Particle & Particle Systems Characterization

Cover image for Particle & Particle Systems Characterization

Special Issue: Control of Particulate Processes

November, 2008

Volume 25, Issue 4

Pages 287–387

  1. Contents

    1. Top of page
    2. Contents
    3. Editorial
    4. Research Articles
    5. Instructions for Authors
    6. Calendar
    1. Contents: Part. Part. Syst. Charact. 4/2008 (pages 287–289)

      Article first published online: 28 NOV 2008 | DOI: 10.1002/ppsc.200890009

  2. Editorial

    1. Top of page
    2. Contents
    3. Editorial
    4. Research Articles
    5. Instructions for Authors
    6. Calendar
    1. Editorial to the Special Issue “Control of Particulate Processes” (Part. Part. Syst. Charact. 4/2008) (page 291)

      Xue Z. Wang and Panagiotis D. Christofides

      Article first published online: 28 NOV 2008 | DOI: 10.1002/ppsc.200890010

  3. Research Articles

    1. Top of page
    2. Contents
    3. Editorial
    4. Research Articles
    5. Instructions for Authors
    6. Calendar
    1. Three-Dimensional Measurement of Particle Shape (pages 293–297)

      Beate Bujak and Michael Bottlinger

      Article first published online: 31 OCT 2008 | DOI: 10.1002/ppsc.200800027

      A system for simultaneous three-dimensional measurement of particle shape has been developed. Free-falling particles are captured from three orthogonal directions and reconstructed accordingly. The 3D information can be used for particle characterization as well as for simulations of particle behavior.

    2. The Effect of Illumination Wavelength on the Measurement of Size Distribution of Very Small Particles Using a Novel Imaging Based System (pages 298–305)

      Robert M. Carter and Yong Yan

      Article first published online: 22 OCT 2008 | DOI: 10.1002/ppsc.200800031

      The importance of illumination wavelength on measurement accuracy for digital imaging based particle size analysis is investigated experimentally. It is shown that whilst blue illumination does give an increase in accuracy the effect is not marked enough to preclude the use of cost-effective red illumination at these scales.

    3. Control of a Pilot-Scale, Solid-Liquid Separation Plant Using Electrical Impedance Tomography Measurements (pages 306–313)

      J. A. Gutierrez-Gnecchi and E. Marroquín-Pineda

      Article first published online: 13 NOV 2008 | DOI: 10.1002/ppsc.200800034

      This paper describes the design and construction of a pilot-scale, solid-liquid separation plant including Electrical Impedance Tomography (EIT) measurements. The resulting equipment can then be used for testing different implementations of data acquisition systems, EIT image reconstruction procedures and control strategies.

    4. Monitoring Batch Cooling Crystallization Using NIR: Development of Calibration Models Using Genetic Algorithm and PLS (pages 314–327)

      Rui F. Li, Xue Z. Wang and Solomon B. Abebe

      Article first published online: 13 NOV 2008 | DOI: 10.1002/ppsc.200800029

      This study investigates the use of NIR for monitoring industrial batch cooling crystallization processes, applying a genetic algorithm in the calibration model development. The models thus give improved prediction performance in terms of generalization capability and are successfully applied to crystallization of L-glutamic acid.

    5. Dynamic Model Analysis of Batch Fluidized Bed Dryers (pages 328–344)

      Mingzhong Li and Stephen Duncan

      Article first published online: 31 OCT 2008 | DOI: 10.1002/ppsc.200800033

      In this work, a lumped mechanistic model has been developed to describe the heat and mass transfer between solid, gas and bubble phases in a batch fluidized bed dryer. Experimental validation shows that the model predicts the particle moisture content and temperature profiles during the drying process quite well.

    6. Model-Based Nonlinear Control of Batch Fluidized Bed Dryers (pages 345–359)

      Mingzhong Li and Stephen Duncan

      Article first published online: 31 OCT 2008 | DOI: 10.1002/ppsc.200800028

      In this paper, the optimization and feedback control of material moisture content in a batch fluidized bed dryer are studied. The optimal operating conditions have been found and a generic model control strategy has been implemented to achieve a desired drying rate for wet materials. Studies show that satisfactory estimation and control of the particle moisture is achieved.

    7. Lyapunov-based Model Predictive Control of Particulate Processes Subject to Asynchronous Measurements (pages 360–375)

      Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides and James F. Davis

      Article first published online: 28 NOV 2008 | DOI: 10.1002/ppsc.200800030

      This work focuses on state feedback, model predictive control of particulate processes subject to asynchronous measurements. A population balance model of a typical continuous crystallizer is taken as an application example. The stability and robustness properties of the closed-loop system under three predictive controllers are compared extensively.

    8. Gas Classification of Particles Using a Packed Bed (pages 376–382)

      Wei Yang and Yulong Ding

      Article first published online: 22 OCT 2008 | DOI: 10.1002/ppsc.200800032

      Classification of particles using a packed bed is tested for two materials, i.e., glass ballotini and microcrystalline cellulose (MCC). Measurements of the breakthrough curves show that the particle elution order is particle size and shape dependent with small and irregular particles elutriating slower compared to large and spherical particles.

  4. Instructions for Authors

    1. Top of page
    2. Contents
    3. Editorial
    4. Research Articles
    5. Instructions for Authors
    6. Calendar
  5. Calendar

    1. Top of page
    2. Contents
    3. Editorial
    4. Research Articles
    5. Instructions for Authors
    6. Calendar

SEARCH

SEARCH BY CITATION