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Analysis of Hydrocyclone Geometry via Rapid Optimization Based on Computational Fluid Dynamics
Author(s) -
Liu Lin,
Zhao Lixin,
Reifsnyder Samuel,
Gao Sheng,
Jiang Minzheng,
Huang Xueqiang,
Jiang Minghu,
Liu Yang,
Rosso Diego
Publication year - 2021
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.202100121
Subject(s) - computational fluid dynamics , hydrocyclone , computer science , shape optimization , mathematical optimization , mathematics , engineering , mechanics , finite element method , physics , structural engineering , aerospace engineering
Hydrocyclones exploit density gradients for the centrifugal separation of dispersions in a continuous liquid. Selection of the geometrics for optimal separation is case specific, like the media characteristics. The existing optimization method based on computational fluid dynamics (CFD) provides a powerful analytical tool but requires long computational times. The most common praxis for CFD optimization is via the single‐factor optimization method (SFOM). In this study, a novel approach is presented as an improved rapid optimization method that implements a dynamic‐mesh and user‐defined function optimization method (DUOM). The DUOM adapts the dynamic‐mesh approach from other applications to the optimization analysis of hydrocyclones. The DUOM reduced the computational time by 31.1 %, compared to the SFOM.