Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing;
基于遗传BP网络的PID控制算法在无模拉拔温度控制中的应用
The Polyaniline/nano-Gd2O3 composite materials was obtained by template-free method in the presence of ammonium per-sulfate [(NH4)2S2O8] as an oxidant with ethanedioic acid as dopant.
SEM结果显示形貌为片状,其粒径在50~200nm左右;同时用乙二酸做掺杂剂,过硫酸铵做氧化剂,采用无模板法制备了聚苯胺/纳米氧化钆复合材料,并用红外光谱、X射线衍射光谱对其进行了表征,并测定了复合物的电导率。
Velocity field and variation of wall thickness are studied theoretically during tube dieless upsetting.
对管材无模扩径变形速度场及壁厚变化规律进行了理论及实验研究。