Open AccessReliability optimization analysis of blades of the mixer based on stress-strength interference model
Author(s) -
Nan-Xi Li,
Haiying Cheng,
Liu Jiang
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/2/022063
Subject(s) - reliability (semiconductor) , particle swarm optimization , stress (linguistics) , interference (communication) , structural engineering , service life , engineering , mechanical engineering , computer science , algorithm , electrical engineering , power (physics) , linguistics , physics , philosophy , channel (broadcasting) , quantum mechanics
In order to increase the service life of mixer blades, the reliability of mixer blades is optimized. In this paper, the reliability of the blade of the mixer is calculated by combining the stress-strength interference model and the discrete element method. Furthermore, the orthogonal experimental design and regression analysis are combined to obtain a significantly higher regression equation with fewer experiments. According to the established relationship between the mixer parameters and the reliability of the blades, with reliability as the goal, particle swarm optimization is used to optimize the parameters of the mixer. Finally, a twin-shaft mixer that mixes foamed asphalt mixture is used as an example to verify the feasibility of this optimization method.