Experimental study on the spray characteristics discharging from elliptical diesel nozzle at typical diesel engine conditions

Yu, Shengwei; Yin, Bifeng; Deng, Wang-Qiu; Jia, Huang; Ye, Ze; Xu, Bin; Xu, Huacheng

doi:10.1016/j.fuel.2018.02.090

Cited by 52 publications

(22 citation statements)

References 22 publications

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“…Furthermore, the volume fraction of gas was comparatively bigger for elliptical A and elliptical B at the same injection time as compared to the circle nozzle shape. In this study, the aspect Figure 11 that the simulation results are quantitatively consistent with the experimental results, and the average discrepancy between experiment by Yu et al [41], and the current experiment and simulations was within about 3.8% and 7.1%, respectively. Based on the assessment, the advantage of the simulation with Fluent was verified for sufficiently handling the spray formation behaviour.…”

Section: Model Validationsupporting

confidence: 83%

“…Figure 10, the result shows that almost identical results were obtained between the experiment and numerical simulations for spray tip penetration. Furthermore, the spray tip penetration average error between the experiment by Yu et al [41], and current experiment and simulations, were 5.16% and 6.33%, respectively. Figure 11 that the simulation results are quantitatively consistent with the experimental results, and the average discrepancy between experiment by Yu et al [41], and the current experiment and simulations was within about 3.8% and 7.1%, respectively.…”

Section: Model Validationmentioning

confidence: 51%

“…Hence, based on the method presented above, a simulation system was developed with ANSYS Fluent. For verification purposes, the experimental results of Yu et al [41], which used diesel fuel with the same material properties and operating conditions as in the present numerical study, were compared with the simulation results. Furthermore, our experimental results were also included in the results.…”

Section: Model Validationmentioning

confidence: 99%

“…Additionally, the quantitative results of spray performances are analyzed in the next section. Yu et al [41] due to the poor resolution of the high-speed camera. Furthermore, it can be found that the experimental spray characteristic shows a coarse pattern at the nozzle exit due to difficulty for the experimental work to capture the small structure in the spray.…”

Section: Model Validationmentioning

confidence: 99%

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Numerical Analysis of Nozzle Flow and Spray Characteristics from Different Nozzles Using Diesel and Biofuel Blends

et al. 2019

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In this paper, the discrete phase model (DPM) was introduced to study the fuel injector cavitations process and the macro spray characteristic of three different types of nozzle spray shape with diesel and hybrid biofuel blend for several injection pressures and backpressures. The three types of nozzle spray shapes used were circle, elliptical A type, and elliptical B type. The cavitations’ flows inside the injector nozzles were simulated with Computer Fluid Dynamics (CFD) simulations using the cavitations mixture approach. The effect of nozzle spray shape towards the spray characteristic of hybrid biofuel blends is analyzed and compared with the standard diesel. Furthermore, a verification and validation from both the experimental results and numerical results are also presented. The nozzle flow simulation results indicated that the fuel type did not affect the cavitation area vastly, but were more dependent on the nozzle spray shape. In addition, the spray width of the elliptical nozzle shape was higher as compared to the circular spray. Moreover, as the backpressure increased, the spray width downstream increased as well. The spray tip penetration for the elliptical nozzle shape was shorter than the circular nozzle shape due to circular nozzles having smaller nozzle widths and lesser spray cone angles. Thus, this resulted in smaller aerodynamic drag.

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Section: Model Validationsupporting

confidence: 83%

Section: Model Validationmentioning

confidence: 51%

Section: Model Validationmentioning

confidence: 99%

Section: Model Validationmentioning

confidence: 99%

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Numerical Analysis of Nozzle Flow and Spray Characteristics from Different Nozzles Using Diesel and Biofuel Blends

et al. 2019

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“…On the one hand, increasing the injection pressure can improve the aerodynamic effect of the jet and enhance the spray performances. However, higher injection pressure also increases the energy consumption [1]. On the other hand, the jet shape obtained by the general pressure atomization method is hollow and results in uneven spray and large size of atomized droplets, which is harmful to the quality of spray jet [2].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective parameters optimization design of self-excited oscillation pulsed atomizing nozzle

Wang

Sun

Chen

2019

J Braz. Soc. Mech. Sci. Eng.

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The self-excited oscillation pulsed atomizing nozzle can effectively and evenly spray the high-speed solid cone jet without any extra power. The primary atomization of the jet at the outlet of nozzle directly affects the final spray quality, and the turbulence and cavitation at the outlet of the atomizing nozzle are the other two main factors affecting the atomization. In this work, multi-objective optimization depending on nozzle parameters was established by using mathematical optimization techniques and computational fluid dynamics to improve the jet atomization quality at the outlet of the nozzle. The central composite design method and the response surface method were used to obtain the approximate mathematical model of the primary atomization quality of the jet at the outlet of nozzle. Finally, the non-dominated sorting genetic algorithm with elitist strategy (NSGA-II) and the grey theory were used in combination to optimize the nozzle parameters. Through combining with the NSGA-II and the grey theory, the nozzle parameters were optimized in order to obtain the best primary atomization at the outlet area of nozzle. The optimization results verified the nozzle design with multi-objective optimization method. The optimized values of the turbulent kinetic energy F 1 and the vapor volume fraction F 2 increased by 28.26% and 5.56%, respectively, and the corresponding nozzle parameters of the chamber diameter D, the lower nozzle diameter d 2 and the upper nozzle inlet pressure P in were, respectively, optimized to 28.056 mm, 5.472 mm and 3.999 Mpa.

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Investigation on the effect of the flow passage geometry of diesel injector nozzle on injection process parameters and engine performances

Марков

Kamaltdinov

et al. 2022

Energy Science & Engineering

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Experimental study on the spray characteristics discharging from elliptical diesel nozzle at typical diesel engine conditions

Cited by 52 publications

References 22 publications

Numerical Analysis of Nozzle Flow and Spray Characteristics from Different Nozzles Using Diesel and Biofuel Blends

Numerical Analysis of Nozzle Flow and Spray Characteristics from Different Nozzles Using Diesel and Biofuel Blends

Multi-objective parameters optimization design of self-excited oscillation pulsed atomizing nozzle

Investigation on the effect of the flow passage geometry of diesel injector nozzle on injection process parameters and engine performances

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