Development of novel flow distribution apparatus for simulated moving bed to improve degree of mixing

Abstract Mixing between fluids is an important factor affecting the performance of simulated moving bed (SMB). During the SMB process, fluids periodically flows in and out, imperfect mixing of the fluids decreases the adsorption efficiency. In this study, the mixing effect of a conventional flow distribution apparatus was analyzed. In the conventional design, a vortex is created that reduces the degree of mixing by disturbing the flow. A novel design that generates flows in various directions is proposed to prevent vortex formation. To compare the two designs, the degree of mixing was calculated using the feed concentration at the top of the adsorbent layer. Computational fluid dynamics simulations were conducted to obtain the concentration data and were supported by experiments using residence time distribution analysis. The degree of mixing was improved regardless of which criterion was applied.

[1]  Chang-Ha Lee,et al.  Partial-discard strategy for obtaining high purity products using simulated moving bed chromatography. , 2006, Journal of chromatography. A.

[2]  Andreas Seidel-Morgenstern,et al.  Advanced Operating Strategies to Extend the Applications of Simulated Moving Bed Chromatography , 2017 .

[3]  P. Christofides,et al.  Optimal operation of batch enantiomer crystallization: From ternary diagrams to predictive control , 2018 .

[4]  A. Rodrigues,et al.  Separation of guaifenesin enantiomers by simulated moving bed process with four operation modes , 2019, Adsorption.

[5]  Guoqiang Chen,et al.  A flow distribution and collection feature for ensuring scalable uniform flow in a chromatography device. , 2020, Journal of chromatography. A.

[6]  A. Rodrigues,et al.  Influence of the Transfer Line Dead Volume on the Performance of an Industrial Scale Simulated Moving Bed for p-Xylene Separation , 2003 .

[7]  B. Launder,et al.  Lectures in mathematical models of turbulence , 1972 .

[8]  I. Moon,et al.  Strategies for evaluating distributive mixing of multimodal Lagrangian particles with novel bimodal bin count variance , 2018 .

[9]  P. V. Danckwerts.  Continuous flow systems , 1953 .

[10]  L. Fangueiro Gomes,et al.  Modelling of a Simulated Moving Bed in case of non-ideal hydrodynamics , 2016 .

[11]  A. Arpanaei,et al.  Critical evaluation and comparison of fluid distribution systems for industrial scale expanded bed adsorption chromatography columns. , 2008, Journal of chromatography. A.

[12]  Youngsub Lim,et al.  Bed-line flushing and optimization in simulated moving-bed recovery of para-xylene , 2012 .

[13]  Sharad Bhartiya,et al.  Optimal strategies for transitions in simulated moving bed chromatography , 2016, Comput. Chem. Eng..

[14]  M. Kearney.  CONTROL OF FLUID DYNAMICS WITH ENGINEERED FRACTALS - ADSORPTION PROCESS APPLICATIONS , 1999 .

[15]  Y. Chang,et al.  Optimization of productivity in a four-zone simulated moving bed process for separation of succinic acid and lactic acid , 2011 .

[16]  Kyung-Min Kim,et al.  Improved Performance of a Simulated Moving Bed Process by a Recycling Method in the Partial-Discard Strategy , 2012 .

[17]  A. K. Ray,et al.  Multi-objective optimization of non-isothermal simulated moving bed reactor: Methyl acetate synthesis , 2020 .

[18]  A. Shariati,et al.  Mathematical modeling and optimization of industrial scale ELUXYL simulated moving bed (SMB) , 2020, Separation and Purification Technology.

[19]  S. Ergun.  Fluid flow through packed columns , 1952 .

[20]  Sten Bay Jørgensen,et al.  A fast and accurate numerical method for solving simulated moving bed (SMB) chromatographic separation problems , 2004 .

[21]  David W. Guest,et al.  Evaluation of simulated moving bed chromatography for pharmaceutical process development , 1997 .

[22]  M. Amanullah,et al.  Separation of Tröger’s Base Enantiomers Through a Combination of Simulated Moving Bed Chromatography and Crystallization , 2005 .

[23]  C. Ching,et al.  Study of feed temperature control of chromatography using computional fluid dynamics simulation. , 2002, Journal of chromatography. A.

[24]  A. Rodrigues,et al.  Operation of an Industrial SMB Unit for p-xylene Separation Accounting for Adsorbent Ageing Problems , 2008 .

[25]  Eric von Lieres,et al.  Efficient numerical simulation of simulated moving bed chromatography with a single-column solver , 2018, Comput. Chem. Eng..

[26]  José P. B. Mota,et al.  Use of Single-Column Models for Efficient Computation of the Periodic State of a Simulated Moving-Bed Process , 2006 .

[27]  Kyung-Min Kim,et al.  Total-recycling partial-discard strategy for improved performance of simulated moving-bed chromatography , 2019, Journal of Industrial and Engineering Chemistry.

[28]  Chonghun Han,et al.  Improvement of para-Xylene SMB Process Performance on an Industrial Scale , 2010 .

[29]  I. Moon,et al.  Design of a Novel Process for Continuous Lactide Synthesis from Lactic Acid , 2018, Industrial & Engineering Chemistry Research.

[30]  Tae Hoon Oh,et al.  Transition Model for Simulated Moving Bed Under Nonideal Conditions , 2019, Industrial & Engineering Chemistry Research.

[31]  Soon Huat Tan,et al.  Cytocompatibility and Mechanical Properties of Hydroxyapatite Composite Reinforced with Multi-Walled Carbon Nanotubes and Bovine Serum Albumin , 2013 .

[32]  D. Leinekugel‐le‐Cocq,et al.  Hydrodynamic modelling of complex fixed bed geometries in simulated moving bed adsorption processes , 2015 .

[33]  Chiral separation of β-blocker drug (nadolol) by five-zone simulated moving bed chromatography , 2005 .

[34]  Optimization of a Simulated Moving Bed Unit within an Existing and Revamped Aromatics Complex with Crystallization and Toluene Methylation Units , 2020, Industrial & Engineering Chemistry Research.

[35]  Yinghua Lu,et al.  Construction of an asynchronous three-zone simulated-moving-bed chromatography and its application for the separation of vanillin and syringaldehyde , 2018 .

[36]  I. Moon,et al.  Novel index for evaluating continuous mixing process with pulse injection of bimodal tracer particles , 2019, Powder Technology.

[37]  Kyung-Min Kim,et al.  Simulated moving bed with a product column for improving the separation performance , 2020 .

[38]  Alírio E. Rodrigues,et al.  Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate , 2020, Comput. Chem. Eng..

[39]  G. Patience,et al.  Experimental methods in chemical engineering: Residence time distribution—RTD , 2020 .

[40]  X. Verykios,et al.  Effects of degree of mixing on quantitative interpretation of TPD spectra , 1989 .

[41]  Alírio E. Rodrigues,et al.  Simulated moving bed technology: old and new , 2006 .

[42]  Y. Lim,et al.  Effect of dead volume on performance of simulated moving bed process , 2011 .

[43]  A. Afacan,et al.  Experimental studies of liquid flow maldistribution in a random packed column , 2000 .