Fully predictive Common Rail fuel injection apparatus model and its application to global system dynamics analyses

Ferrari, Alessandro; Pizzo, Pietro

doi:10.1177/1468087416653246

Cited by 13 publications

(5 citation statements)

References 39 publications

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“…The pressure time history measured inside the rail is applied to a 0D chamber as a boundary condition, together with the current signal to the pilot stage. The selected boundary conditions allow the possibility to avoid any inaccuracy in the high-pressure pump and in the Electronic Control Unit modeling [31]. The flow through the hydraulic circuit is assumed as isothermal.…”

Section: Numerical Modelsmentioning

confidence: 99%

Instantaneous flowrate measurements in high-pressure liquid flows

Ferrari,

Pizzo,

Rundo

et al. 2023

J. Phys.: Conf. Ser.

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A new flowmeter suitable for high-pressure flows and with a prompt dynamic response is presented. It is constituted by two pressure transducers installed on the monitored high-pressure pipe at a fixed distance one from the other, together with a low-pressure flowmeter that provides a time-averaged flowrate. The measurement algorithm consists of an ordinary differential equation obtained by combining the mass conservation partial differential equation and the momentum balance one applied to the considered piece of pipe comprised between the two pressure transducers. Due to the absence of a master instrument that can be employed as reference to verify the consistency of the measured flowrate, the flowmeter accuracy has been demonstrated by means of numerical models of various hydraulic components, rigorously validated through pressure measurements. The flow ripple of gear pumps has been measured, as well as the flowrate entering a Common Rail injector. For all these cases, the measured flowrate and the one obtained by means of the numerical model are in very good agreement, leading to a robust validation of the presented measurement device.

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Section: Numerical Modelsmentioning

confidence: 99%

Instantaneous flowrate measurements in high-pressure liquid flows

Ferrari,

Pizzo,

Rundo

et al. 2023

J. Phys.: Conf. Ser.

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“…The time-averaged pump shaft torque has been measured by means of a torsiometer for different Δ p values; the high-pressure level at the pump delivery was controlled by means of the injection system rail pressure regulation system. 18 The time average of T ind , which is calculated according to equation (6), taking into account the presence of the three pistons, is subtracted from the measured pump shaft torque and T fric torque is worked out as difference. A linear correlation between T fric and Δ p is found in line with equation (8): some data on T fric are reported in Table 1.…”

Section: Mechanical Model Descriptionmentioning

confidence: 99%

Instantaneous torque, energy saving and flow rate ripple analysis of a common rail pump equipped with different delivery-pressure control systems

Ferrari

Vitali

2017

International Journal of Engine Research

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A mechanical model of a high-pressure pump of a common rail fuel injection system is presented and validated by comparison with experimental instantaneous pump shaft torque and pump piston lift data. The instantaneous torque has been measured with a high-performance torque meter installed on a hydraulic rig for testing pieces of injection apparatus. In the model, the mechanics of the piston plunger and the forces exchanged between pistons and cam are simulated, and friction losses between mobile parts are taken into account. The numerical tool is used to investigate the dynamical performance of the high-pressure pump and to analyse the impact of the rail pressure control strategy on instantaneous torque, energy saving and flow rate ripple. The rail pressure control strategy, based on the application of a fuel metering valve at the pump inlet, gives rise to an improved hydraulic efficiency of the injection system at part loads and to a moderate rate of pressure increase in the pumping chamber at part loads. However, the rail pressure control strategy based on the installation of a pressure control valve at one rail extremity leads to a reduction in the pump flow rate ripple and to a diminution in the fatigue stress. Furthermore, cavitation problems can occur during intake and early compression phases of the pump cycle when the fuel metering unit is working.

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“…Common rail system performance is monitored in real time. 2 However, in combustion tests or practical engineering applications, the injectors are sealed in the combustion chamber and the performance parameters such as injection pressure curve and injection quantity cannot be obtained directly by conventional methods. In this case, it is particularly necessary to obtain the injection-related parameters by various methods.…”

Section: Introductionmentioning

confidence: 99%

Study on observation method of injection pressure curve in high pressure common rail system

2022

International Journal of Engine Research

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The performance of the diesel engine was determined by the injection pressure of the high pressure common rail system. The observation method of the injection pressure curve was of great value in evaluating the operating conditions of the diesel engine. However, the observation method could make it impossible to directly observe the injection pressure data on a high pressure common rail system in operation. In this paper, common rail pressure signals and control pulse widths, which were easy to collect, were used as the basis for proposing a GRU (Gated Recurrent Unit) based model for the observation of injection pressure curves of high pressure common rail system in order to solve the above problem. The accuracy and precision of the model was verified by the experiments and compared with commonly used simulation models. From the results, it was concluded that the overall accuracy of the injection pressure curve observation was similar to that of the simulation model, but the accuracy was higher around the peak of the injection pressure, as well as the equipment requirement was low and the calculation speed was fast. The mean EMD of the curvilinear observation model of injection pressure of high pressure common rail system is similar to that of the 1D simulation model, with 37.88 and 33.62 respectively. The overall difference in injection pressure between the two models is similar with 53.62 and 54.23 MPa respectively. On the same computing platform, the average computation time of the test set containing five states is 0.0113 s, and the simulation time of each running state is 12951.6 s using AMESim software.

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Fully predictive Common Rail fuel injection apparatus model and its application to global system dynamics analyses

Cited by 13 publications

References 39 publications

Instantaneous flowrate measurements in high-pressure liquid flows

Instantaneous flowrate measurements in high-pressure liquid flows

Instantaneous torque, energy saving and flow rate ripple analysis of a common rail pump equipped with different delivery-pressure control systems

Study on observation method of injection pressure curve in high pressure common rail system

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