Produktbild: Industrial Crystallization Process Monitoring and Control

Industrial Crystallization Process Monitoring and Control

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.03.2012

Abbildungen

schwarz-weiss Illustrationen, Tabellen, schwarz-weiss

Herausgeber

Angelo Chianese + weitere

Verlag

Wiley-VCH

Seitenzahl

252

Maße (L/B/H)

24.6/17.5/2 cm

Gewicht

630 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-3-527-33173-4

Beschreibung

Portrait

Angelo Chianese is full Professor of Chemical Plant Design at the University of Rome La Sapienza. He worked as a process engineer for the first 10 years of his working life, before joining academia. Prof. Chianese has more than 30 years in the field of industrial crystallization.

In this respect, he collaborated with the major academic laboratories all over the world and major industrial companies. Between 1998 and 2001 he was the coordinator of the European Thematic Network on Industrial Crystallization (acronym. CRYSOPT) and since 1990 was partner in many European projects. He is one of the two Italian delegates at the European Working Party on Crystallization.

 

Herman J. M. Kramer is associate professor at the Delft University of Technology, The Netherlands, working on the design, monitoring and control of crystallization and precipitation processes. He headed a large number of international multi client, multidisciplinary, research projects on design, monitoring and control of industrial crystallization. He was president of the Dutch Association of Crystal growth and is nowadays member of the European Working Party of Industrial Crystallization.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.03.2012

Abbildungen

schwarz-weiss Illustrationen, Tabellen, schwarz-weiss

Herausgeber

Verlag

Wiley-VCH

Seitenzahl

252

Maße (L/B/H)

24.6/17.5/2 cm

Gewicht

630 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-3-527-33173-4

Herstelleradresse

Wiley-VCH GmbH
product_safety@wiley.com
Wiley-VCH GmbH, Boschstrasse 12, DE-69469 Weinheim

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  • Produktbild: Industrial Crystallization Process Monitoring and Control
  • PREFACE

     

    CHARACTERIZATION OF CRYSTAL SIZE DISTRIBUTION

    Introduction

    Particle Size Distribution

    Particle Size Distribution Moments

    Particle Size Distribution Characterization on the Basis of Mass Distribution

     

    FORWARD LIGHT SCATTERING

    Introduction

    Principles of Laser Diffraction

    Scatter Theory

    Deconvolution

    The Effects of Shape

    Multiple Scattering

    Application of Laser Diffraction for Monitoring and Control of Industrial Crystallization Processes

    Conclusions

     

    FOCUSED BEAM REFLECTANCE MEASUREMENT

    Measurement Principle

    Application Examples

    Advantages and Limitations

     

    TURBIDIMETRY FOR THE ESTIMATION OF CRYSTAL AVERAGE SIZE

    Introduction

    Determination of Average Particle Size from Specific Turbidity

    Procedure to Evaluate Average Crystal Size by Turbidimetry for a High Solid Slurry Concentration

    Conclusion

     

    IMAGING

    Introduction

    Literature Overview

    The Sensor Design

    Application of In Situ Imaging for Monitoring Crystallization Processes

    Conclusions

     

    TURBIDIMETRY AND NEPHELOMETRY

    Introduction

    Measurement of Nucleation and Solubility Points

    The Developed Turbidimetric and Nephelometric Instruments

    The Examined Systems

    Obtained Results

     

    SPEED OF SOUND

    Introduction

    In-Process Ultrasound Measurement

    Determining Solubility and Metastable Zone Width

    Measuring Crystal Growth Rates

    Detecting Phase Transitions with Ultrasound

     

    IN-LINE PROCESS REFRACTOMETER FOR CONCENTRATION MEASUREMENT IN SUGAR CRYSTALLIZERS

    Introduction

    Measurement Principle

    In-Line Instrument Features and Benefits

    Features and Benefits

    Example of Application in the Crystallization

    Conclusion

     

    ATR-FTIR SPECTROSCOPY

    Introduction

    Calibration

    Speciation Monitoring

    Co-Crystal Formation

    Solubility Measurement

    Crystal Growth Rates

    Polymorph Transformation

    Crystallization Monitoring and Control

    Impurity Monitoring

    Conclusions

     

    RAMAN SPECTROSCOPY

    Introduction

    Factors Influencing the Raman Spectrum

    Calibration

    Applications

    Conclusions

     

    BASIC RECIPE CONTROL

    Introduction

    Incentives for Basic Recipe Control

    Main Mechanisms, Sensors, and Actuators

    Basic Recipe Control Strategy

    Seeding as a Process Actuator

    Rate of Supersaturation Generation

    Mixing and Suspension of Solids

    Fines Removal and Dissolution

    Implementation of Basic Recipe Control

    Conclusions

     

    SEEDING TECHNIQUE IN BATCH CRYSTALLIZATION

    Introduction

    Seeding Operation: Main Principles and Phenomena

    Use of Seeding for Batch Crystallization: Main Process Parameters

    Control of Batch Crystallization by Seeding: Empirical Rules for Design

     

    ADVANCED RECIPE CONTROL

    Introduction

    Incentives and Strategy of the Advanced Recipe Control

    Modeling for Optimization, Prediction, and Control

    Model Validation

    Rate of Supersaturation Generation

    Mixing Conditions

    Implementation

    Example of Modeling, Optimization, and Open-Loop Control of a 75-l Draft-Tube Crystallizer

    Conclusions

     

    ADVANCED MODEL-BASED RECIPE CONTROL

    Introduction

    Online Dynamic Optimization

    MPC for Batch Crystallization

    Conclusions and Perspectives

     

    FINES REMOVAL

    Introduction

    Fines Removal by Heat Dissolution

    Modeling of an MSMPR Continuous Crystallizer with Fines Removal

    Fines Destruction in the Industrial Practice

    CSD Control by Fines Removal for Pilot Scale Crystallizers

    The Cycling Phenomenon as Undesired Effect of Fines Destruction in Industrial Crystallizers

     

    MODEL PREDICTIVE CONTROL

    Introduction

    Approach for Designing and Implementing an MPC Control System

    Process Modeling

    The Performance Index

    Constraints

    The MPC Optimization

    Tuning

    State Estimation

    Implementation

    MPC of Crystallization Processes

    Delta-Mode MPC

    Conclusions and Perspectives

     

    INDUSTRIAL CRYSTALLIZERS DESIGN AND CONTROL

    Introduction

    Forced Circulation Crystallizer

    Draft-Tube-Baffle Crystallizer

    Process Variables in Crystallizer Operation

    Sensors

    Control Devices