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Parameters Optimization of Plasma Hardening Process Using Genetic Algorithm and Neural Network

LIU Gu , WANG Liu-ying , CHEN Gui-ming , HUA Shao-chun

钢铁研究学报(英文版)

Plasma surface hardening process was performed to improve the performance of the AISI 1045 carbon steel. Experiments were carried out to characterize the hardening qualities. A predicting and optimizing model using genetic algorithm-back propagation neural network (GA-BP) was developed based on the experimental results. The non-linear relationship between properties of hardening layers and process parameters was established. The results show that the GA-BP predicting model is reliable since prediction results are in rather good agreement with measured results. The optimal properties of the hardened layer were deduced from GA. And through multi optimizations, the optimum comprehensive performances of the hardened layer were as follows: plasma arc current is 90 A, hardening speed is 22 m/min, plasma gas flow rate is 60 L/min and hardening distance is 43 mm. It concludes that GA-BP mode developed in this study provides a promising method for plasma hardening parameters prediction and optimization.

关键词: plasma transferred arc , surface hardening , optimization , neural network , genetic algorithm

NiO/FeCo磁性多层膜的高频磁性

李玉伟 , 陈继红 , 唐东明 , 张豹山 , 鹿牧 , 陆怀先

功能材料与器件学报 doi:10.3969/j.issn.1007-4252.2010.02.011

制备了一系列具有铁磁/反铁磁交换偏置作用的[NiO/Fe65Co35]10多层膜,使用振动样品磁强计(VSM)测量了样品的静磁参数,利用微带线法测量了样品4GHz-10GHz的磁谱,首次制备并测得了自然共振频率(fr)在6GHz以上,最高到f=9.6GHz的薄膜样品.结果表明交换偏置场(Hex)、各向异性场(Hua)、以及矫顽力(Hc)随铁磁层厚度(tFM)增大而减小;基于Landau-Lifishitz (L-L)方程对静磁参量和磁谱进行了比较,发现样品自然共振频率较L-L方程计算值偏大30%以上.

关键词: 铁磁 , 反铁磁 , 交换偏置场 , 各向异性场 , 交换耦合能密度 , 自然共振频率

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