材料期刊网

Development of mathematical model with a genetic algorithm for automatic arc welding process

金属学报(英文版)

关键词: 遗传算法 , 数学模型 , 焊接过程 , 焊接工艺参数 , 智能模型 , 利用开发 , 方差检验 , 弧焊机器人

A Genetic Algorithm for Simultaneous Determination of Thin Films Thermal Transport Properties and Contact Resistance

Zhengxing HUANG , Zhen'an TANG , Ziqiang XU , Haitao DING , Yuqin GU

材料科学技术（英文）

A genetic algorithm (GA) was studied to simultaneously determine the thermal transport properties and the contact resistance of thin films deposited on a thick substrate. A pulsed photothermal reflectance (PPR) system was employed for the measurements. The GA was used to extract the thermal properties. Measurements were performed on SiO2 thin films of different thicknesses on silicon substrate. The results show that the GA accompanied with the PPR system is useful for the simultaneous determination of thermal properties of thin films on a substrate.

关键词: Thin film , 遗传算法 , 薄膜 , 热输运性质

Semi-solid Pressing Bonding Strength between Steel and Cu-graphite Composite

Peng ZHANG , Yunhui DU , Hanwu LIU , Daben ZENG , Jianzhong CUI , Limin BA

材料科学技术（英文）

The pressing bonding of steel plate with QTi3.5-3.5graphite slurry was studied. The relationship among preheating temperature of steel plate, preheating temperature of dies, solid fraction of QTi3.5-3.5graphite slurry, and interfacial shear strength of bonding plate could be established with artificial neural networks perfectly. This model could be optimized with a genetic algorithm. The results show that the optimum bonding parameters are: 618℃ for preheating temperature of steel plate, 526℃ for preheating temperature of dies and 46.2% for solid fraction of QTi3.5-3.5graphite slurry, and the largest interfacial shear strength of bonding plate is 128.3 MPa.

关键词: Steel-mushy QTi3.5-3.5graphite bonding , null , null