| 000 | 03453nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-0-85729-619-1 | ||
| 003 | DE-He213 | ||
| 005 | 20240429115939.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110622s2011 xxk| s |||| 0|eng d | ||
| 020 |
_a9780857296191 _9978-0-85729-619-1 |
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| 024 | 7 |
_a10.1007/978-0-85729-619-1 _2doi |
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| 050 | 4 | _aTL1-483 | |
| 072 | 7 |
_aTRC _2bicssc |
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| 072 | 7 |
_aTEC009090 _2bisacsh |
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| 072 | 7 |
_aTRC _2thema |
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| 082 | 0 | 4 |
_a629.2 _223 |
| 100 | 1 |
_aShi, Yu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aComputational Optimization of Internal Combustion Engines _h[electronic resource] / _cby Yu Shi, Hai-Wen Ge, Rolf D. Reitz. |
| 250 | _a1st ed. 2011. | ||
| 264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2011. |
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| 300 |
_aXXII, 309 p. 157 illus., 108 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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 | _aAutomotive engineering. | |
| 650 | 0 | _aEngineering mathematics. | |
| 650 | 0 | _aEngineering—Data processing. | |
| 650 | 0 | _aMathematics—Data processing. | |
| 650 | 0 | _aMachinery. | |
| 650 | 1 | 4 | _aAutomotive Engineering. |
| 650 | 2 | 4 | _aMathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | _aComputational Science and Engineering. |
| 650 | 2 | 4 | _aMachinery and Machine Elements. |
| 700 | 1 |
_aGe, Hai-Wen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aReitz, Rolf D. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780857296207 |
| 776 | 0 | 8 |
_iPrinted edition: _z9780857296184 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781447169109 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-0-85729-619-1 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 999 |
_c9384 _d9384 |
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