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Design Optimization of Fluid Machinery – eBook PDF

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eBook details

  • Authors: Kwang-Yong Kim, Abdus Samad, Emesto Benini
  • File Size: 17 MB
  • Format: PDF
  • Length: 304 pages
  • Publisher: Wiley; 1st edition
  • Publication Date: January 14, 2019
  • Language: English
  • ASIN: B07MTTP5LQ
  • ISBN-10: 1119188296, 111918830X, 1119188326, 1119188377
  • ISBN-13: 9781119188292, 9781119188322, 9781119188308, 9781119188377
SKU: design-optimization-of-fluid-machinery-applying-computational-fluid-dynamics-and-numerical-optimization-ebook-pdf Categories: , , , , , Tags: , , , , , , , , , , , , ,

Description

Design Optimization of Fluid Machinery: Applying Computational Fluid Dynamics and Numerical Optimization – eBook PDF

Design Optimization of Fluid Machinery: Applying Computational Fluid Dynamics and Numerical Optimization (PDF)

Drawing on extensive experience and research, this timely ebook 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. Students are then introduced to single and multi-objective optimization methods, surrogate models, automated optimization, and evolutionary algorithms. Finally, design approaches and applications in the areas of pumps, compressors, turbines, 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
  • Features industrially important applications, with key sections on renewable energy systems
  • Brings together optimization methods using computational fluid dynamics for fluid machinery in one handy reference

The ebook Design Optimization of Fluid Machinery (PDF) is an essential guide for researchers, graduate students, 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.

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