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雾化与喷雾
影响因子: 1.737 5年影响因子: 1.518 SJR: 0.814 SNIP: 1.18 CiteScore™: 2.2

ISSN 打印: 1044-5110
ISSN 在线: 1936-2684

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雾化与喷雾

DOI: 10.1615/AtomizSpr.2017019779
pages 999-1023

NUMERICAL SIMULATION OF HIGH-PRESSURE FUEL SPRAY BY USING A NEW HYBRID BREAKUP MODEL

Wenliang Qi
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
Wenping Zhang
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
Pingjian Ming
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
Ming Jia
School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China
Ye Peng
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China

ABSTRACT

The aim of this research is to develop a new hybrid breakup model by considering the influence of turbulence inside the nozzle and modifying the second breakup model. The model distinguishes between primary breakup and secondary breakup. In modeling primary breakup, the turbulence perturbation was characterized by the turbulence characteristic length and time scales, and the weight coefficient was used when incorporating into the primary breakup model (KH). For secondary breakup, a competition between the Kelvin–Helmholtz (KH) and Rayleigh–Taylor (RT) breakup mechanisms was adopted. In addition to the two breakup mechanisms above, the Taylor analogy breakup (TAB) was also selected as a third competing mechanism in this process. The modified FVM (finite volume method) method was used to solve fluid-flow equations and numerical simulations were performed with the in-house software GTEA (General Transport Equation Analysis). Four breakup models including the TAB, cascade atomization and drop breakup (CAB), Kelvin–Helmholtz Rayleigh–Taylor (KH-RT) and the new hybrid breakup (hybrid) were implemented in GTEA software. In order to validate the new hybrid model, comparisons of the predictions from the present model with experimental data and predictions from the other three models were conducted. The results indicate that prediction from the new hybrid model gives better agreement with experimental measurements than those of the previous model.


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