| Abstrakt: |
[Objective] As an integral aspect of the charging process of fusion casting, the solid--liquid mixing process establishes the mixing uniformity of solid--liquid two-phase multicomponent materials, subsequently influencing the final charge quality. Vital components at this stage, reasonable structural parameters of the ribbon-punch quadrangle impeller will notably improve the performance of solid--liquid mixing. However, due to the absence of efficient blade structure optimization methodologies, the design of the blade structural parameters primarily depends on prior experience at present. Therefore, obtaining the optimal structural parameters of the blade is difficult. [Methods] This study employs numerical simulation, the optimal Latin hypercube design (OLHD) method, the response surface method, and a multi-objective optimization algorithm to optimize the crucial structural parameters of the blade. First, four critical parameters of the solid--liquid mixing agitator (the blade height from the bottom, blade layer spacing, blade angle, and ribbon width) are chosen as optimization variables to enhance the mixing uniformity of solid and liquid and minimize power consumption. Subsequently, the OLHD method is adopted to design the simulation experiment, and 50 groups of sample data based on computational fluid dynamics (CFD) simulation are obtained. Then, a second-order response surface proxy model of the blade structure parameters is constructed based on the sample data. In addition, a multi-objective optimization mathematical model of the blade structure parameters is established considering the optimization variable constraint range. Finally, to overcome the issue that the traditional Aquila optimization algorithm is susceptible to falling into a local optimum due to a decrease in population diversity, this study proposes an improved multi-objective Aquila optimization (IMOAO) algorithm that introduces an elite chaos reverse learning strategy and the Cauchy--Gaussian mutation strategy. The IMOAO algorithm is utilized to solve the multi-objective optimization problem of the impeller structure parameters, thereby obtaining the optimal combination of these parameters. [Results and Conclusions] Compared with the initial design, the mixing uniformity of the optimized blade was elevated by 11.96%, while power consumption remained essentially the same. Concurrently, coupled with the distribution of the solid-phase concentration in the tank before and after blade optimization, the distribution uniformity of the solid-phase concentration in the optimized stirring tank was found to be decidedly superior to that in the initial design, and uniform mixing was effectively attained. This further validates the efficacy of the multi-objective optimization methodologies of the blade structure parameters. [ABSTRACT FROM AUTHOR] |
