The Experts below are selected from a list of 270 Experts worldwide ranked by ideXlab platform

Nien-hwa Linda Wang - One of the best experts on this subject based on the ideXlab platform.

  • Standing Wave Annealing Technique: For the Design and Optimization of Nonlinear Simulated Moving Bed Systems with Significant Mass-Transfer Effects
    Industrial & Engineering Chemistry Research, 2006
    Co-Authors: Fattaneh G. Cauley, Stephen F. Cauley, Ki Bong Lee, Yi Xie, Nien-hwa Linda Wang
    Abstract:

    This paper introduces a flexible and computationally efficient technique for the optimization of nonlinear simulated moving bed (SMB) systems with significant mass-transfer effects. The efficiency results from a combination of standing wave design equations (SWD), with a stochastic optimization algorithm, simulated annealing. Standing wave annealing technique (SWAT) extends the applicability of the SWD to the simultaneous optimization of a large number of variables that include material parameters. Several interrelated issues regarding the design of an SMB system are addressed through an example, the resolution of racemic mixtures of FTC-esters. Models containing 16, 18, and 19 decision variables are considered in terms of two alternative objectives:  Maximum productivity or minimum purification cost. SWAT's computational efficiency (each optimization takes minutes rather than hours or days) helps identify the important role that Maximum Operating Pressure plays in determining the economical design of an ...

  • Optimal Standing-Wave Design of Nonlinear Simulated Moving Bed Systems for Enantioseparation
    Industrial & Engineering Chemistry Research, 2006
    Co-Authors: Ki Bong Lee, Fattaneh G. Cauley, Sungyong Mun, Geoffrey B. Cox, Nien-hwa Linda Wang
    Abstract:

    An efficient optimization tool is developed based on the standing-wave design for simulated moving bed (SMB) systems with nonlinear isotherms and significant mass-transfer effects. A Maximum Operating Pressure is considered in the optimization. Both system parameters (particle size, column length, column diameter, total number of columns, column configuration, and feed concentration) and Operating parameters (zone flow rates and switching time) are optimized to achieve the Maximum productivity or the minimum separation cost. Under a Pressure limit, medium particle size (10−40 μm), short columns (5−15 cm), and a longer zone II give higher productivity and lower separation cost. Nonlinear effects resulting from high feed concentration can decrease productivity and increase separation cost. High-Pressure SMB systems (5.2 MPa) can have higher productivity, but low- and medium-Pressure SMB systems (1.0 and 2.4 MPa, respectively) are more economical.

Fattaneh G. Cauley - One of the best experts on this subject based on the ideXlab platform.

  • Standing Wave Annealing Technique: For the Design and Optimization of Nonlinear Simulated Moving Bed Systems with Significant Mass-Transfer Effects
    Industrial & Engineering Chemistry Research, 2006
    Co-Authors: Fattaneh G. Cauley, Stephen F. Cauley, Ki Bong Lee, Yi Xie, Nien-hwa Linda Wang
    Abstract:

    This paper introduces a flexible and computationally efficient technique for the optimization of nonlinear simulated moving bed (SMB) systems with significant mass-transfer effects. The efficiency results from a combination of standing wave design equations (SWD), with a stochastic optimization algorithm, simulated annealing. Standing wave annealing technique (SWAT) extends the applicability of the SWD to the simultaneous optimization of a large number of variables that include material parameters. Several interrelated issues regarding the design of an SMB system are addressed through an example, the resolution of racemic mixtures of FTC-esters. Models containing 16, 18, and 19 decision variables are considered in terms of two alternative objectives:  Maximum productivity or minimum purification cost. SWAT's computational efficiency (each optimization takes minutes rather than hours or days) helps identify the important role that Maximum Operating Pressure plays in determining the economical design of an ...

  • Optimal Standing-Wave Design of Nonlinear Simulated Moving Bed Systems for Enantioseparation
    Industrial & Engineering Chemistry Research, 2006
    Co-Authors: Ki Bong Lee, Fattaneh G. Cauley, Sungyong Mun, Geoffrey B. Cox, Nien-hwa Linda Wang
    Abstract:

    An efficient optimization tool is developed based on the standing-wave design for simulated moving bed (SMB) systems with nonlinear isotherms and significant mass-transfer effects. A Maximum Operating Pressure is considered in the optimization. Both system parameters (particle size, column length, column diameter, total number of columns, column configuration, and feed concentration) and Operating parameters (zone flow rates and switching time) are optimized to achieve the Maximum productivity or the minimum separation cost. Under a Pressure limit, medium particle size (10−40 μm), short columns (5−15 cm), and a longer zone II give higher productivity and lower separation cost. Nonlinear effects resulting from high feed concentration can decrease productivity and increase separation cost. High-Pressure SMB systems (5.2 MPa) can have higher productivity, but low- and medium-Pressure SMB systems (1.0 and 2.4 MPa, respectively) are more economical.

