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Springer Computational Optimization of Internal Combustion Engines

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Description

Explore state-of-the-art computational models and optimisation methods for internal combustion engine development through this comprehensive Springer publication. The book combines multi-dimensional computational fluid mechanics (CFD) tools with genetic algorithms to provide engineers and researchers with practical insights into engine design and performance enhancement. This technical resource covers advanced modelling techniques and algorithmic approaches essential for modern engine development, offering both theoretical foundations and applied methodologies for optimising combustion processes, thermal efficiency, and emissions control. Ideal for automotive engineers, research scientists, and engineering students seeking to understand how computational approaches drive innovation in internal combustion engine technology and development strategies.

Key Features

Covers state-of-the-art computational models specifically designed for internal combustion engine development and optimisation.

Integrates multi-dimensional computational fluid mechanics (CFD) tools to simulate complex engine processes and performance characteristics.

Presents genetic algorithms as optimisation methods for solving complex engineering problems in engine design.

Published by Springer, providing peer-reviewed academic content from leading researchers in combustion engineering.

Combines theoretical foundations with practical applications for modern engine development and efficiency improvements.

Product Specifications

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

Barcode

No barcode data available

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