Computational Optimization of Internal Combustion Engines [recurso electrónico] / by Yu Shi, Hai-Wen Ge, Rolf D. Reitz.
Tipo de material: TextoEditor: London : Springer London, 2011Descripción: XXII, 309p. 157 illus., 108 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780857296191Tema(s): Engineering | Computer science | Engineering mathematics | Engineering | Automotive Engineering | Appl.Mathematics/Computational Methods of Engineering | Computational Science and Engineering | Machinery and Machine ElementsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 629.2 Clasificación LoC:TL1-483Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|---|
Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | TL1 -483 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 370598-2001 |
Navegando Biblioteca Electrónica Estantes, Código de colección: Colección de Libros Electrónicos Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
TK7816 M697 2009 EB Electrónica de potencia | TK7895.E42 Y58 2011 EB The definitive guide to the ARM Cortex-M0 | TL1 -483 Hydrogen Fuel Cells for Road Vehicles | TL1 -483 Computational Optimization of Internal Combustion Engines | TL1 -483 Vehicle Power Management | TL1 -483 WIG Craft and Ekranoplan | TL1 -483 Intelligent Freeway Transportation Systems |
1. Introduction -- 2. Fundamentals -- 3. Acceleration of Multi-dimensional Engine Simulation with Detailed Chemistry -- 4. Assessment of Optimization and Regression Methods for Engine Optimization -- 5. Scaling Laws for Diesel Combustion Systems -- 6. Applications -- 7. Epilogue.
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.
19