Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process

Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process provides insights into developing mathematical models, designing optimization strategies, and applying control methods for efficient production in complex industrial processes.

Format: Paperback / softback
Length: 244 pages
Publication date: 28 January 2021
Publisher: Elsevier Science Publishing Co Inc

Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process offers a comprehensive guide on developing mathematical models for intricate industrial processes, crafting effective optimization strategies, and implementing control methods to attain desired production targets. This invaluable resource shares the authors' cutting-edge ideas, methodologies, and algorithms in the realm of intelligent manufacturing, particularly focusing on the digitalization and visualization of complex processes and the development of controllers when process models are unavailable.

The book begins by introducing the fundamentals of modeling, optimization, and control, providing a solid foundation for understanding the complexities of industrial processes. It then delves into the specific application of these principles in the zinc hydrometallurgical purification process, offering detailed insights into the process dynamics, constraints, and optimization objectives.

One of the key strengths of this book is its comprehensive coverage of mathematical modeling techniques. The authors discuss various modeling approaches, including process simulation, data-driven modeling, and artificial intelligence-based modeling, and illustrate their applications in the zinc hydrometallurgical purification process. They emphasize the importance of selecting the most appropriate modeling technique based on the specific characteristics and requirements of the process.

The authors also provide detailed guidance on designing optimization strategies for the zinc hydrometallurgical purification process. They discuss various optimization techniques, such as linear programming, nonlinear programming, genetic algorithms, and artificial intelligence-based optimization, and illustrate their applications in improving process performance, reducing costs, and enhancing sustainability.

Furthermore, the book emphasizes the importance of applying control methods to achieve desired production targets. The authors discuss various control strategies, such as PID control, fuzzy control, and artificial intelligence-based control, and illustrate their applications in maintaining process stability, optimizing process variables, and responding to disturbances.

Throughout the book, the authors share their recent ideas, methodologies, and algorithms in the intelligent manufacturing of complex industry processes. They discuss the development of descriptive frameworks that enable the digitalization and visualization of processes, as well as the development of controllers when process models are not available.

The book is well-organized, with each chapter providing a clear and concise overview of the topics covered. It includes numerous examples, case studies, and exercises to reinforce the concepts discussed and help readers apply the knowledge gained to real-world scenarios.

In conclusion, Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process is a valuable resource for professionals, researchers, and students interested in developing mathematical models for complex industrial processes, designing optimization strategies, and implementing control methods. With its comprehensive coverage of topics, practical examples, and innovative methodologies, this book provides a solid foundation for advancing the field of intelligent manufacturing and achieving sustainable production targets.

Weight: 396g
Dimension: 184 x 268 x 15 (mm)
ISBN-13: 9780128195925