TY - JOUR ID - 171527 TI - Improving the performance of a two-phase ejector using genetic algorithm based on secondary fluid entrainment rate JO - Iranian Journal of Chemical Engineering(IJChE) JA - IJCHE LA - en SN - 1735-5397 AU - Moghadasi, M. AU - Moraveji, M. AU - Alizadeh, O. AD - aDepartment of Chemical Engineering, Borujerd Branch, Islamic Azad University, Borujerd, Iran AD - Amirkabir university of technology (Tehran Polytechnic) AD - Department of Chemistry and Chemical Engineering, Rasht branch, Islamic Azad University, Rasht, Iran. Y1 - 2022 PY - 2022 VL - 19 IS - 4 SP - 95 EP - 109 KW - Entrainment rate of secondary fluid KW - gas-liquid ejector KW - recovery of flare gas KW - geometry design KW - multi-objective genetic algorithm optimization KW - Computational Fluid Dynamics DO - 10.22034/ijche.2023.390350.1488 N2 - Ejectors offer a cost-effective and practical solution for recovering flare gases, thereby reducing greenhouse gases. Improving the entrainment rate of the secondary fluid can enhance ejector performance. The objective of this research is to identify the optimal ejector geometry to maximize the absorption rate of the secondary fluid. Computational fluid dynamics is used to evaluate a two-phase ejector. Geometric parameters such as throat diameter and length, nozzle diameter, and converging and diverging angles impact the absorption rate of the secondary fluid. Using a multi-objective genetic algorithm, the optimal values for each parameter are obtained. The results show that reducing the throat length and angle of the converging section, as well as nozzle diameter, leads to increased absorption. In contrast, the throat and angle of the divergent section increase absorption. Additionally, energy efficiency is investigated under basic and optimized geometries. The findings reveal that increasing the soak range does not necessarily enhance energy efficiency. UR - https://www.ijche.com/article_171527.html L1 - https://www.ijche.com/article_171527_eb4a199b571103c1032aa67c56b4c49c.pdf ER -