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Image of - Computational Optimization of Internal Combustion Engines | Hardcover
Computational Optimization of Internal Combustion Engines | Hardcover

Computational Optimization of Internal Combustion Engines | Hardcover

by Shi

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.

Highlights

  • binding-icon

    9780857296184

    ISBN:

  • binding-icon

    Shi

    Author:

  • binding-icon

    309

    Pages:

  • binding-icon

    612 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2011

    Year:

  • edition-icon

    N/A

    Edition:

  • binding-icon

    Hardcover

    Binding:

₹14550

₹18188

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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