£107.98

Springer - Computational Optimization of Internal Combustion Engines

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Description

Advance your understanding of modern engine development with this technical resource from Springer. This book provides a deep look into the current state of the art regarding computational models and optimization methods used in the field of internal combustion engines. By focusing on practical applications of multi-dimensional computational fluid mechanics (CFD) tools, the text offers a clear pathway for studying complex engine processes. It also integrates the use of genetic algorithms to improve optimization workflows. This makes it a valuable asset for researchers and engineers looking to master the computational techniques required for high-level engine design and performance tuning.

Key Features

Covers state of the art computational models used in modern internal combustion engine development.

Explores the application of multi-dimensional computational fluid mechanics (CFD) tools for engine analysis.

Provides detailed information on using genetic algorithms for effective optimization methods.

Serves as a technical guide for those studying advanced computational methods in engine design.

Published by Springer to ensure high standards for academic and professional engineering content.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2016
Listed Since
21 June 2016

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No barcode data available

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