Journal articles: 'Diesel engine modeling'

1

Gustavsson, Jonas, and Valeri Golovitchev. "3 D Simulation of Multiple Injections in DI Diesel Engine(Diesel Engines, Combustion Modeling II)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 167–74. http://dx.doi.org/10.1299/jmsesdm.2004.6.167.

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Herman S., Alfred, and V. Ganesan. "Effect of Injection Rate Control in a HSDI Diesel Engine(Diesel Engines, Combustion Modeling II)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 189–98. http://dx.doi.org/10.1299/jmsesdm.2004.6.189.

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Shatrov, Mikhail G., Vladimir V. Sinyavski, Andrey Yu Dunin, Ivan G. Shishlov, and Andrey V. Vakulenko. "METHOD OF CONVERSION OF HIGH- AND MIDDLE-SPEED DIESEL ENGINES INTO GAS DIESEL ENGINES." Facta Universitatis, Series: Mechanical Engineering 15, no. 3 (December 9, 2017): 383. http://dx.doi.org/10.22190/fume171004023s.

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The paper aims at the development of fuel supply and electronic control systems for boosted high- and middle-speed transport engines. A detailed analysis of different ways of converting diesel engine to operate on natural gas was carried out. The gas diesel process with minimized ignition portion of diesel fuel injected by the Common Rail (CR) system was selected. Electronic engine control and modular gas feed systems which can be used both on high- and middle-speed gas diesel engines were developed. Also diesel CR fuel supply systems were developed in cooperation with the industrial partner, namely, those that can be mounted on middle-speed diesel and gas diesel engines. Electronic control and gas feed systems were perfected using modeling and engine tests. The high-speed diesel engine was converted into a gas diesel one. After perfection of the gas feed and electronic control systems, bench tests of the high-speed gas diesel engine were carried out showing a high share of diesel fuel substitution with gas, high fuel efficiency and significant decrease of NOх and СО2 emissions.

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Wang, Xian Cheng, Ruo Ting Li, Xing He, and Jun Biao Hu. "Modeling and Computational Analysis of Diesel Engine Working Process in Plateau Environment." Applied Mechanics and Materials 496-500 (January 2014): 804–7. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.804.

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Using simulation software, numerical simulation and plateau tests are combined to create the plateau diesel engine process simulation model. External characteristics tests of the diesel engine, plateau simulation experiments and plateau vehicle tests are combined to verify the model. The maximum deviation of the results is less 10%. The simulation model is accurate, which provides a way to study plateau environmental adaptation of diesel engines.

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Zhang, G. Q., and D. N. Assanis. "Manifold Gas Dynamics Modeling and Its Coupling With Single-Cylinder Engine Models Using Simulink." Journal of Engineering for Gas Turbines and Power 125, no. 2 (April 1, 2003): 563–71. http://dx.doi.org/10.1115/1.1560708.

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A flexible model for computing one-dimensional, unsteady manifold gas dynamics in single-cylinder spark-ignition and diesel engines has been developed. The numerical method applies an explicit, finite volume formulation and a shock-capturing total variation diminishing scheme. The numerical model has been validated against the method of characteristics for valve flows without combustion prior to coupling with combustion engine simulations. The coupling of the gas-dynamics model with single-cylinder, spark-ignition and diesel engine modules is accomplished using the graphical MATLAB-SIMULINK environment. Comparisons between predictions of the coupled model and measurements shows good agreement for both spark ignition and diesel engines. Parametric studies demonstrating the effect of varying the intake runner length on the volumetric efficiency of a diesel engine illustrate the model use.

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Zubkov, Evgenij Vitalevich, and Lenar Ajratovich Galiullin. "Modeling of the Diesel Engine Under Real Conditions of Driving." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 1365–70. http://dx.doi.org/10.5373/jardcs/v11sp12/20193355.

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Guo, Lei, Zai Zhong Wang, and Hong Zhao Lin. "Fuel Consumption Modeling for Medium Speed Marine Diesel Engine." Advanced Materials Research 1070-1072 (December 2014): 1785–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1785.

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To predict accurately the fuel consumption rate of a diesel engine, based on polynomial fitting curve method, combined with the test data of XCW6200ZC medium speed marine diesel engine used for inland ships, a diesel engine fuel consumption model about characteristic coefficient and speed under the propulsion characteristic was established. The marine diesel engine fuel consumption were calculated and predicted through this model. The results showed that the model can predict the fuel consumption of diesel engine well.

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Sakushima, Nobuyuki, Baumann Wolf, Ropke Karsten, and Knaak Mirko. "Transient Modeling of Diesel Engine Emissions." International Journal of Automotive Engineering 4, no. 3 (2013): 63–68. http://dx.doi.org/10.20485/jsaeijae.4.3_63.

