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Aging Precipitation Characteristics of Lead Frame Cu-Cr-Zr-Mg Alloy 被引量:4
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作者 DONGQi-ming SUJuan-hua +2 位作者 LIUPing LIHe-jun kangbu-xi 《材料热处理学报》 EI CAS CSCD 北大核心 2004年第5期157-160,共4页
This paper presents the effects of aging processes on the properties and microstructure of Cu-0.3Cr-0.15Zr-0.05Mg lead frame alloy. Optimal conditions for good hardening and electrical conductivity can be obtained by ... This paper presents the effects of aging processes on the properties and microstructure of Cu-0.3Cr-0.15Zr-0.05Mg lead frame alloy. Optimal conditions for good hardening and electrical conductivity can be obtained by solution treating at 920 °C for Ih and aging at 470^0 for 4h and at 550^ for Ih. The hardness and electrical conductivity can reach 108HV, 73%IACS and 106HV, 76%IACS, respectively. Aging precipitation was dealt with by transmission electronic microscope (TEM). At 470 °C aging for 4h the fine precipitation of an ordered compound CrCu2(Zr,Mg) is found in matrix as well as fine Cr and Cu4Zr. Aging at 550’C for Ih some precipitates are still coherent with matrix. The CrCu2(Zr,Mg) completely dissolves into Cr and Cu4Zr. 展开更多
关键词 CU-CR-ZR-MG合金 阶段析出 冷作时效 导电率
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The Rapidly Solidified Aging Copper Alloy by BP Neural Network 被引量:1
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作者 苏娟华 DONGQi-ming +2 位作者 LIUPing LIHe-jun kangbu-xi 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2003年第4期50-53,共4页
Rapid solidifiation is a kind of new process for enhancing the hardness and electrical conductivity of Cu-Cr-Zr copper alloy.The use of BP neural network(NN) is presented to model the non-linear relationship between p... Rapid solidifiation is a kind of new process for enhancing the hardness and electrical conductivity of Cu-Cr-Zr copper alloy.The use of BP neural network(NN) is presented to model the non-linear relationship between parameters of age hardening processes and the mechanical and electrical properties of rapdily solidified Cu-Cr-Zr alloy.The improved model is developed by the Levenberg-Marquardt training algorithm and the good generalization performance is demonstrated.So,an important foundation has been laid for optimisticaly controlling the rapidly solidified aging processes of Cu-Cr-Zr alloy. 展开更多
关键词 Cu-Cr-Zr alloy rapid solidification AGING BP neural network Levenberg-Marquard algorithm
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