Advanced Control and Computational Techniques
E-Book, Englisch, 214 Seiten
ISBN: 978-1-4665-5933-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The book offers scope for academics, researchers, and engineering professionals. Chapters range from new methods to novel applications of existing methods and help provide an understanding of the material and/or structural behavior of new and advanced systems. It includes innovative chapters on the growth of educational, scientific, and industrial research activities among chemical engineers. It provides the latest coverage of chemical databases and the development of new computational methods and efficient algorithms for chemical software and chemical engineering.
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Weitere Infos & Material
A Thermodynamic Model for Vapor-Liquid Equilibrium Data for the Two Binary Systems
Practical Hints on Measurement of Densities and Excess Molar Volumes
A Mathematical Model to Control the Liquid-Liquid Equilibrium Data
Computer Calculations for Multicomponent Vapor-Liquid and Liquid-Liquid Equilibria
Densities And Refractive Indices of the Binary Systems
Potential Applications of Artificial Neural Networks to Thermodynamics
A Note on Application of Non-Random Two-Liquid (Nrtl) Model
Some Practical Hints on Application of Uniquac Solution Model
Control of Liquid Membrane Separation Process
Development of Artificial Neural Network (Ann) Model for Estimation of Vapor Liquid Equilibrium (Vle) Data
Some Aspects of a Fluid Phase Equilibria and Unifac Model
Molecular Thermodynamics Process Control In Fluid-Phase Equilibria
Estimation of Liquid-Liquid Equilibrium Using Artificial Neural Networks
Optimization of Process Control of Water + Propanoic Acid+ 1-octanol System
Practical Hints on Optimization of Uniquac Interaction Parameters
A Mathematical Approach to Control the Water Content of Sour Gas
Modeling And Control of Thermodynamic Properties by Artificial Neural Networks (ANNs)
A Study on Liquid-liquid Equilibria Using Hysys & Uniquac Models
Optimization and Control of Laboratory Production of Ethanol