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DOVIFAAZ, Xavier, Mustapha OULADSINE, Ahmed RACHID, and Gérard BLOCH. "NEURAL MODELING FOR DIESEL ENGINE CONTROL." IFAC Proceedings Volumes 35, no. 1 (2002): 343–48. http://dx.doi.org/10.3182/20020721-6-es-1901.01525.

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Jayamurugan, M., and S. Rajkumar. "Modeling the Spray Characteristics of Biodiesel." Applied Mechanics and Materials 813-814 (November 2015): 846–50. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.846.

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Biodiesel is considered as one most of the promising alternate fuels for the diesel engines without any major engine modifications due to its similar properties that of diesel. However, it is imperative to study the fuel spray behavior and its effective distribution inside the engine which affect combustion and emission characteristics. Hence, a model will be a useful tool in analyzing the spray characteristics of different biodiesel fuels. Therefore, in this paper a numerical modeling is pursued to analyse the spray characteristics namely spray penetration, spray angle, and atomization of biodiesel. This model is likely to be useful for biodiesel combustion modeling.

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Mansour, Cheikh, Abdelhamid Bounif, Abdelkader Aris, and Françoise Gaillard. "Gas–Diesel (dual-fuel) modeling in diesel engine environment." International Journal of Thermal Sciences 40, no. 4 (April 2001): 409–24. http://dx.doi.org/10.1016/s1290-0729(01)01223-6.

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Kao, Minghui, and John J. Moskwa. "Turbocharged Diesel Engine Modeling for Nonlinear Engine Control and State Estimation." Journal of Dynamic Systems, Measurement, and Control 117, no. 1 (March 1, 1995): 20–30. http://dx.doi.org/10.1115/1.2798519.

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Engine models that are used for nonlinear diesel engine control, state estimation, and model-based diagnostics are presented in this paper. By collecting, modifying, and adding to current available engine modeling techniques, two diesel engine models, a mean torque production model and a cylinder-by-cylinder model, are summarized for use in the formulation of control and state observation algorithms. In the cylinder-by-cylinder model, a time-varying crankshaft inertia model is added to a cylinder pressure generator to simulate engine speed variations due to discrete combustion events. Fuel injection timing and duration are control inputs while varying engine speed, cylinder pressure, and indicated torque are outputs from simulation. These diesel engine models can be used as engine simulators and to design diesel engine controllers and observers.

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Gao, Tian Hong. "Modeling of Diesel Engine Piston and Finite Element Mesh." Advanced Materials Research 971-973 (June 2014): 581–83. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.581.

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according to the heat load of diesel engine piston, to set up the finite element model and the corresponding thermal boundary conditions of 3D thermal models of the diesel engine piston, Through the finite element analysis , simulating the temperature field. Through the above finite element analysis,getting the temperature field of diesel engine piston, to build a theoretical basis for the development and design of other diesel engine piston.

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Dostiyarov, A. M., D. R. Umishev, G. B. Saduakasova, A. K. Mergalimova, and B. Ongar. "MODELING OF THE COMBUSTION PROCESS IN A DIESEL ENGINE." Series of Geology and Technical Sciences 2, no. 446 (April 15, 2021): 68–73. http://dx.doi.org/10.32014/2021.2518-170x.36.

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The issues of combustion processes and the organization of the combustion workflow in diesel engines are relevant in view of the tightening of economic and environmental requirements for them. The problem of saving liquid fuels remains one of the most acute in the provision of fuel and energy resources. The development of highly efficient methods for organizing work processes when burning natural gas in a compressed or cryogenic state in the cylinders of internal combustion piston engines and determining ways to further reduce toxic emissions, increase fuel efficiency and reliability in promising gas engines is an urgent task. Mathematical modeling of liquid fuel combustion is a complex task, since it requires taking into account a large number of complex interrelated processes and phenomena. The article presents a simple 3-D model of cylinder diesel tractor engine D 144, the re- sults of numerical simulation of combustion of liquid and gaseous fuel in the cylinder of the diesel engine D-144. The article presents the results of modeling, including graphs of the dependence of nitrogen oxides, particles in outgoing gases, depending on the consumption of gaseous fuel in the form of pure methane. Additionally, tempe- rature and velocity contours are shown. The corresponding conclusions are made.

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Cui, Zhen Min, and Ru Wang. "The Modeling and Simulation of Super-Capacitor in Diesel Engine Starting Process." Applied Mechanics and Materials 229-231 (November 2012): 1967–70. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1967.

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Diesel engine; Super-capacitor; Starter system; Modeling; Simulation Abstract. In order to improve the start-up performance of the diesel engine and the working conditions of batteries, make efficient use of the high instantaneous discharge power characteristics of the super-capacitor as a diesel engine start-up auxiliary power. Taking the YC6J180 types of Yuchai diesel engine as illustration, diesel engine starting process was modeled and simulated by Matlab/Simulink software, and compared with the simulation model of diesel engine starting system added the super-capacitor. The simulation results show that the diesel engine starter system added the super-capacitor as the auxiliary power, the starting performance is improved significantly, meanwhile improve the battery state, and extend its service life.

