Fuel Injection System Of Diesel Engine Research Articles

Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning

In order to solve the problem of compound fault diagnosis of diesel engine fuel injection system under the condition of few samples, a comprehensive diagnosis method based on generative adversarial networks and transfer learning based multi label classification models is proposed in this paper, which is based on convolutional attention networks. The generative adversarial networks are used to enhance the original data, and the enhanced data is used as the source data for transfer learning to ensure its effectiveness. Design multi-dimensional labels for compound fault diagnosis to enable the model to diagnose compound faults and their individual faults. Pre train the convolutional attention network with enhanced data generated from adversarial networks. Subsequently, the original data is used to integrate the feature information in the network and perform secondary training on the classification module. Finally, a compound fault diagnosis is implemented based on the model after secondary training. The effectiveness of the comprehensive diagnostic method proposed in the article is verified using real fault data of the fuel injection system. The diagnostic accuracy on test data reached 80%. The effectiveness of the comprehensive diagnostic method proposed in the article was verified using real fault data of the fuel injection system. The diagnostic accuracy on test data reached 80%. Compared to the method of directly training convolutional attention networks using raw data and the method of directly training convolutional attention networks without transfer learning using GAN enhanced datasets, the accuracy is improved by 16% and 8%, respectively.

Injection control strategy of diesel engine based on speed segment PID and operating parameter adaptation

Aiming at the problems of low precision, poor anti-interference and poor follow-up in the control parameters for the diesel engine fuel injection system, this paper studies the control method of the high-pressure common rail electronic control fuel injection system of the diesel engine, constructs the high-pressure common rail fuel injection control system based on the ECU, and establishes the speed segment PID control model of fuel injection quantity, common rail pressure, fuel injection timing and fuel injection rate by using MATLAB/Simulink. The fuel injection quantity and timing are simulated. In order to realize all-round and flexible control of the diesel engine under different working conditions, and to achieve the desired optimal performance in all aspects, the optimization control method of the injection law for the diesel engine is studied. The diesel engine fuel injection control strategy based on speed segment PID and operating parameter adaptation is proposed to realize precise control of the common rail pressure, injection quantity, injection timing and injection rate under different working conditions. The simulation calculation and bench test show that the maximum fluctuation of rail pressure at idle speed is only 5 MPa, and the time to reach stability is only 1.25 s, which greatly improves the control accuracy, anti-interference and follow-up ability of the injection parameters.

Kalibrasi Pompa Injeksi Tipe In-Line Dalam Persamaan Volume Bahan Bakar Motor Diesel 4 Silinder

Injector is an important component in the diesel engine fuel injection system. This study aims to obtain the results of the in-line type injection pump calibration in the equation of the fuel volume of a 4 cylinder diesel motor. The research was conducted by making simple calibration equipment. Experiments were carried out for 200-300 rpm, 350-450 rpm and 550-600 rpm experimental apparatus rotation speed. Measurements are made for the volume of fuel using a measuring cup. Injection pump calibration is done by loosening the lock on the sleeve then sliding the sleeve to the left or right on each plunger to get fuel volume similarity. The results of data collection before calibration showed the volume of fuel was 26 ml, 30 ml, 30 ml, and 28 ml.
 
 Keywords: calibration, injecton pump, in-line, diesel engine

Effects of Diesel Fuel Nano-Additives on Friction and Wear Properties of Precision Coupled Parts of a Diesel Engine Fuel Injection System

Due to the unique redox characteristic of CeO2, the addition of CeO2 in diesel fuel reduces diesel engine emissions; however, its influence on the friction and wear performance of fuel injection systems is not clear. In this work, CeO2 was synthesized and modified. CeO2–diesel fuel blends with different concentrations were prepared. The dispersion stability of the CeO2 and modified CeO2 in diesel fuel blends was measured. The results indicated that the dispersion stability of the modified CeO2 in diesel fuel was improved. The effects of adding modified CeO2 to diesel fuel on the friction and wear properties of the fuel injector body were studied. Test results showed that the friction coefficients of all of the diesel fuel blends were the same after running in at normal temperature. At high temperature, the friction coefficients of diesel fuel blends with 10, 25, 50, and 100 ppm CeO2 added were reduced by 14.03, 25.27, 24.31, and 10.58%, respectively, compared with that of neat diesel fuel. Both the width and maximum depth of the wear scar were reduced to different degrees, and the diesel fuel blend dosed with 25 ppm CeO2 had the best antiwear ability at normal temperature and high temperature.HIGHLIGHTSThe morphology of modified CeO2 was spherical and relatively uniform.The dispersion stability of modified CeO2 in diesel fuel was improved.The addition of CeO2 in diesel fuel improved the friction and wear performance.With an increase in CeO2, the range of improvement first increased and then decreased.The diesel fuel blend with 25 ppm CeO2 added showed the best friction and wear performance.