Ki Bong Lee - One of the best experts on this subject based on the ideXlab platform.

  • Standing Wave Annealing Technique: For the Design and Optimization of Nonlinear Simulated Moving Bed Systems with Significant Mass-Transfer Effects
    Industrial & Engineering Chemistry Research, 2006
    Co-Authors: Fattaneh G. Cauley, Stephen F. Cauley, Ki Bong Lee, Yi Xie, Nien-hwa Linda Wang
    Abstract:

    This paper introduces a flexible and computationally efficient technique for the optimization of nonlinear simulated moving bed (SMB) systems with significant mass-transfer effects. The efficiency results from a combination of standing wave design equations (SWD), with a stochastic optimization algorithm, simulated annealing. Standing wave annealing technique (SWAT) extends the applicability of the SWD to the simultaneous optimization of a large number of variables that include material parameters. Several interrelated issues regarding the design of an SMB system are addressed through an example, the resolution of racemic mixtures of FTC-esters. Models containing 16, 18, and 19 decision variables are considered in terms of two alternative objectives:  Maximum productivity or minimum purification cost. SWAT's computational efficiency (each optimization takes minutes rather than hours or days) helps identify the important role that Maximum Operating Pressure plays in determining the economical design of an ...

  • Optimal Standing-Wave Design of Nonlinear Simulated Moving Bed Systems for Enantioseparation
    Industrial & Engineering Chemistry Research, 2006
    Co-Authors: Ki Bong Lee, Fattaneh G. Cauley, Sungyong Mun, Geoffrey B. Cox, Nien-hwa Linda Wang
    Abstract:

    An efficient optimization tool is developed based on the standing-wave design for simulated moving bed (SMB) systems with nonlinear isotherms and significant mass-transfer effects. A Maximum Operating Pressure is considered in the optimization. Both system parameters (particle size, column length, column diameter, total number of columns, column configuration, and feed concentration) and Operating parameters (zone flow rates and switching time) are optimized to achieve the Maximum productivity or the minimum separation cost. Under a Pressure limit, medium particle size (10−40 μm), short columns (5−15 cm), and a longer zone II give higher productivity and lower separation cost. Nonlinear effects resulting from high feed concentration can decrease productivity and increase separation cost. High-Pressure SMB systems (5.2 MPa) can have higher productivity, but low- and medium-Pressure SMB systems (1.0 and 2.4 MPa, respectively) are more economical.

Alírio E. Rodrigues - One of the best experts on this subject based on the ideXlab platform.

  • Performance of simulated moving bed with conventional and monolith columns
    Separation and Purification Technology, 2008
    Co-Authors: Michal Zabka, Pedro Sá Gomes, Alírio E. Rodrigues
    Abstract:

    Abstract In this article the performances of different bed structures, i.e., conventional adsorbent beads (with different diameters) and monolithic columns, in the separation of chiral species by the simulated moving bed (SMB) technology are compared. In order to assess these different morphologies the equivalent particle size for monolithic structure was calculated based on equivalent permeabilities. The performance of the SMB units was compared for the conditions quantified by Maximum productivity. The configuration of the SMB unit and the total system volume were not varied. The Maximum Operating Pressure drop of 20 bar and the purity in both product streams over 99% were set as constraints in all computations. The true moving bed model was used as an analogy to simulated moving bed in order to reduce computation time. The productivity of the SMB unit using particle diameter of 27 μm can be slightly higher than of the SMB with particle diameter ≥50 μm but at the cost of higher eluent consumption. Moreover, there is no need to operate an SMB unit at its Maximum Pressure drop to get the best performance values, since in the presence of mass-transfer resistances, the contact time becomes the unit major limitation.

Michal Zabka - One of the best experts on this subject based on the ideXlab platform.

  • Performance of simulated moving bed with conventional and monolith columns
    Separation and Purification Technology, 2008
    Co-Authors: Michal Zabka, Pedro Sá Gomes, Alírio E. Rodrigues
    Abstract:

    Abstract In this article the performances of different bed structures, i.e., conventional adsorbent beads (with different diameters) and monolithic columns, in the separation of chiral species by the simulated moving bed (SMB) technology are compared. In order to assess these different morphologies the equivalent particle size for monolithic structure was calculated based on equivalent permeabilities. The performance of the SMB units was compared for the conditions quantified by Maximum productivity. The configuration of the SMB unit and the total system volume were not varied. The Maximum Operating Pressure drop of 20 bar and the purity in both product streams over 99% were set as constraints in all computations. The true moving bed model was used as an analogy to simulated moving bed in order to reduce computation time. The productivity of the SMB unit using particle diameter of 27 μm can be slightly higher than of the SMB with particle diameter ≥50 μm but at the cost of higher eluent consumption. Moreover, there is no need to operate an SMB unit at its Maximum Pressure drop to get the best performance values, since in the presence of mass-transfer resistances, the contact time becomes the unit major limitation.