Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing, 2 Volume Set

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Bibliographic Details
Main Author Liu, Y. A.
Other Authors Sharma, Niket
Format Electronic eBook
LanguageEnglish
Published Newark : John Wiley & Sons, Incorporated, 2023.
Subjects
elektronické knihy
electronic books
Online AccessFull text
ISBN9783527843817
3527843817
Physical Description1 online resource (865 p.)

Cover

Table of Contents:
  • Cover
  • Volume 1
  • Title Page
  • Copyright
  • Contents
  • Foreword
  • Preface
  • Acknowledgment
  • Copyright Notice
  • About the Authors
  • About the Companion Website
  • Chapter 1 Introduction to Integrated Process Modeling, Advanced Control, and Data Analytics in Optimizing Polyolefin Manufacturing
  • 1.1 Segment-Based Modeling of Polymerization Processes: Component Characterization and Polymer Attributes
  • 1.1.1 Component Types in Polymer Process Modeling
  • 1.1.2 Concept of Moments and Some Basic Polymer Attributes
  • 1.1.3 Stream Initialization and Basic Polymer Attributes
  • 1.2 Workshop 1.1: Finding the Resulting Stream Attributes After Mixing Two Copolymer Streams
  • 1.2.1 Objective
  • 1.2.2 Problem Statement
  • 1.2.3 Process Flowsheet
  • 1.2.4 Unit System, Components, and Characterization of Copolymers
  • 1.2.5 Property Method and Property Parameters for Components
  • 1.2.6 Specifications of Streams and Blocks
  • 1.3 Workshop 1.2: A Simplified Simulation Model for a Slurry HDPE Process and the Workflow for Developing a Polymer Process Simulation Model
  • 1.3.1 Objective
  • 1.3.2 Step 1: Problem Setup
  • 1.3.3 Step 2: Component Specifications
  • 1.3.4 Step 3: Property Method
  • 1.3.5 Step 4: Property Parameters - Obtaining Values from Databanks and Estimating Missing Parameters
  • 1.3.6 Step 5: Verification of the Accuracy of the Selected Property Method by Comparing Predicted Pure-Component Property Values with Report Experimental Data
  • 1.3.7 Step 6: Regress Component Liquid Density Data and Binary Vapor-Liquid Equilibrium (TPXY) Data to Estimate Missing Pure-component and Binary Interaction Parameters of Selected Property Method and Verify Predicted VLE Results with Experimental Data
  • 1.3.8 Step 7: Develop Correlations for Polymer Product Quality Indices, Such as Density and Melt Index (Melt Flow Rate) Based on Plant Data
  • 1.3.9 Step 8: Define the Polymerization Reactions and Enter the Initial Reaction Rate Constants
  • 1.3.10 Step 9: Draw the Open-Loop Process Flowsheet and Enter the Inputs for Streams and Blocks
  • 1.3.11 Step 10: Run the Initial Open-loop Process Simulation and Check if the Simulation Results Are Reasonable
  • 1.3.12 Step 11: Close the Recycled Loops, Finalize a Converged Closed-loop Steady-state Simulation Model, and Investigate Applications to Improving Process Operations and Identifying Operating Conditions for New Product Design
  • 1.3.13 Step 12: Convert the Steady-state Simulation Model in Aspen Plus to a Dynamic Simulation Model in Aspen Plus Dynamics
  • Add Appropriate Controllers
  • and Investigate Process Operability, Control, and Grade Changes

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