Exploiting Bayesian networks for fault isolation: A diagnostic case study of diesel fuel injection system

Fault isolation is known to be a challenging problem in machinery troubleshooting. It is not only because the isolation of multiple faults contains considerable number of uncertainties due to the strong correlation and coupling between different faults, but often massive prior knowledge is needed as well. This paper presents a Bayesian network-based approach for fault isolation in the presence of the uncertainties. Various faults and symptoms are parameterized using state variables, or the so-called nodes in Bayesian networks (BNs). Probabilistically causality between a fault and a symptom and its quantization are described respectively by a directed edge and conditional probability. To reduce the qualitative and quantitative knowledge needed, particular considerations are given to the simplification of Bayesian networks structures and conditional probability expressions using rough sets and noisy-OR/MAX model, respectively. By adopting the simplified approach, symptoms under multiple-fault are decoupled into the ones under every single fault, while the quantity of the conditional probabilities is simplified into the linear form of the faults quantity. Prior knowledge needed in Bayesian network-based diagnostic model is reduced significantly, which decreases the complexity in establishing and applying this diagnosis model. The computational efficiency is improved accordingly in the simplified BN model, after eliminating the redundant symptoms. The fault isolation methodology is illustrated through an example of diesel engine fuel injection system to verify the developed model.

Optimization of Diesel Engine Fuel Injection System Parameters Based on Simulations

This paper simulated a six-cylinder diesel engine with 3d model, and optimized combustion and emission through modify project distance of injector and nozzle angle. Simulation result shows that appropriate project distance will enhance entraining power of vortices and reduce soot generation without increasing NOx generation; yet inappropriate nozzle angle will deteriorate combustion in either clearance volume or combustion chamber bowl. Variation in either project distance or nozzle angle has greater influence on soot generation than NOx generation, and both can be optimized to reduce soot emission without affect NOx emission significantly.

Lubricity characteristics of Jatropha curcas biodiesel

PurposeEngine component endurance is related to fuel properties. Decreasing the sulfur content of a fuel reduces its lubricity, thus damaging engines and fuel systems. Therefore, promoting the use of a biofuel must involve assessing the functionality and lubricity of the fuel.Design/methodology/approachThe ball-on-ring (BOR) wear tester was applied to determine the optimal additive concentration and the mechanism of reduction of the wear and friction of the diesel engine fuel injection system. The lubricating efficiency of the fuels was estimated by using a photomicroscope to measure the average diameter of the wear scar produced on the test ball. An optical microscope and scanning electronic microscope were used for wear surface examinations.FindingsThe wear test revealed that the wear diameter of the steel ball lubricated with either the pure petrodiesel or 20 Wt.per cent Jatropha curcas biodiesel blends was 1.36 or 1.05 mm, respectively. The experimental results indicated that when Jatropha curcas biodiesel was added into petrodiesels to reduce friction, the wear resistance of the fuel blends increased concurrently with increasing Jatropha curcas biodiesel concentration. This was attributed to the presence of stearic acid in Jatropha curcas biodiesel blends. Stearic acid has a strong affinity for metal surfaces; therefore, a chemical coating was formed between the two motion surfaces to protect the two contacted surfaces from wear. Therefore, the proposed Jatropha curcas biodiesel can be used to effectively enhance the lubricity of a petrodiesel under the condition of boundary lubrication.Originality/valueUsing biofuels as the fuels for diesel engines can assist developed and developing countries in reducing the impacts of their fossil fuel consumption on the environment.

The Research on Fault Diagnosis of Diesel Engine Based on EMD

In view of the superiority of support vector machine and the fault characteristic of diesel engine, a classify method for diesel engine fault based on support vector machine is presented in this paper. First the cylinder block vibration signal on different condition was measured by the simulation test of diesel engine fuel injection system fault, then the feature parameter was extracted by empirical mode decomposition and the most impactful parameter was selected to be the input of support vector machine. The result shows that this method has fine classified ability and precision.

PXI-Based High Performance Data Acquisition System for Fuel Injection System of Diesel Engine

High-performance data acquisition system is designed on the foundation of studying the working principle of diesel engine fuel injection system and analyzing the characteristics of fuel injection pressure waveform. The fuel injection pressure waveform can be accurately captured by the data acquisition system which based on embedded pressure sensors and NI PXI-6143 multifunction data acquisition card, and then the fuel injection opening pressure and the maximum injection pressure can be calculated. Fuel supply advance angle can be obtained by comparing the injection pressure waveform and the top dead center signal. The signal to noise ratio of the data acquisition system is very high, and the operating parameters of fuel supply system can be calculated without software filter. The fuel injection opening pressure, maximum injection pressure and fuel supply advance angle were obtained in situ test on 6L20/27 diesel. The operating parameters all coincide with the technology data sheet given by the factory.

Fuel Injection System Fault Diagnosis Based on Cylinder Head Vibration Signal

This work aims at monitoring diesel engine fuel injection system by analyzing the cylinder head variations. It focuses on dual-peak phenomenon in combustion stage signal of cylinder head vibration under certain work condition. The first peak of dual-peak is the vibratory response signal of fuel injector needle valve crash which is proved by the time domain analysis between cylinder head vibration and in-cylinder combustion pressure, analysis for cylinder head vibration of misfire and analysis of fuel feeding law change following engine rotational speed. The start time of the fuel injector needle valve crash vibratory response signal can describe the fuel injector needle valve closing timing. The acceleration peak of fuel injector needle valve crash vibratory response signal can describe crash strength. From the results under different work conditions and faulty conditions it is revealed that these characteristics can accurately describe injection information and can be used for fuel injection system fault diagnosis.

