Numerical simulation analysis on the flow field characteristics of electric-controlled pressure amplifier for ultra high pressure common rail system

Author(s):  
Y. F. Hu ◽  
L. Zhou ◽  
S. J. An ◽  
K. Yang ◽  
Z. M. Liu
Author(s):  
Kun Yang ◽  
Lei Zhou ◽  
Gang Wang ◽  
Tao Nie ◽  
Xin Wu

In order to overcome the difficulties of high pressure source design and parts integration in the injector, realizing the ultra high pressure injection and controllable fuel injection rate, an ultra high pressure common rail system based on domestic basic materials and manufacturing technology level was proposed and designed. The working principle of this system was first introduced; the performance test bench of ultra high pressure common rail system was built. Then, the influence of pressure-amplifier device structure parameters on the pressurization pressure peak was analyzed quantitatively, and on the basis of selecting the most appropriate combination of parameters, the pressure and fuel injection rate control characteristics were conducted. The results show that ultra high pressure common rail system can magnify fuel pressure to ultra high pressure state (more than 200 MPa) and by changing the control signal timing of pressure-amplifier device and injector solenoid valve, the flexible and controllable fuel injection rate can be achieved. Under the condition of the same pressurization ratio, the peak value of pressurization pressure increases gradually, and with the increase of pressurization ratio, the increasing trend of the pressurization pressure peak value is nonlinear. At the same time, under the same condition of spring preload, the greater of the spring stiffness, the higher of the rail base pressure can bear, that means the pressure-amplifier device can achieve pressurization at a higher base pressure. But if the spring stiffness is too large, the solenoid valve of pressure-amplifier device will not be opened due to insufficient electromagnetic force, so the specific selection should be considered in a compromise.


Measurement ◽  
2021 ◽  
Vol 170 ◽  
pp. 108716
Author(s):  
Quan Dong ◽  
Xiyu Yang ◽  
Hao Ni ◽  
Jingdong Song ◽  
Changhao Lu ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5481
Author(s):  
Qinpeng Wang ◽  
Heming Yao ◽  
Yonghua Yu ◽  
Jianguo Yang ◽  
Yuhai He

In this paper, the high-pressure common rail system of the marine diesel engine is taken as case study to establish a real-time simulation model of the high-pressure common rail system that can be used as the controlled object of the control system. On the premise of ensuring accuracy, the real-time simulation should also respond quickly to instructions issued by the control system. The development of the real-time simulation is based on the modular modeling method, and the high-pressure common rail system is divided into submodels, including the high-pressure oil pump, common rail tube, injector, and mass conversion. The submodels are built using the “surrogate model” method, which is mainly composed of MAP data and empirical formulas. The data used to establish the real-time simulation are not only from the empirical research into the high-pressure common rail system, but also from simulations of the high-pressure common rail system undertaken in AEMSim. The data obtained from this real-time simulation were compared with the experimental data to verify the model. The error in fuel injection quality is less than 5%, under different pressures and injection durations. In order to carry out dynamic verification, the PID control strategy, the model-based control strategy, and the established real-time simulation are all closed-loop tested. The results show that the developed real-time simulation can simulate the rail pressure wave caused by cyclic injection according to the control signal, and can feedback the control effect of different control strategies. Through verification, it is clear that the real-time simulation of the high-pressure common rail system can depict the rail pressure fluctuation caused by each cycle of fuel injection, while ensuring the accuracy and responsiveness of the simulation, which provides the ideal conditions for the study of a rail pressure control strategy.


2012 ◽  
Author(s):  
Robert W. Warden ◽  
Edwin A. Frame ◽  
Douglas M. Yost ◽  
Patsy A. Muzzell ◽  
Eric R. Sattler

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