Mixing is an important step in the manufacturing process of many industrial products. However, most traditional mixing equipment has complex structures, high processing difficulty, and is relatively heavy, which does not meet the lightweight design requirements. Therefore, this article optimizes the structure and transmission method of traditional mixers, establishes a virtual prototype model of the mixer, and builds a physical prototype and electric control system to conduct mixing experiments. The study explores the actual impact of different mixing conditions such as spindle speed, filling rate, initial distribution form, tank motion type, particle size, and density differences on mixing efficiency. The results show that at the same time, as the spindle speed increases and the material filling rate decreases, the mixing effect of the particles improves, and uniformity increases. Under the same conditions, the effects of the initial distribution form of the particles and the motion form of the tank on mixing efficiency are relatively small. However, the differences in particle size and density among the mixed particles can severely reduce the mixing efficiency of the materials. This provides a scientific basis and application guidance for optimizing mixing processes, improving equipment performance, and enhancing material mixing quality.
Wen et al. (Sat,) studied this question.