Optimization of Spiral Shaft Parameters of Particle Type Conveyor Based on Particle Swarm Optimization

DOI

10.2991/ice2me-19.2019.25How to use a DOI?

Keywords

screw axis; particle swarm optimization; orthogonal test; parameter optimization; finite element method

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -