Description

Book Synopsis

Understanding mathematical modeling is fundamental in chemical engineering. This book reviews, introduces, and develops the mathematical models that are most frequently encountered in sophisticated chemical engineering domains. The volume provides a collection of models illustrating the power and richness of the mathematical sciences in supplying insight into the operation of important real-world systems. It fills a gap within modeling texts, focusing on applications across a broad range of disciplines.

The first part of the book discusses the general components of the modeling process and highlights the potential of modeling in the production of nanofibers. These chapters discuss the general components of the modeling process and the evolutionary nature of successful model building in the electrospinning process. Electrospinning is the most versatile technique for the preparation of continuous nanofibers obtained from numerous materials. This section of book summarizes the state-of-the art in electrospinning as well as updates on theoretical aspects and applications.

Part 2 of the book presents a selection of special topics on issues in applied chemistry and chemical engineering, including nanocomposite coating processes by electrocodeposition method, entropic factors conformational interactions, and the application of artificial neural network and meta-heuristic algorithms.

This volume covers a wide range of topics in mathematical modeling, computational science, and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines.



Table of Contents

An Overview on Electrospun Nanofibers: Influences of Various Parameters and Applications. Updates on Electrospinning Process Models (Part I). Updates on Electrospinning Process Models (Part II). Conductive Viscous Jet and Electrohydrodynamics: Update on Models. Macroscopic Models for Electrospinning. Update on One-Dimensional Models of Steady, Inviscid, Annular Liquid Jets. The Electrically Forced Jet and Instabilities. Update on Deformation of Newtonian and Non-Newtonian Conducting Drops in the Electric Field. Update on Behaviour of Electrospun Fluid Jet Simulation Using Microscopic Model. Update on Controlling Instability of Electrospun Nanofibers (Part I). Update on Controlling Instability of Electrospun Nanofibers (Part II). Update on Thermo-Electro-Hydrodynamic Model for Electrospinning Process. Update on Numerical Analysis and Numerical Methods for Solving Equations. The Multilevel Modeling of the Nanocomposite Coating Processes by Electrocodeposition Method. Local Anaesthetics Classification: Artificial Intelligence Information Entropy. Entropic Factors Conformational Interactions. Application of Artificial Neural Network and Meta-Heuristic Algorithm in Applied Chemistry and Chemical Engineering.

Applied Chemistry and Chemical Engineering,

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    A Hardback by A. K. Haghi, Lionello Pogliani, Francisco Torrens

    5 in stock

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      View other formats and editions of Applied Chemistry and Chemical Engineering, by A. K. Haghi

      Publisher: Apple Academic Press Inc.
      Publication Date: 13/04/2018
      ISBN13: 9781771885669, 978-1771885669
      ISBN10: 1771885661

      Description

      Book Synopsis

      Understanding mathematical modeling is fundamental in chemical engineering. This book reviews, introduces, and develops the mathematical models that are most frequently encountered in sophisticated chemical engineering domains. The volume provides a collection of models illustrating the power and richness of the mathematical sciences in supplying insight into the operation of important real-world systems. It fills a gap within modeling texts, focusing on applications across a broad range of disciplines.

      The first part of the book discusses the general components of the modeling process and highlights the potential of modeling in the production of nanofibers. These chapters discuss the general components of the modeling process and the evolutionary nature of successful model building in the electrospinning process. Electrospinning is the most versatile technique for the preparation of continuous nanofibers obtained from numerous materials. This section of book summarizes the state-of-the art in electrospinning as well as updates on theoretical aspects and applications.

      Part 2 of the book presents a selection of special topics on issues in applied chemistry and chemical engineering, including nanocomposite coating processes by electrocodeposition method, entropic factors conformational interactions, and the application of artificial neural network and meta-heuristic algorithms.

      This volume covers a wide range of topics in mathematical modeling, computational science, and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines.



      Table of Contents

      An Overview on Electrospun Nanofibers: Influences of Various Parameters and Applications. Updates on Electrospinning Process Models (Part I). Updates on Electrospinning Process Models (Part II). Conductive Viscous Jet and Electrohydrodynamics: Update on Models. Macroscopic Models for Electrospinning. Update on One-Dimensional Models of Steady, Inviscid, Annular Liquid Jets. The Electrically Forced Jet and Instabilities. Update on Deformation of Newtonian and Non-Newtonian Conducting Drops in the Electric Field. Update on Behaviour of Electrospun Fluid Jet Simulation Using Microscopic Model. Update on Controlling Instability of Electrospun Nanofibers (Part I). Update on Controlling Instability of Electrospun Nanofibers (Part II). Update on Thermo-Electro-Hydrodynamic Model for Electrospinning Process. Update on Numerical Analysis and Numerical Methods for Solving Equations. The Multilevel Modeling of the Nanocomposite Coating Processes by Electrocodeposition Method. Local Anaesthetics Classification: Artificial Intelligence Information Entropy. Entropic Factors Conformational Interactions. Application of Artificial Neural Network and Meta-Heuristic Algorithm in Applied Chemistry and Chemical Engineering.

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