Development of Novel Direct-injection Diesel Engine Combustion Chamber Designs Using Computational Fluid Dynamics

Senecal, P. K.; Uludogan, A.; Reitz, Rolf D.

doi:10.4271/971594

Cited by 12 publications

(3 citation statements)

References 26 publications

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“…drop's drag coefficient is allowed to change dynamically between that of a sphere (in the case of no dis-Although a multi-dimensional CFD model provides tortion) and that of a disc (in the case of maximum a tool for simulating both conventional and uncondistortion) depending on the conditions surrounding ventional concepts (e.g. see references [22] and [23]), the drop. Details of this model are described by an efficient design process must be based on a math-Rutland et al [15].…”

Section: Optimization Methodsmentioning

confidence: 99%

A methodology for engine design using multi-dimensional modelling and genetic algorithms with validation through experiments

Senecal

Montgomery

Reitz

2000

International Journal of Engine Research

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A methodology for internal combustion engine design has been formulated which incorporates multidimensional modelling and experiments to optimize and simulate direct injection diesel engine combustion and emissions formation. The computer code KIVA-GA performs full-cycle engine simulations within the framework of a genetic algorithm (GA) global optimization code. The methodology is applied to optimize a heavy-duty diesel truck engine. The study simultaneously investigated the effects of six engine input parameters on emissions and performance for a high-speed medium-load operating point. The start of injection (SOI), injection pressure, amount of exhaust gas recirculation (EGR), boost pressure and split injection rate shape were optimized. The convergence of the GA optimization process is demonstrated and the results were compared to those of the experimental optimization study employing a response surface method (RSM), which uses statistically designed experiments to determine an optimum design. In addition, the parameters of the computationally predicted optimum were run experimentally and good agreement was obtained. The potential for ultra-low emissions levels was assessed through additional computational GA runs that included higher maximum EGR levels (up to 50 per cent). The predicted optimum results in significantly lower soot and NOx emissions together with improved fuel consumption compared to the baseline design. The present results indicate that an efficient design methodology has been developed for optimization of internal combustion engines, one that allows simultaneous optimization of a large number of parameters.

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Section: Optimization Methodsmentioning

confidence: 99%

A methodology for engine design using multi-dimensional modelling and genetic algorithms with validation through experiments

Senecal

Montgomery

Reitz

2000

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…The multiple injection concept was introduced first to increase the engine's energy density [11,12]. However, in the last decade, this concept has been implemented to reduce HT losses [9,22] and increase the exhaust energy [10,13,21].…”

Section: Energy Distribution and Heat Transfer Lossesmentioning

confidence: 99%

“…Senecal et al [11] conducted computational fluid dynamics (CFD) simulations with different combustion chamber shapes and number of injectors. The study concluded that both two and three injectors per cylinder reduced NOx emissions.…”

Section: Introductionmentioning

confidence: 99%

Effects of Multiple Injectors on Spray Characteristics and Efficiency in Internal Combustion Engines

Jiménez

Nyrenstedt

Goyal

et al. 2021

SAE Technical Paper Series

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High-pressure internal combustion engines promise high efficiency, but a proper injection strategy to minimize heat losses and pollutant emissions remain a challenge. Previous studies have concluded that two injectors, placed at the piston bowl's rim, simultaneously improve the mixing and reduce the heat losses. The two-injector configuration further improves air utilization while keeping hot zones away from the cylinder walls. This study investigates how the two-injector concept delivers even higher efficiency by providing additional control of spray -and injection angles. Three-dimensional Reynolds-averaged Navier-Stokes simulations examined several umbrella angles, sprayto-spray angles, and injection orientations by comparing the twoinjector cases with a reference one-injector case. The study focused on heat transfer reduction, where the two-injector approach reduces the heat transfer losses by up to 14.3 % compared to the reference case. Finally, this study connected the two-injector approach to a waste-heat recovery system through GT-Power 1-D simulations, increasing the importance of heat transfer reduction. The final two-injector system then delivered a 54.4% brake thermal efficiency compared to 53% of the one-injector reference case.

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Methods and Results from the Development of a 2600 Bar Diesel Fuel Injection System

Wickman

Tanin

Senecal

et al. 2000

SAE Technical Paper Series

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Development of Novel Direct-injection Diesel Engine Combustion Chamber Designs Using Computational Fluid Dynamics

Cited by 12 publications

References 26 publications

A methodology for engine design using multi-dimensional modelling and genetic algorithms with validation through experiments

A methodology for engine design using multi-dimensional modelling and genetic algorithms with validation through experiments

Effects of Multiple Injectors on Spray Characteristics and Efficiency in Internal Combustion Engines

Methods and Results from the Development of a 2600 Bar Diesel Fuel Injection System

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