag alloys[J].中国有色金属学会会刊（英文版）,2007(06):1181-1185. |
| [9] | B. M. Gable;G. J. Shiflet;E. A. Starke Jr. .The effect of Si additions on Ω precipitation in Al-Cu-Mg-(Ag) alloys[J].Scripta materialia,2004(1):149-153. |
| [10] | Benaett M R .Influence of ddonmation conditions and texture on the high temperature flow stress of magnesium AZ31[J].Journal of Light Metals,2001,1(03):167. |
| [11] | Cavaliers P .Flow curve prediction of an Al-MMC under bot working conditions using neural networks[J].Computational Materials Science,2007,38(04):722. |
| [12] | 张乐福;谢长生;张以增 .人工神经网络在材料实验数据处理中的应用[J].材料科学与工艺,1997,5(01):28. |
| [13] | 李锡武,熊柏青,张永安,华成,王锋,朱宝宏,熊益民.新型Al-Zn-Mg-Cu合金热变形流变应力特征[J].稀有金属,2008(05):552-557. |
| [14] | Zener C;Hollomon J H .Effect of strain-rate upon the plastic flow of steel[J].Journal of Applied Physics,1944,15(01):22. |
| [15] | 张智星.神经-模糊和软计算[M].西安:西安交通大学出版社,2000:177. |
| [16] | Srinivasulu S;Jain A .A comparative analysis of training meth-ods for artificial neural network rainfall-runoff models[J].Ap-plied Soft Computing,2006,6(03):295. |
| [17] | Chuan M S;Biglou J;Lenard J G;Kim J G .Using neural net-works to predict parameters in the hot working of aluminum alloys[J].Journal of Materials Processing Technology,1998,86(1-3):245. |
上一张
下一张
上一张
下一张
计量
- 下载量()
- 访问量()
文章评分
- 您的评分：
-
10%
-
20%
-
30%
-
40%
-
50%