کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1654475 1007695 2005 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of aging treatment in lead frame copper alloy by intelligent technique
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد فناوری نانو (نانو تکنولوژی)
پیش نمایش صفحه اول مقاله
Optimization of aging treatment in lead frame copper alloy by intelligent technique
چکیده انگلیسی

An intelligent technique of artificial neural networks combined with genetic algorithms is developed for the analysis and optimization of the correlation between heat treatment parameters and properties in Cu–Cr–Sn–Zn lead frame alloy. A supervised artificial neural network (ANN) to model the nonlinear relationship between parameters of aging treatment with respect to hardness and conductivity properties was proposed for the alloy. The ANN sub-model improved by the Levenberg–Marquardt training algorithm has good generalization performance. Genetic algorithms (GAs) are used to optimize the input parameters of aging temperature and time. The verifying experiment has shown that the theoretical optimization agrees with the experimental evidence.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials Letters - Volume 59, Issue 26, November 2005, Pages 3337–3342
نویسندگان
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