2011
DOI: 10.1007/978-0-85729-619-1
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Computational Optimization of Internal Combustion Engines

Abstract: Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the term… Show more

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Cited by 82 publications
(61 citation statements)
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“…inside the cylinder. Despite their accuracy, these models with high CPU time are inadequate for real time simulations and are usually used for parts definition: combustion chamber form [14], in-cylinder charge distribution [2][3][4]15] fuel jet-air interaction [16]. In fact, reduced modelling approaches with low computational efforts are very useful for real time simulations.…”
Section: Introductionmentioning
confidence: 98%
“…inside the cylinder. Despite their accuracy, these models with high CPU time are inadequate for real time simulations and are usually used for parts definition: combustion chamber form [14], in-cylinder charge distribution [2][3][4]15] fuel jet-air interaction [16]. In fact, reduced modelling approaches with low computational efforts are very useful for real time simulations.…”
Section: Introductionmentioning
confidence: 98%
“…The engine-out soot is the final particle survived through these soot formation and oxidation processes. Soot particles are usually assumed to have a spherical shape in simplified two-step models (Cantrell et al, 2009;Ge et al, 2009;Ge et al, 2010;Hiroyasu and Kadota, 1976;Kong et al, 2007;Shi et al, 2011), phenomenological multi-step models (Jia et al, 2009;Tao et al, 2006Tao et al, , 2007Tao et al, 2009;Reitz, 2009, 2015), and comprehensive models (Frenklach and Wang, 1991;Kazakov and Frenklach, 1998;Kazakov et al, 1995;Kumar and Ramkrishna, 1996;Wen et al, 2005). Chainlike soot agglomerates of sizes up to a micrometer size range may exist.…”
Section: Introductionmentioning
confidence: 99%
“…The computer aided design and numerical simulation of flow with computational fluid dynamics in recent years have gained a desirable ground on the field of energy and engine exploration thanks to their rapid processors. 5,6 Engine optimization in general is rated as evolutionary or heuristic as in genetic algorithm (GA) 7 or nonevolutionary or gradient-based method as nonlinear programming by quadratic Lagrangian (NLPQL) 8 or Nelder-Mead algorithm. 9 Hu et al [10][11][12] have performed an optimization work on a medium speed marine diesel engine where it serves as an effective tool to reduce emissions and increase the engine operation metrics.…”
Section: Exergy Analysis Of the Baseline And Optimized Engine Charactmentioning
confidence: 99%