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Tian, Zhe, Xin Ping Yan, and Ye Ping Xiong. "Turbocharged Two-Stroke Diesel Engine of Large Vessels Modeling and Simulation." Applied Mechanics and Materials 235 (November 2012): 233–38. http://dx.doi.org/10.4028/www.scientific.net/amm.235.233.

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In this article, according to the work principle of turbocharged two-stroke diesel engine, the characteristic of volume method model is referenced to package the diesel engine and the packaged model is calculated. According to the Matlab/Simulink software platform, the model will be combined to form a full mean value engine model and join speed controller to control diesel engine speed. The variation of diesel engine’s various performance parameter and the dynamic characteristics based on the speed control law will be observed, which means reaching better purpose of using diesel engine. In the process of mean value engine model design, joining a scavenging coefficient and improving the excess air ratio will increase simulation precision. By means of the correlation analysis, the diesel engine models complying with the control requirements can be determined.

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Kong, S. C., and R. D. Reitz. "Multidimensional Modeling of Diesel Ignition and Combustion Using a Multistep Kinetics Model." Journal of Engineering for Gas Turbines and Power 115, no. 4 (October 1, 1993): 781–89. http://dx.doi.org/10.1115/1.2906775.

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Ignition and combustion mechanisms in diesel engines were studied using the KIVA code, with modifications to the combustion, heat transfer, crevice flow, and spray models. A laminar-and-turbulent characteristic-time combustion model that has been used successfully for spark-ignited engine studies was extended to allow predictions of ignition and combustion in diesel engines. A more accurate prediction of ignition delay was achieved by using a multistep chemical kinetics model. The Shell knock model was implemented for this purpose and was found to be capable of predicting successfully the autoignition of homogeneous mixtures in a rapid compression machine and diesel spray ignition under engine conditions. The physical significance of the model parameters is discussed and the sensitivity of results to the model constants is assessed. The ignition kinetics model was also applied to simulate the ignition process in a Cummins diesel engine. The post-ignition combustion was simulated using both a single-step Arrhenius kinetics model and also the characteristic-time model to account for the energy release during the mixing-controlled combustion phase. The present model differs from that used in earlier multidimensional computations of diesel ignition in that it also includes state-of-the-art turbulence and spray atomization models. In addition, in this study the model predictions are compared to engine data. It is found that good levels of agreement with the experimental data are obtained using the multistep chemical kinetics model for diesel ignition modeling. However, further study is needed of the effects of turbulent mixing on post-ignition combustion.

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Tanabe, Hideaki, and Satoshi Kato. "Numerical Study on In-Cylinder Flow Of an Impinging Diffusion Engine(Diesel Engines, Combustion Modeling I)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 159–66. http://dx.doi.org/10.1299/jmsesdm.2004.6.159.

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Milojević, Saša, and Radivoje Pešić. "Determination of Combustion Process Model Parameters in Diesel Engine with Variable Compression Ratio." Journal of Combustion 2018 (August 7, 2018): 1–11. http://dx.doi.org/10.1155/2018/5292837.

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Compression ratio has very important influence on fuel economy, emission, and other performances of internal combustion engines. Application of variable compression ratio in diesel engines has a number of benefits, such as limiting maximal in cylinder pressure and extended field of the optimal operating regime to the prime requirements: consumption, power, emission, noise, and multifuel capability. The manuscript presents also the patented mechanism for automatic change engine compression ratio with two-piece connecting rod. Beside experimental research, modeling of combustion process of diesel engine with direct injection has been performed. The basic problem, selection of the parameters in double Vibe function used for modeling the diesel engine combustion process, also performed for different compression ratio values. The optimal compression ratio value was defined regarding minimal fuel consumption and exhaust emission. For this purpose the test bench in the Laboratory for Engines of the Faculty of Engineering, University of Kragujevac, is brought into operation.

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Qian, Jing, Yakun Guo, Yidong Zou, and Shige Yu. "Hamiltonian Modeling and Structure Modified Control of Diesel Engine." Energies 14, no. 7 (April 5, 2021): 2011. http://dx.doi.org/10.3390/en14072011.

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A diesel engine is a typical dynamic system. In this paper, a dynamics method is proposed to establish the Hamiltonian model of the diesel engine, which solves the main difficulty of constructing a Hamiltonian function under the multi-field coupling condition. Furthermore, the control method of Hamiltonian model structure modification is introduced to study the control of a diesel engine. By means of the principle of energy-shaping and Hamiltonian model structure modification theories, the modified energy function is constructed, which is proved to be a quasi-Lyapunov function of the closed-loop system. Finally, the control laws are derived, and the simulations are carried out. The study reveals the dynamic mechanism of diesel engine operation and control and provides a new way to research the modeling and control of a diesel engine system.

