Computational Optimization of Internal Combustion Engines
| Author | : | |
| Rating | : | 4.52 (971 Votes) |
| Asin | : | 0857296183 |
| Format Type | : | paperback |
| Number of Pages | : | 309 Pages |
| Publish Date | : | 2016-03-18 |
| Language | : | English |
DESCRIPTION:
Yu Shi works for the Department of Chemical Engineering, Massachusetts Institute of Technology, USA.Hai-Wen Ge and Rolf D. Reitz (ASME/SAE Fellow and Wisconsin Distinguished Professor), both work for the Engine Research Center, University of Wisconsin-Madison, USA.
"Internal Combustion Evolution" according to Paul Unrau. Written by a leader in the optimization of engine design for modern conditions. Not a beginners text book; advanced maths required. Interesting for a geneticist to see the application of genetic evolutionary algorithms to the evolution of complex mechanisms - who knew that evolution apples to internal combustion engi
It is written for researchers and designers in mechanical engineering and the automotive industry.. From the Back CoverComputational 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 dies
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. Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engin