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Process Modelling and Model Analysis

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Title: Process Modelling and Model Analysis
Description: Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation - Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling - Illustrates the notions, tools, and techniques of process modeling with examples and advances applications
Authors: Ian T. Cameron, Katalin Hangos
Resource Type: eBook.
Subjects: Chemical processes--Mathematical models, Chemical processes--Computer simulation
Categories: TECHNOLOGY & ENGINEERING / Chemical & Biochemical
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 207146
RelevancyScore: 972
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 972.249633789063
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  Data: Process Modelling and Model Analysis
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  Data: Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation - Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling - Illustrates the notions, tools, and techniques of process modeling with examples and advances applications
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  Data: <searchLink fieldCode="AR" term="%22Ian+T%2E+Cameron%22">Ian T. Cameron</searchLink><br /><searchLink fieldCode="AR" term="%22Katalin+Hangos%22">Katalin Hangos</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Chemical+processes--Mathematical+models%22">Chemical processes--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+processes--Computer+simulation%22">Chemical processes--Computer simulation</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 660.280015118
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Chemical processes--Mathematical models
        Type: general
      – SubjectFull: Chemical processes--Computer simulation
        Type: general
    Titles:
      – TitleFull: Process Modelling and Model Analysis
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ian T. Cameron
      – PersonEntity:
          Name:
            NameFull: Katalin Hangos
      – PersonEntity:
          Name:
            NameFull: Ian T. Cameron
      – PersonEntity:
          Name:
            NameFull: Katalin Hangos
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2001
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780121569310
            – Type: isbn-electronic
              Value: 9780080514925
          Numbering:
            – Type: volume
              Value: 00004
          Titles:
            – TitleFull: Process Modelling and Model Analysis
              Type: main
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