Int. J. of Innovative Computing and Applications   »   2011 Vol.3, No.3

 

 

Title: The optimisation research of screw conveyor

 

Author: Jiang-hui Cai, Wen-jun Meng, Zhi-mei Chen

 

Addresses:
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

 

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.

 

Keywords: particle swarm optimisation; PSO; parameter optimisation; innovative computing; screw conveyors; mechanical engineering design; driving drum; stochastic optimisation.

 

DOI: 10.1504/IJICA.2011.041918

 

Int. J. of Innovative Computing and Applications, 2011 Vol.3, No.3, pp.169 - 176

 

Submission date: 16 Aug 2010
Date of acceptance: 29 Nov 2010
Available online: 15 Aug 2011

 

 

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