Optimization of Spiral Shaft Parameters of Particle Type Conveyor Based on Particle Swarm Optimization
- 10.2991/ice2me-19.2019.25How to use a DOI?
- screw axis; particle swarm optimization; orthogonal test; parameter optimization; finite element method
Design parameters for the helical axis are heavily dependent on empirical performance data. In this paper, Optimization of Spiral Shaft Parameters for screw conveyor based on the Particle swarm optimization (PSO) is studied. The PSO algorithm is used to solve the problem of parameter optimization under different initial conditions. Firstly, according to the orthogonal experimental method, the screw shaft finite element simulation test was carried out to obtain the maximum principal stress of the spiral blades of each group. Secondly, the numerical model of maximum principal stress and design variable were established by the numerical fitting. What’s more, with the optimization goal of minimum surface stress and maximum conveying capacity, two targets are converted into single-objective optimization problem by the form of ratio. Compared with the traditional design method show that this method made the maximum principal stress decreases significantly and effectively extending its service life.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fuqiang He AU - Xuelian Yao AU - An Ping AU - Hong Luo AU - Sizhuang Xie PY - 2019/03 DA - 2019/03 TI - Optimization of Spiral Shaft Parameters of Particle Type Conveyor Based on Particle Swarm Optimization BT - Proceedings of the 2019 International Conference on Electronical, Mechanical and Materials Engineering (ICE2ME 2019) PB - Atlantis Press SP - 114 EP - 119 SN - 2352-5401 UR - https://doi.org/10.2991/ice2me-19.2019.25 DO - 10.2991/ice2me-19.2019.25 ID - He2019/03 ER -