The optimisation research of screw conveyor

  • Authors:

  • Jiang-hui Cai;Wen-jun Meng;Zhi-mei Chen

  • Affiliations:

  • Mechanical and Electronic Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China.;Mechanical and Electronic Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China.;Mechanical and Electronic Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China

  • Venue:
  • International Journal of Innovative Computing and Applications
  • Year:
  • 2011

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Abstract

Particle swarm optimisation (PSO) is a population-based stochastic optimisation 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 particulate 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 optimisation 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 optimisation function is built up, then the operation parameter of screw conveyor is precision optimised with PSO algorithm, which offer a foundation to design more reasonable structure for driving drum in order to meet the application demands.