000			03004nam a22004935i 4500
001			978-0-85729-619-1
003			DE-He213
005			20140220083714.0
007			cr nn 008mamaa
008			110622s2011 xxk| s |||| 0|eng d
020			_a9780857296191 _9978-0-85729-619-1
024	7		_a10.1007/978-0-85729-619-1 _2doi
050		4	_aTL1-483
072		7	_aTRC _2bicssc
072		7	_aTRCS _2bicssc
072		7	_aTEC009090 _2bisacsh
082	0	4	_a629.2 _223
100	1		_aShi, Yu. _eauthor.
245	1	0	_aComputational Optimization of Internal Combustion Engines _h[electronic resource] / _cby Yu Shi, Hai-Wen Ge, Rolf D. Reitz.
264		1	_aLondon : _bSpringer London, _c2011.
300			_aXXII, 309p. 157 illus., 108 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_a1. 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.
520			_aComputational 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.
650		0	_aEngineering.
650		0	_aComputer science.
650		0	_aEngineering mathematics.
650	1	4	_aEngineering.
650	2	4	_aAutomotive Engineering.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aComputational Science and Engineering.
650	2	4	_aMachinery and Machine Elements.
700	1		_aGe, Hai-Wen. _eauthor.
700	1		_aReitz, Rolf D. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857296184
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-85729-619-1
912			_aZDB-2-ENG
999			_c105240 _d105240