Design Optimization of Fluid Machinery: Applying Computational Fluid Dynamics and Numerical Optimization

Design Optimization of Fluid Machinery: Applying Computational Fluid Dynamics and Numerical Optimization 

Drawing on extensive research and experience, this timely reference brings together numerical optimization methods for fluid machinery and its key industrial applications. It logically lays out the context required to understand computational fluid dynamics by introducing the basics of fluid mechanics, fluid machines and their components. Readers are then introduced to single and multi-objective optimization methods, automated optimization, surrogate models, and evolutionary algorithms. Finally, design approaches and applications in the areas of pumps, turbines, compressors, and other fluid machinery systems are clearly explained, with special emphasis on renewable energy systems.

• Written by an international team of leading experts in the field
• Brings together optimization methods using computational fluid dynamics for fluid machinery in one handy reference
• Features industrially important applications, with key sections on renewable energy systems

Design Optimization of Fluid Machinery is an essential guide for graduate students, researchers, engineers working in fluid machinery and its optimization methods. It is a comprehensive reference text for advanced students in mechanical engineering and related fields of fluid dynamics and aerospace engineering.

Kwang-Yong Kim, Inha University, Republic of Korea.

Abdus Samad, Indian Institute of Technology Madras, India.

Ernesto Benini, University of Padova, Italy.