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Gao, Guo Dong, Wen Xiao Zhang, Jiang Hua Sui, and Guang Yu Mu. "Research on Diesel Engine Fault Diagnosis Modeling Based on Elman Neural Network." Advanced Materials Research 361-363 (October 2011): 1506–9. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1506.

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In order to solve the fault diagnosis problem of diesel engine, Elman neural network (ENN) was applied to build a fault diagnosis model of diesel engine. The training algorithm is in introduced and at the same time, the process of diesel engine fault diagnosis is also expatiated. The diagnosis results indicate the reliability. So a contingent fault of diesel engine can be identified effectively.

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Lin Tay, Kun, Wenbin Yu, Feiyang Zhao, and Wenming Yang. "From fundamental study to practical application of kerosene in compression ignition engines: An experimental and modeling review." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 2-3 (April 8, 2019): 303–33. http://dx.doi.org/10.1177/0954407019841218.

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The use of kerosene in direct injection compression ignition engines is fundamentally due to the introduction of the Single Fuel Concept. As conventional direct injection compression ignition diesel engines are made specifically to use diesel fuel, the usage of kerosene will affect engine emissions and performance due to differences between the fuel properties of kerosene and diesel. As a result, in order for kerosene to be properly and efficiently used in diesel engines, it is needful for the scientific community to know the properties of kerosene, its autoignition and combustion characteristics, as well as its emissions formation behavior under diesel engine operating conditions. Moreover, it is desirable to know the progress made in the development of suitable kerosene surrogates for engine applications as it is a crucial step toward the development of reliable chemical reaction mechanisms for numerical simulations. Therefore, in this work, a comprehensive review is carried out systematically to better understand the characteristics and behavior of kerosene under direct injection compression ignition engine relevant conditions. In this review work, the fuel properties of kerosene are summarized and discussed. In addition, fundamental autoignition studies of kerosene in shock tube, rapid compression machine, fuel ignition tester, ignition quality tester, constant volume combustion chamber, and engine are compiled and evaluated. Furthermore, experimental studies of kerosene spray and combustion in constant volume combustion chambers are examined. Also, the experimental investigations of kerosene combustion and emissions in direct injection compression ignition engines are discussed. Moreover, the development of kerosene surrogates, their chemical reaction mechanisms, and the modeling of kerosene combustion in direct injection compression ignition engines are summarized and talked about. Finally, recommendations are also given to help researchers focus on the areas which are still severely lacking.

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Nugroho, Bagus Anang, Rizqon Fajar, and Ihwan Haryono. "PEMODELAN SIKLUS IN-CYLINDER MESIN DIESEL." Majalah Ilmiah Pengkajian Industri 12, no. 3 (December 19, 2018): 153–62. http://dx.doi.org/10.29122/mipi.v12i3.2743.

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An engine performance can be predicted through modeling and simulation programs. This paper describes the cycle modeling and breathing process of a four-stroke diesel engine. Calibration of the model parameters to eliminate prediction error. This calibration requires the definition of empirical correlation of two parameters namely mechanical delay and the injector nozzle discharge coefficient. Modeling validation is also given by presenting the result data and evaluating the output parameters of the engine. The result of the diesel engine in-cylinder model produces good predictions by applying a mechanical delay correlation for correction of injection time and correlation coefficient of discharge nozze injector. The parameters for correction of injection duration where the mean temperature and pressure conditions for the duration of the injection are used as input model ignition delay cylinder.Keywords: Modeling, Diesel Engine, Performance, Ignition Delay, EmissionsÂ

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Grahn, Markus, Krister Johansson, and Tomas McKelvey. "B-splines for Diesel Engine Emission Modeling." IFAC Proceedings Volumes 45, no. 30 (2012): 416–23. http://dx.doi.org/10.3182/20121023-3-fr-4025.00008.

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Chandekar, Gautam, and Sally Pardue. "Cavitation modeling and diesel engine cylinder liners." Journal of the Acoustical Society of America 114, no. 4 (October 2003): 2386. http://dx.doi.org/10.1121/1.4777775.

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Pesic, Radivoje, Aleksandar Davinic, Dragan Taranovic, Danijela Miloradovic, and Snezana Petkovic. "Experimental determination of double vibe function parameters in diesel engines with biodiesel." Thermal Science 14, suppl. (2010): 197–208. http://dx.doi.org/10.2298/tsci100505069p.

