Title: Parameter optimisation design of mixing and distributing system of vertical biaxial bladed mixer

Authors: Yajun Liu; Yizhuo Zhao; John Lumkes; Shenchao Zhang; Kun Yu; Litao Chen

Addresses: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong 510641, China ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong 510641, China ' Purdue University, West Lafayette, Indiana 47907, USA ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong 510641, China ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong 510641, China ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong 510641, China

Abstract: Powder is a significant raw material in the industrial production. Considering the importance of mixing process in the powder industry, the parameters of the vertical biaxial bladed mixer include rotating revolutions of mixer, rotational speed, rising velocity of outer mould and position of starting stirring were chosen as orthogonal experimental factors and a series of orthogonal texts were carried out. A system error was verified as the installation angle of blade. Then, discrete element method simulations were carried out to verify the correctness of the analysis of system error and contrast experiments indicated the optimised structure would make the weight of four bricks closer and have stronger self-regulation ability than the original structure. Finally, a set of optimisation parameters was proposed as an effective combination to improve the uniformity of the mixing and distributing system.

Keywords: biaxial bladed mixer; powder mixing process; orthogonal experiment; distinct element method; parameter optimisation.

DOI: 10.1504/IJHM.2023.130519

International Journal of Hydromechatronics, 2023 Vol.6 No.2, pp.133 - 158

Received: 14 Apr 2022
Accepted: 15 Nov 2022
Published online: 25 Apr 2023 *

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