2016
DOI: 10.1016/j.enconman.2015.12.010
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Optimization of the combustion system of a medium duty direct injection diesel engine by combining CFD modeling with experimental validation

Abstract: ElsevierBenajes Calvo, JV.; Novella Rosa, R.; Pastor Enguídanos, JM.; Hernández-López, A.; Hasegawa, M.; Tsuji, N.; Emi, M.... (2016) 6-1, Yokohama (Japan) 10 Jordi Martorell, Marcos Alonso 11Nissan Technical Centre Europe-Spain 12Zona franca sector 080540, Barcelona (Spain) 14Abstract 15 The research in the field of internal combustion engines is currently driven by the needs of decreasing 32The results confirmed the limited benefits, in terms of fuel consumption, around 2%, with constant NOx 33 e… Show more

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Cited by 49 publications
(27 citation statements)
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“…Chamber geometry can be very intricate which, in turn, complicates its recreation with only a few parameters. Here, a piston bowl profile generator was implemented using Bezier polynomial curves and five optimizing parameters [25]. As can be seen in Figure 5, this method offers a wide range of possible chamber designs, from large open bowls to tight and highly reentrant ones.…”
Section: Ga Optimization Strategymentioning
confidence: 99%
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“…Chamber geometry can be very intricate which, in turn, complicates its recreation with only a few parameters. Here, a piston bowl profile generator was implemented using Bezier polynomial curves and five optimizing parameters [25]. As can be seen in Figure 5, this method offers a wide range of possible chamber designs, from large open bowls to tight and highly reentrant ones.…”
Section: Ga Optimization Strategymentioning
confidence: 99%
“…Once the simulations have been validated, any number of parameters can be modified and readily tested. This encouraged development of additional techniques for the identification of optimization pathways with respect to combustion chamber design [25] or engine operating conditions [26,27]. The interest in optimization methods based on genetic algorithm (GA) has increased in the automotive industry over the last few years due to the wide range of solutions they offer in combination with CFD.…”
mentioning
confidence: 99%
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“…Since then, the field has progressed substantially and several types of algorithms have been developed, such as gradient-based methods, one-shot methods, gradient-free (stochastic) methods, hybrid methods, and surrogate-based methods [49,[53][54][55][56]. Considering the large number of recent publications, CFD-optimization is a rapidly developing research topic in the field of energy [57][58][59][60][61][62]. However, there exist only few previous studies in which CFD-optimization has been utilized in connection to large-scale combustion applications, such as boilers and furnaces.…”
Section: Superheater Regionmentioning
confidence: 99%
“…However, 3 these models are costly because their computations are time consuming. The use of these models is widely reported in the literature [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%