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A zero-dimensional, one zone model of engine cycle for steady-state regimes of engines and a simplified procedure for indicator diagrams analysis have been developed at the Laboratory for internal combustion engines, fuels and lubricants of the Faculty of Mechanical Engineering in Kragujevac. In addition to experimental research, thermodynamic modeling of working process of diesel engine with direct injection has been presented in this paper. The simplified procedure for indicator diagrams analysis has been applied, also. The basic problem, a selection of shape parameters of double Vibe function used for modeling the engine operation process, has been solved. The influence of biodiesel fuel and engine working regimes on the start of combustion, combustion duration and shape parameter of double Vibe was determined by a least square fit of experimental heat release curve.

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Barbieri, Frederico Augusto Alem, Ederson Claudio Andreatta, Celso Argachoy, and Hildebrando Brandao. "Decompression Engine Brake Modeling and Design for Diesel Engine Application." SAE International Journal of Engines 3, no. 2 (May 5, 2010): 92–102. http://dx.doi.org/10.4271/2010-01-1531.

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Zeng, Hong, Xiao Ling Zhao, and Jun Dong Zhang. "Modeling and Performance Analysis of Combined-Cycle Based Ship Power Plant." Applied Mechanics and Materials 44-47 (December 2010): 1240–45. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1240.

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For combined-cycle power plant performance analysis, a ship power plant mathematical model is developed, including diesel engine, controllable pitch propeller, exhaust gas boiler, turbine generator and shaft generator models. The simulation performance characteristic curves of diesel engine under various loads are given. Comparison of simulation results and experimental data shows the model can well predict the performance of diesel engine in various operating conditions. The specific fuel oil consumption contours of combined-cycle power plant and the relations between engine operating conditions and steam cycle parameters are given. The influence of diesel engine operating conditions to the overall performance of combined-cycle power plant is discussed.

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Ivanov, Alexander, Vladimir Konovalov, Vladimir Lyandenbursky, Yuri Rodionov, and Yuri Zakharov. "Diesel engine diagnostic training program." E3S Web of Conferences 164 (2020): 12009. http://dx.doi.org/10.1051/e3sconf/202016412009.

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To optimize the learning process of working methods and the study of diagnostic equipment, it is advisable to use virtual simulators that simulate the process. The created virtual model vKAD-400 reproduces almost all the actions performed by the master diagnostician in determining the technical condition of a diesel engine. In the process of modeling using the editor, the algorithm of the "Diesel-Diagnostics" program was developed using the method of digitizing existing waveforms. Using the computer program "Diesel-Diagnostics" will reduce the cost of training students and technical personnel.

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黄, 林. "Modeling and Simulation of Marine Diesel Engine Based on Modelica." Modeling and Simulation 05, no. 04 (2016): 131–42. http://dx.doi.org/10.12677/mos.2016.54018.

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Gots, Alexander, Vladimir Klevtsov, and Alexander Lyukhter. "Modeling of power and torque curves of a diesel at the design stage." E3S Web of Conferences 126 (2019): 00052. http://dx.doi.org/10.1051/e3sconf/201912600052.

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An external speed characteristics outlines the upper limit of the field of possible operating conditions of the engine. With its help, therefore, it is possible to judge the extreme values of the indicators and parameters of the engine when it is running at a specific speed of the crankshaft. It is at theexternal speed characteristics of the engine parts are subjected to the greatest mechanical and thermalloads, the maximum is also the smoke of the exhaust gases of diesel engines. This indicates the particular importance of techniques that allow to determine the performance of the engine in the modes of external speed characteristics. Get external speed characteristics when testing the engine on the test bench. However, this possibility is not always available, especially it is not at the design stage. When calculating the cycle, the engine performance is obtained in two modes – rated power and maximum torque. Therefore, the external speed characteristics, built by calculation is important at the stage of justification of the main indicators and parameters of the designed engine.

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Barelli, Linda, Gianni Bidini, Federico Gallorini, Francesco Iantorno, Nicola Pane, Panfilo Ottaviano, and Lorenzo Trombetti. "Dynamic Modeling of a Hybrid Propulsion System for Tourist Boat." Energies 11, no. 10 (September 28, 2018): 2592. http://dx.doi.org/10.3390/en11102592.

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Interest in designing more efficient and versatile ships comes from increasingly stringent regulations on emissions. In this context, a possible solution to overcome these limits may be the replacement of marine propulsion systems based on diesel engines with hybrid architectures. This paper provides a dynamic analysis of a hybrid marine propulsion system (HPS) consisting of an internal combustion engine and an electric engine coupled with a battery pack. A dynamic simulation of a daily working cycle was carried out based on a real load demand. The instantaneous behavior of each component was evaluated. A brief summary of the HPS performance, varying the battery pack capacity, was provided together with an estimation of its impact on the system efficiency. Referring to this last point, the adoption of a hybrid system has permitted a decrease in the specific consumption, on a given route, of about 2% with respect to the case where the propulsion is entrusted only to the diesel engine.

