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Autor(en): 
  • Diwekar Urmila
  • Batch Distillation: Simulation, Optimal Design, and Control, Second Edition 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  März 2017  
    Genre:  Naturwissensch., Medizin, Technik 
     
    batch column simulation techniques / Chemical Engineering / chemical process modeling / column dynamics analysis / graduate chemical engineering / Industrial chemistry and chemical engineering / Process Systems Engineering / SCIENCE / Chemistry / Industrial & Technical
    ISBN:  9781138073173 
    EAN-Code: 
    9781138073173 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  453 gr 
    Seiten:  400 
    Illustration:  schwarz-weiss Illustrationen, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Most available books in chemical engineering mainly pertain to continuous processes, with batch distillation relegated to a small section. Filling this void in the chemical engineering literature, Batch Distillation: Simulation, Optimal Design, and Control, Second Edition helps readers gain a solid, hands-on background in batch processing. The second edition of this bestseller explores numerous new developments in batch distillation that have emerged since the publication of the first edition. New to the Second Edition Special sections on complex column configurations and azeotropic, extractive, and reactive distillation A chapter on various kinds of uncertainties in batch distillation A chapter covering software packages for batch distillation simulation, design, optimization, and control Separate chapters on complex columns and complex systems Up-to-date references and coverage of recent research articles This edition continues to explain how to effectively design, synthesize, and make operations decisions related to batch processes. Through careful treatments of uncertainty analysis, optimization, and optimal control methods, the author gives readers the necessary tools for making the best decisions in practice. While primarily designed for a graduate course in batch distillation, the text can also be used in undergraduate chemical engineering courses. In addition, researchers and academics faced with batch distillation research problems and practicing chemical engineers tackling problems in actual day-to-day operations will find the book to be a useful reference source.

      
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