Hybrid modelling and control of the common rail injection system

We present an industrial case study in automotive control of significant complexity: the new common-rail fuel-injection system for Diesel engines under development at Magneti Marelli Powertrain. In this system, an inlet metering valve, inserted before the high pressure (HP) pump, regulates the fuel flow that supplies the common rail according to the engine operating point (e.g., engine speed and desired torque). The standard approach in automotive control based on a mean-value model for the plant does not provide a satisfactory solution as the discrete-continuous interactions in the fuel injection system, due to the slow time-varying frequency of the HP pump cycles and the fast sampling frequency of sensing and actuation, play a fundamental role. We present a design approach based on a hybrid model of the Magneti Marelli Powertrain common-rail fuel-injection system for four-cylinder multi-jet engines and a hybrid approach to the design of a rail pressure controller. The hybrid controller performs significantly better when compared with the classical mean-value based approach.

96/01892 A simulation analysis of a DI diesel engine fuel injection system fitted with a constant pressure valve

96/01892 A simulation analysis of a DI diesel engine fuel injection system fitted with a constant pressure valve

A simulation analysis of a DI diesel engine fuel injection system fitted with a constant pressure valve

In the present work, a theoretical and computational investigation is conducted to examine the performance of a fuel injection system fitted with a constant pressure valve, used to power a high speed direct injection (DI) diesel engine. The delivery valve (conventional layout) in the fuel injection system of diesel engines is used to provide a residual pressure in the fuel pipeline for the next injection. However, this layout often results in secondary injections which have a serious effect on engine performance. This problem is more severe in the cases of maintaining high residual pressure values. The use of a secondary valve placed inside the delivery valve, called the constant pressure valve, eliminates this problem by relieving the fuel pipe from the high pressure fluctuations caused by the pressure waves reflected at the injector end and the delivery valve chamber. A relevant experimental investigation is conducted with such a fuel injection system on a high speed direct injection diesel engine, examining the effect of load and speed on the performance of the fuel injection system. The experimental results compare well with the theoretical results obtained from a comprehensive simulation model developed by the present authors. Also, results are presented using the simulation model for the same fuel injection system without being fitted with the constant pressure valve, revealing the occurrence of secondary injections at a high engine speed. The simulation model offers very useful information concerning the design of such a fuel injection system and may be used during the development procedure providing economy in time and a better understanding of the entire injection process.

Numerical Analysis Versus Experimental Investigation of a Distributor-Type Diesel Fuel-Injection System

A production distributor-type fuel-injection system for diesel engines has been extensively investigated via computer-assisted simulation and experimentation. The investigation was mainly aimed at assessing and validating a sophisticated computational model of the system, developed with specific attention given to the pump and to some important aspects concerning the injection pressure simulation, such as the dynamic effects of the injector needle lift, the flow unsteadiness, and compressibility effects on the nozzle-hole discharge coefficient. The pump delivery assembly was provided with a valve of the reflux type. This presented a flat in the collar, forming a return-flow restriction with the seat, and had no retraction piston. A single-spring injector, with a reduced sac volume, was fitted to the system. The numerical analysis of transient flow phenomena linked to the mechanical unit dynamics, including possible cavitation occurrence in the system, was performed using an implicit finite-difference algorithm, previously set up for in-line injection equipment. Particular care was exercised in modeling the distributor pump so as to match the dynamics of the delivery-valve assembly to the pressure wave propagation in the distributor and its outlets. The so-called minor losses were also taken into account and it was ascertained that sudden expansion and contraction losses were significant for the type of pump examined. The experimental investigation was performed on a test bench at practical pump speeds. Pressures were measured in the pumping chamber, at two different pipe locations, and upstream to the needle seat opening passage. This last measurement was taken in order to evaluate the nozzle-hole flow coefficient with the support of the simulation, using experimental values of the needle lift, injection rate, and injected fuel quantity as known variables. The numerical and experimental results were compared and discussed, showing the validity of the model. The injection pressure time history and the influence of the delivery return-flow restriction on the system performance were numerically examined.

Dijagnosticiranje sustava za ubrizgavanje goriva Dieselovog motora na temelju teorije prepoznavanja uzoraka

The paper deals with a segment of research examining the possibility of application of the theory of recognizing samples as the core of a diagnosing model. System diagnosing is based upon the signals of operation process. Diagnosing rules are determined based upon the sample of diagnosing signals produced by different simulated aspects of system technical condition. The model has been verified in the process of Diesel engine fuel injection system diagnosing. The fuel injection pressure signal in front of the injector has been used as a diagnosing signal.

Closure to “Discussions of ‘Hydraulic Phenomena in Fuel-Injection Systems for Diesel Engines’” (1938, Trans. ASME, 60, pp. 605–606)

Closure to “Discussions of ‘Hydraulic Phenomena in Fuel-Injection Systems for Diesel Engines’” (1938, Trans. ASME, 60, pp. 605–606)