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Xu, Cang Su, Yang Xie, Dong Hua Fang, and Yi Fan Xu. "Diesel Engine Spray Modeling with Lattice Boltzmann Method." Advanced Materials Research 779-780 (September 2013): 996–1006. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.996.

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In this paper we propose a novel Lattice Boltzmann method (LBM) incorporated with Large Eddy Simulation (LES) to simulate diesel engine spray process. The proposed LB-LES method combines several advantages of LBM and LES including clear physical pictures, easy implementation and capacity to describe turbulence structures of high Renolds fluid, it also can settle the problem that LBM cant converge of high Renolds. Simulation result shows: (1) Strong vortex exist around the spray cone and head of the spray; (2) A high fuel density regime exits inside the head of spray, that verifies the experiment result of American APS laboratory with the application of avalanche photodiode (APD) X-ray imaging technology to spray field; (3) LB-LES method can simulate the surface undulation phenomenon of spray which is generated by the aerodynamic force in the case of high Renolds.

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Марченко, А. П., І. В. Парсаданов, and А. В. Савченко. "MODELING OF IGNITION DELAY PERIOD IN DIESEL ENGINE." Internal Combustion Engines, no. 1 (September 24, 2019): 34–38. http://dx.doi.org/10.20998/0419-8719.2019.1.06.

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Chauvin, J., A. Albrecht, G. Corde, and N. Petit. "MODELING AND CONTROL OF A DIESEL HCCI ENGINE." IFAC Proceedings Volumes 40, no. 10 (2007): 471–78. http://dx.doi.org/10.3182/20070820-3-us-2918.00064.

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SK, Khasim Sharif, D. Jagadish, K. Phaneendra Kumar, and K. Rakesh. "Diesel Particulate Filter Modeling For Compression Ignition Engine." IOSR Journal of Mechanical and Civil Engineering 16, no. 053 (December 2016): 51–56. http://dx.doi.org/10.9790/1684-16053035156.

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Soldati, Alfredo, Marina Campolo, and Fabio Sbrizzai. "Modeling nano-particle deposition in diesel engine filters." Chemical Engineering Science 65, no. 24 (December 2010): 6443–51. http://dx.doi.org/10.1016/j.ces.2010.09.030.

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Pasternak, Michal, Fabian Mauss, Christian Klauer, and Andrea Matrisciano. "Diesel engine performance mapping using a parametrized mixing time model." International Journal of Engine Research 19, no. 2 (July 17, 2017): 202–13. http://dx.doi.org/10.1177/1468087417718115.

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A numerical platform is presented for diesel engine performance mapping. The platform employs a zero-dimensional stochastic reactor model for the simulation of engine in-cylinder processes. n-Heptane is used as diesel surrogate for the modeling of fuel oxidation and emission formation. The overall simulation process is carried out in an automated manner using a genetic algorithm. The probability density function formulation of the stochastic reactor model enables an insight into the locality of turbulence–chemistry interactions that characterize the combustion process in diesel engines. The interactions are accounted for by the modeling of representative mixing time. The mixing time is parametrized with known engine operating parameters such as load, speed and fuel injection strategy. The detailed chemistry consideration and mixing time parametrization enable the extrapolation of engine performance parameters beyond the operating points used for model training. The results show that the model responds correctly to the changes of engine control parameters such as fuel injection timing and exhaust gas recirculation rate. It is demonstrated that the method developed can be applied to the prediction of engine load–speed maps for exhaust NOx, indicated mean effective pressure and fuel consumption. The maps can be derived from the limited experimental data available for model calibration. Significant speedup of the simulations process can be achieved using tabulated chemistry. Overall, the method presented can be considered as a bridge between the experimental works and the development of mean value engine models for engine control applications.

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Jung, Dohoy, and Dennis N. Assanis. "Quasidimensional Modeling of Direct Injection Diesel Engine Nitric Oxide, Soot, and Unburned Hydrocarbon Emissions." Journal of Engineering for Gas Turbines and Power 128, no. 2 (June 20, 2005): 388–96. http://dx.doi.org/10.1115/1.2056027.

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In this study we report the development and validation of phenomenological models for predicting direct injection (DI) diesel engine emissions, including nitric oxide (NO), soot, and unburned hydrocarbons (HC), using a full engine cycle simulation. The cycle simulation developed earlier by the authors (D. Jung and D. N. Assanis, 2001, SAE Transactions: Journal of Engines, 2001-01-1246) features a quasidimensional, multizone, spray combustion model to account for transient spray evolution, fuel–air mixing, ignition and combustion. The Zeldovich mechanism is used for predicting NO emissions. Soot formation and oxidation is calculated with a semiempirical, two-rate equation model. Unburned HC emissions models account for three major HC sources in DI diesel engines: (1) leaned-out fuel during the ignition delay, (2) fuel yielded by the sac volume and nozzle hole, and (3) overpenetrated fuel. The emissions models have been validated against experimental data obtained from representative heavy-duty DI diesel engines. It is shown that the models can predict the emissions with reasonable accuracy. Following validation, the usefulness of the cycle simulation as a practical design tool is demonstrated with a case study of the effect of the discharge coefficient of the injector nozzle on pollutant emissions.

