Intelligent operation parameters optimization for screw conveyor based on PSO
Particle swarm optimization (PSO) is a population based stochastic optimization technique. As a result, PSO algorithm is widely used in mechanical engineering design field. Screw conveyors are used extensively in agriculture and processing industries for elevating and/or transporting bulk materials over short to medium distances. They are very effective for conveying dry participate solids, giving good control over the throughput Despite their apparent simplicity, the transportation action is very complex and designers have tended to rely heavily on empirical performance data. Intelligent operation parameters. optimization for screw conveyor based on PSO is studied in this paper. This thesis takes a heavy driving drum of screw conveyor as an example, firstly, the optimization function is built up, then the operation parameter of screw conveyor is precision optimized with PSO algorithm, which offer a foundation to design more reasonable structure for driving drum in order to meet the application demands.
Particle swarm optimization screw conveyor parameters optimization
Jianghui Cai Wenjun Meng
Mechanical and Electronic Engineering College Taiyuan University of Science and Technology Taiyuan, China
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
37-40
2010-09-26（万方平台首次上网日期，不代表论文的发表时间）