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 is a comprehensive guide that delves into the intricate process of developing mathematical models for complex industrial processes. It provides valuable insights into designing optimization strategies and implementing control methods to achieve desired production targets. The book showcases the authors' latest ideas, methodologies, and algorithms in the field of intelligent manufacturing, particularly focusing on the digitalization and visualization of processes and the development of controllers when process models are unavailable.

The authors begin by introducing the fundamentals of modeling, optimization, and control, providing a solid foundation for the subsequent chapters. They discuss the importance of accurate modeling in capturing the complex dynamics of industrial processes and the challenges associated with it. The book then explores various optimization techniques, such as linear programming, nonlinear optimization, and genetic algorithms, and their applications in process design and improvement.

One of the key strengths of this book is its practical approach. The authors provide real-world examples and case studies from the zinc hydrometallurgical purification process, demonstrating how the proposed methodologies and algorithms can be applied to achieve optimal performance. They also discuss the importance of data analysis and process monitoring in achieving control and improving process stability.

Furthermore, the book emphasizes the role of artificial intelligence and machine learning in the optimization and control of industrial processes. The authors discuss the use of neural networks, fuzzy logic, and other advanced algorithms to enhance the accuracy and efficiency of process modeling and control. They also explore the potential of these technologies in real-time optimization and decision-making.

Throughout the book, the authors maintain a clear and concise writing style, making it accessible to a wide range of readers, including students, researchers, and professionals in the field of industrial process engineering. The inclusion of numerous figures, tables, and examples further enhances the understanding of the topics discussed.

In conclusion, Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process is a valuable resource for anyone interested in developing mathematical models for complex industrial processes, designing optimization strategies, and implementing control methods. The book offers practical insights and methodologies that can be applied to a wide range of industries, and its emphasis on real-world applications and the integration of advanced technologies makes it an essential read for professionals seeking to improve their process engineering skills.

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