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Xing, Hui, Lei Guo, and Ji Wu. "Multi-Field Coupling Modeling and Analysis for Cylinder Liner of Slow Speed Two Stroke Marine Diesel Engine." Advanced Materials Research 1070-1072 (December 2014): 1856–60. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1856.

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To predict accurately the stress and deformation of combustion chamber components of large slow speed two stroke marine diesel engines, based on AVL Fire and ANSYS Workbench software, multi-field coupling modeling and analysis technology was employed to carry out the strength analysis for combustion chamber components of crosshead type marine diesel engine. The boundary conditions, i.e., the temperature field distribution, the mean temperature and the mean heat transfer coefficient are obtained firstly. Then the strength analysis for cylinder liner of crosshead type marine diesel engine under the thermal loads, mechanical loads and thermal mechanical coupled loads was conducted. The results show that the strength meets the design requirement and the stress concentration and the deformation of the cylinder liner were mainly dependent on the thermal load.

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Perakis, Anastassios N., and Bahadir Inozu. "Reliability Analysis of Great Lakes Marine Diesels: State of the Art and Current Modeling." Marine Technology and SNAME News 27, no. 04 (July 1, 1990): 237–49. http://dx.doi.org/10.5957/mt1.1990.27.4.237.

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Some essential steps for the application of reliability, availability, and maintainability (RAM) techniques to marine diesel engines are presented. The paper begins with a summary of the basic concepts of reliability engineering, followed by a survey of the relevant literature on RAM applications to the marine industry and to marine diesel engines in particular. Next, the results of an informal survey of the reliability, maintenance, and replacement practices of Great Lakes operators are presented. Finally, the first two steps for a RAM application, failure modes and effects analysis and fault tree analysis, are introduced and applied for a prototype Colt-Pielstick marine diesel engine.

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Millo, Federico, Andrea Piano, Benedetta Peiretti Paradisi, Mario Rocco Marzano, Andrea Bianco, and Francesco C. Pesce. "Development and Assessment of an Integrated 1D-3D CFD Codes Coupling Methodology for Diesel Engine Combustion Simulation and Optimization." Energies 13, no. 7 (April 1, 2020): 1612. http://dx.doi.org/10.3390/en13071612.

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In this paper, an integrated and automated methodology for the coupling between 1D- and 3D-CFD simulation codes is presented, which has been developed to support the design and calibration of new diesel engines. The aim of the proposed methodology is to couple 1D engine models, which may be available in the early stage engine development phases, with 3D predictive combustion simulations, in order to obtain reliable estimates of engine performance and emissions for newly designed automotive diesel engines. The coupling procedure features simulations performed in 1D-CFD by means of GT-SUITE and in 3D-CFD by means of Converge, executed within a specifically designed calculation methodology. An assessment of the coupling procedure has been performed by comparing its results with experimental data acquired on an automotive diesel engine, considering different working points, including both part load and full load conditions. Different multiple injection schedules have been evaluated for part-load operation, including pre and post injections. The proposed methodology, featuring detailed 3D chemistry modeling, was proven to be capable assessing pollutant formation properly, specifically to estimate NOx concentrations. Soot formation trends were also well-matched for most of the explored working points. The proposed procedure can therefore be considered as a suitable methodology to support the design and calibration of new diesel engines, due to its ability to provide reliable engine performance and emissions estimations from the early stage of a new engine development.

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Dai, Tengfei, Xia Jin, Huaze Yang, Tianran Lin, and Yuantong Gu. "Smoothed Finite Element Methods for Predicting the Mid to High Frequency Acoustic Response in the Cylinder-Head Chamber of a Diesel Engine." International Journal of Computational Methods 17, no. 09 (July 25, 2019): 1950060. http://dx.doi.org/10.1142/s0219876219500609.

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Modeling and simulation of the acoustic response in enclosed cavities of a diesel engine are of great significance for optimal design of an engine to achieve a better acoustic performance. Nevertheless, the use of the traditional finite element method (FEM) for the mid to high frequency acoustic prediction is limited by the well-known numerical dispersion errors and the tedious preprocessing of the model. Smoothed finite element methods (SFEMs) proposed originally for solid mechanics have been employed for the modeling of acoustic problems in the low to medium frequency ranges whilst acoustic modeling in the mid to high frequency range remains untouched. This paper comprehensively investigates into the performance of SFEMs in modeling and simulation of mid to high frequency acoustic problems. It is shown that the mass-redistributed edge-based smoothed finite element method (MR-ES-FEM) can yield an excellent prediction result in the mid to high frequency range in terms of accuracy, efficiency and robustness. The MR-ES-FEM is also used to simulate sound propagation in a cylinder head chamber of a four-cylinder diesel engine to prove its effectiveness. The findings presented in this paper offer an in-depth insight for engineers to select suitable numerical methods for solving mid to high frequency acoustic problems in the design of diesel engines.

