Modeling, Simulation, and Optimization of Supercritical and Subcritical Fluid Extraction Processes

By Z.A. Manan, Gholamreza Zahedi, Zainuddin A Manan

This book provides a complete guide on tools and techniques for modeling of supercritical and subcritical fluid extraction (SSFE) processes and phenomena. It provides details for SSFE from managing the experiments to modeling and optimization. It includes the fundamentals of SSFE as well as the necessary experimental techniques to validate the models. The optimization section includes the use of process simulators, conventional optimization techniques and state-of-the-art genetic algorithm methods. Numerous practical examples and case studies on the application of the modeling and optimization techniques on the SSFE processes are also provided. Detailed thermodynamic modeling with and without co-solvent and non equilibrium system modeling is another feature of the book.

The book consists of seven chapters. Chapter 1 presents an overview of the field of supercritical and subcritical fluid extraction (SSFE) and their importance to food, cosmetic and pharmaceutical industries. Chapter 2 describes the concepts and methodologies for modeling, simulation as well as optimization. It presents conservation laws related to SFE traditional first principle modeling and optimization techniques, statistical modeling as well as advanced artificial intelligence (AI) techniques like genetic algorithm, fuzzy logic and artificial neural network (ANN). The characteristics and physical properties of palm oil as the most referred solute in the book, and descriptions of some existing palm oil industrial processes are presented in Chapter 3. In Chapter 4, the first principle methodology is applied for modeling of properties of palm oil components, mixtures and for the supercritical fluid extraction of palm oil components. Modeling applications involving advanced techniques such as AI, ANN and fuzzy logics and ANFIS are discussed in Chapter 5. Next, Chapter 6 describes experimental design concepts and procedures as well as statistical optimization techniques involving SSFE processes. Finally, optimisation of SSFE using first principle modeling and other advanced techniques are presented in Chapter 7.

• Format: Hardcover
• Language: English
• ISBN: 1118460170
• ISBN13: 9781118460177
• Release Date: November 2021
• Publisher: Wiley-Aiche
• Length: 288 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.9" x 6.2" x 9.1"