MODELING RECTIFICATION PROCESS AND IMPROVING EFFICIENCY OF COLUMN APPARATUSES IN ORGANIC SOLVENT SEPARATION AND PURIFICATION TECHNOLOGY
Authors
Umida Shabarova
Sugdiyona Abdurasulova
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Abstract
Rectification represents a critical separation process in organic solvent purification technology, yet optimizing column efficiency remains challenging for many industrial applications. This article examines modeling approaches for rectification processes and strategies to enhance column apparatus performance in organic solvent systems. Through reviewing contemporary research and analyzing operational parameters, we explore how computational modeling combined with equipment design modifications can improve separation efficiency and reduce energy consumption. The study presents simulation results for binary organic solvent mixtures and evaluates different column configurations. Our findings demonstrate that integrated modeling approaches coupled with optimized tray design significantly enhance separation performance while reducing operational costs. These results provide practical guidance for industrial practitioners seeking to improve rectification efficiency in organic solvent recovery and purification systems.
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