Multi-objective optimization design of Screw conveyor using Genetic Algorithm

被引：1

作者：

Wang Duanyi ^{[1
]}

机构：

[1] Jiangsu Jianzhu Inst, Sch Mech & Elect Engn, Xuzhou 221116, Peoples R China

来源：

THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2 | 2013年 / 732-733卷

关键词：

multi-objective; genetic algorithm; optimization; screw conveyor;

D O I：

10.4028/www.scientific.net/AMR.732-733.402

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The weight minimum and drive efficiency maximal of screw conveyor were considered as double optimizing objects in this paper. The mathematical model of the screw conveyor has been established based on the theory of the machine design, and the genetic algorithm was adopted to solving the multi-objective optimization problem. The results show that the mass of spiral shaft reduces 13.6 percent, and the drive efficiency increases 6.4 percent because of the optimal design based on genetic algorithm. The genetic algorithm application on the screw conveyor optimized design can provided the basis for designing the screw conveyor.

引用

页码：402 / 406

页数：5