Vorliegende Sprache |
eng |
Hinweise auf parallele Ausgaben |
348532245 Buchausg. u.d.T.: ‡Shi, Yu: Computational optimization of internal combustion engines |
ISBN |
978-0-85729-618-4 |
Name |
Shi, Yu |
Ge, Hai-Wen |
Name ANZEIGE DER KETTE |
Ge, Hai-Wen |
Name |
Reitz, Rolf D. |
T I T E L |
Computational Optimization of Internal Combustion Engines |
Verlagsort |
London |
Verlag |
Springer-Verlag London Limited |
Erscheinungsjahr |
2011 |
2011 |
Umfang |
Online-Ressource (XXII, 309p. 157 illus., 108 illus. in color, digital) |
Reihe |
SpringerLink. Bücher |
Notiz / Fußnoten |
Includes bibliographical references and index |
Weiterer Inhalt |
Computational Optimization of Internal Combustion Engines; Preface; Acknowledgments; Contents; Abbreviations, Nomenclature; 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; References; Index; |
Titelhinweis |
Buchausg. u.d.T.: ‡Shi, Yu: Computational optimization of internal combustion engines |
ISBN |
ISBN 978-0-85729-619-1 |
Klassifikation |
TRC |
TRCS |
TEC009090 |
629.2 |
621.43015196 |
TL1-483 |
Kurzbeschreibung |
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 mechanics (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: diesel engines,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. |
SWB-Titel-Idn |
34710956X |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-0-85729-619-1 |
Internetseite / Link |
Volltext |
Siehe auch |
Volltext |