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Computational Optimization of Internal Combustion Engines (Hardcover, Edition.)
Loot Price: R4,482
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Computational Optimization of Internal Combustion Engines (Hardcover, Edition.)
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Computational Optimization of Internal Combustion Engines presents
the state of the art of computational models and optimization
methods for internal combustion engine development using
multi-dimensional computational fluid dynamics (CFD) tools and
genetic algorithms. Strategies to reduce computational cost and
mesh dependency are discussed, as well as regression analysis
methods. Several case studies are presented in a section devoted to
applications, including assessments of: spark-ignition engines,
dual-fuel engines, heavy duty and light duty diesel engines.
Through regression analysis, optimization results are used to
explain complex interactions between engine design parameters, such
as nozzle design, injection timing, swirl, exhaust gas
recirculation, bore size, and piston bowl shape. Computational
Optimization of Internal Combustion Engines demonstrates that the
current multi-dimensional CFD tools are mature enough for practical
development of internal combustion engines. It is written for
researchers and designers in mechanical engineering and the
automotive industry.
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