The purpose of this paper is to solve the problem of low conveying
efficiency and serious blade wear during vertical screw conveying of
cohesive particles. Firstly, the reliability of DEM simulation was verified
by comparing the simulated and theoretical values and the influence
regularity of different design parameters (rotational speed, pitch, and
clearance) on screw conveying characteristics were analyzed based on
DEM. In addition, the effect of design parameters on the screw
conveying characteristics is identified by ANOVA. Then, the multiobjective optimization model with the both of maximizing the average
mass flow rate and minimizing the maximum wear depth of the blade
was established using the polynomial fitting regression, which was
solved by the non-dominated sorting genetic algorithm (NSGA-II).
Finally, the comprehensive evaluation was used to determine the best
design parameters. The above research results provide a certain
reference for the study of cohesive particle’s vertical screw conveying
characteristics and equipment optimization design.