Optimization of flow characteristics of gas–solid separators based on NSGA-II and entropy-weighted TOPSIS

Wu, X. and Xiao, Y. and Zhang, J. and Yu, D. and Liu, Y. and Mao, S. and Du, Y. (2026) Optimization of flow characteristics of gas–solid separators based on NSGA-II and entropy-weighted TOPSIS. Advanced Powder Technology, 37 (7): 105289. ISSN 0921-8831

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Abstract

To address the challenges of controlling particle loss rate and outlet purity in high-concentration particulate systems, this study develops a CFD-DDPM-based gas–solid two-phase flow model. Combined with the NSGA-II algorithm and the entropy-weighted TOPSIS method, the effects of feed velocity, suction pressure, and throwing roller speed on separation performance are systematically analyzed. The results indicate that the SST k–ω turbulence model coupled with the dense discrete phase model can accurately simulate the internal flow field of the separator, with simulation errors controlled within 5%. Regression models for particle loss rate and outlet purity were established using the Box–Behnken design, yielding coefficients of determination (R2) of 0.9724 and 0.9397, respectively. Significance analysis shows that feed velocity is the most influential factor. Based on these regression models, multi-objective optimization using the NSGA-II algorithm produced a set of Pareto-optimal solutions. The Pareto front was comprehensively evaluated using the entropy-weighted TOPSIS method, and the optimal parameter combination was determined as follows: feed velocity of 1.89 m/s, suction pressure of 6539 Pa, and throwing roller speed of 350 rpm. Under these conditions, the particle loss rate is 0.0387%, and the outlet purity reaches 98.9189%, with deviations between simulated and predicted values less than 2%. These findings provide theoretical support and engineering guidance for separation optimization of high-concentration particulate systems.