Discrimination and Experimental Study of HSCCC Operational Modal based on LSCF

Abstract

Abstract The dynamic characteristics of high-speed counter-current chromatography (HSCCC) have a significant impact on its separation efficiency and equipment stability. The accurate discrimination of the dynamic characteristic during the separation process constitutes the prerequisite for clarifying the separation mechanism and performance improvement. This study establishes the HSCCC operational modal discrimination model using the least-square complex frequency domain method (LSCF) and then derives the discrimination function based on the cross-power spectral density (CPSD) function and cross-half power spectral density (PSD) function. Then an operational modal acquisition and analysis system was built for the operational modal in three directions at six common speeds. Finally, the inherent frequencies and mode of vibration of the experimental modes were verified by the Modal Assurance Criterion (MAC), Mean Phase Deviation (MPD), Modal Phase Collinearity (MPC), and Mode Indicator Functions (MIF) in this study. The results prove the feasibility of the proposed method. It shows that the CPSD function is more applicable to the HSCCC dynamic performance analysis, which should be considered in the actual separation process analysis.