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Books on the topic 'Combustion optimization'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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1

Shi, Yu, Hai-Wen Ge, and Rolf D. Reitz. Computational Optimization of Internal Combustion Engines. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-619-1.

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2

Zhou, Hao, and Kefa Cen. Combustion Optimization Based on Computational Intelligence. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7875-0.

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3

Shi, Yu. Computational optimization of internal combustion engines. Springer, 2011.

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4

D, Holdeman J., Samuelsen G. S, and Lewis Research Center, eds. Optimization of jet mixing into a rich, reacting crossflow. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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5

Steffen, Christopher J. Fuel injector design optimization for an annular scramjet geometry. NASA Glenn Research Center, 2003.

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6

Riehl, John. SRM-assisted trajectory for the GTX reference vehicle. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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7

Charles, Trefny, Kosareo Daniel, and NASA Glenn Research Center, eds. SRM-assisted trajectory for the GTX reference vehicle. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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8

D, Goodson Troy, Ledsinger Laura A, and United States. National Aeronautics and Space Administration., eds. Theory and computation of optimal low-and medium-thrust transfers. National Aeronautics and Space Administration, 1995.

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9

United States. National Aeronautics and Space Administration., ed. Theory and computation of optimal low- and medium-thrust transfers. National Aeronautics and Space Administration, 1994.

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10

D, Goodson Troy, Ledsinger Laura A, and United States. National Aeronautics and Space Administration., eds. Theory and computation of optimal low-and medium-thrust transfers. National Aeronautics and Space Administration, 1995.

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11

United States. National Aeronautics and Space Administration., ed. Advances in hypersonic vehicle synthesis with application to studies of advanced thermal protection systems: Final report. National Aeronautics and Space Administration, 1995.

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12

United States. National Aeronautics and Space Administration., ed. Advances in hypersonic vehicle synthesis with application to studies of advanced thermal protection systems: Final report. National Aeronautics and Space Administration, 1995.

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13

Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors
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14

Han, Zhiyu. Simulation and Optimization of Internal Combustion Engines. SAE International, 2021. http://dx.doi.org/10.4271/9781468604016.

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Simulation and Optimization of Internal Combustion Engines provides the fundamentals and up-to-date progress in multidimensional simulation and optimization of internal combustion engines. While it is impossible to include all the models in a single book, this book intends to introduce the pioneer and/or the often-used models and the physics behind them providing readers with ready-to-use knowledge. Key issues, useful modeling methodology and techniques, as well as instructive results, are discussed through examples. Readers will understand the fundamentals of these examples and be inspired to
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15

Reitz, Rolf D., Yu Shi, and Hai-Wen Ge. Computational Optimization of Internal Combustion Engines. Springer, 2016.

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16

DIAZ, P. M. Computational Optimization of Internal Combustion Engines. DJ Publications, 2014. http://dx.doi.org/10.18831/djbooks.org/2014001.

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17

Zhou, Hao, and Kefa Cen. Combustion Optimization Based on Computational Intelligence. Springer, 2019.

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18

Zhou, Hao. Combustion Optimization Based on Computational Intelligence. Springer, 2018.

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19

Reitz, Rolf D., Yu Shi, and Hai-Wen Ge. Computational Optimization of Internal Combustion Engines. Springer, 2013.

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20

Zhou, Hao, and Kefa Cen. Combustion Optimization Based on Computational Intelligence. Springer, 2018.

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21

Han, Zhiyu. Simulation and Optimization of Internal Combustion Engines. SAE International, 2021.

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22

Han, Zhiyu. Simulation and Optimization of Internal Combustion Engines. SAE International, 2021.

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23

Advanced Technologies for the Optimization of Internal Combustion Engines. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-2569-3.

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24

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-03091-4.

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25

Som, Sibendu, Jihad Badra, Pinaki Pal, and Yuanjiang Pei. Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines. Elsevier, 2022.

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26

Som, Sibendu, Jihad Badra, Pinaki Pal, and Yuanjiang Pei. Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines. Elsevier, 2022.

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27

Zaporozhets, A. O., and V. P. Babak. Control of fuel combustion in small and medium power boilers. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.418.128.

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The monograph deals with the problems of increasing the effi ciency of fuel combustion and reducing emissions of harmful substances in boilers with a capacity of up to 3.5 MW. Approaches for the formation of stoichiometric air-fuel mixtures in boilers are developed. Th e method for indirect determination of the concentration of air components was developed, which allows to increase the metrological characteristics of gas-analyzing devices. Methods, algorithms and programs to automate the combustion control process, while ensuring the reliability of the data, are created. A system for monitorin
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28

SRM-assisted trajectory for the GTX reference vehicle. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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29

SRM-assisted trajectory for the GTX reference vehicle. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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30

Optimization of the Combustion of Pulverized Coal Through Measurement and Regulation of the Coal Mass Flow. European Communities / Union (EUR-OP/OOPEC/OPOCE), 1994.

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31

Theory and computation of optimal low- and medium-thrust transfers: Semi-annual status report, January 7, 1994 to July 6, 1994. National Aeronautics and Space Administration, 1994.

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