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Pontikakis, George, and Anastassios Stamatelos. "Three-Dimensional Catalytic Regeneration Modeling of SiC Diesel Particulate Filters." Journal of Engineering for Gas Turbines and Power 128, no. 2 (August 15, 2005): 421–33. http://dx.doi.org/10.1115/1.2130732.

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Increasingly stringent diesel particulate emissions standards have reestablished international interest in diesel filters, whose first series application dates back to 1985. Modern diesel engine technology, with computerized engine management systems and advanced, common rail injection systems, needs to be fully exploited to support efficient and durable diesel filter systems with catalytic aids, as standard equipment in passenger cars. Efficient system and components’ optimization requires the use of mathematical models of diesel filter performance. The three-dimensional model for the regeneration of the diesel particulate filter presented in this paper has been developed as an engineering tool for the detailed design optimization of SiC diesel filters of modular structure. The 3-D modeling is achieved by interfacing an existing 1-D model to commercial finite element method software for the computation of the 3-D temperature field within the whole filter assembly, including the adhesive of the filter blocks, the insulation mat, and the metal canning. The 3-D model is applied to real-world component optimization studies of diesel filter systems.

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Yue, Zongyu, and Rolf D. Reitz. "An equilibrium phase spray model for high-pressure fuel injection and engine combustion simulations." International Journal of Engine Research 20, no. 2 (December 6, 2017): 203–15. http://dx.doi.org/10.1177/1468087417744144.

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High-pressure fuel injection impacts mixture preparation, ignition and combustion in engines and other applications. Experimental studies have revealed the mixing-controlled and local phase equilibrium characteristics of liquid vaporization in high injection pressure diesel engine sprays. However, most computational fluid dynamics models for engine simulations spend much effort in solving for non-equilibrium spray processes. In this study, an equilibrium phase spray model is explored. The model is developed based on jet theory and a phase equilibrium assumption, without modeling drop breakup, collision and finite-rate interfacial vaporization processes. The proposed equilibrium phase spray model is validated extensively against experimental data in simulations of the engine combustion network Spray A and in an optical diesel engine. Predictions of liquid/vapor penetration, fuel mass fraction distribution, heat release rate and emission formation are all in good agreement with experimental data. In addition, good computational efficiency and grid-independency are also seen with the present equilibrium phase model. The examined operating conditions cover wide ranges that are relevant to internal combustion engines, which include ambient temperatures from 700 to 1400 K, ambient densities from 7.6 to 22.8 kg/m3 and injection pressures from 1200 to 1500 bar for diesel sprays.

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Ye, Zheng Mao, and Habib Mohamadian. "Simple Engine Exhaust Temperature Modeling and System Identification Based on Markov Chain Monte Carlo." Applied Mechanics and Materials 598 (July 2014): 224–28. http://dx.doi.org/10.4028/www.scientific.net/amm.598.224.

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Even though actual composition of engine exhaust gases varies across diverse types of engines, such as gasoline, diesel, gas turbine and natural gas engines, engine exhaust temperature is always a major factor with strong impact on emission levels and catalytic converting efficiency. For spark ignition engines, exhaust temperature depends on various engine parameters, such as engine speed, engine load, A/F ratio, intake air temperature, coolant temperature and spark timing, etc. Due to complexity, it is impossible to share a unique analytical model of engine exhaust temperature. Instead, it is mostly modeled as a complicated nonlinear system. The model complexity increases significantly however accuracy cannot be guaranteed. On the other hand, a simple linear model with accurate system identification could serve as a versatile alternative to represent the engine exhaust temperature, while engine parameters are subject to model identification to be adaptable across different types of engines. Combination of linear functions in terms of dominant engine parameters of engine speed and engine load is used for exhaust temperature modeling. To identify optimal parameters, Markov Chain Monte Carlo (MCMC) is applied. The discrete-time Markov chain is introduced where the stationary probability replaces posterior density in Monte Carlo integration for numerical integration. Compared with the high order nonlinear approaches, low computation cost is involved in the simplified model. Good agreement between the model prediction data and testing results is observed. The approach could be easily extended to other types of engines.

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Kon’kov, A. Yu, and I. D. Kon’kova. "New method for control of fuel injection initiation and fuel combustion in diesel locomotive engines." Vestnik of the Railway Research Institute 78, no. 4 (November 25, 2019): 233–40. http://dx.doi.org/10.21780/2223-9731-2019-78-4-233-240.

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Adequate regulation of diesel engine fuel equipment is an important factor affecting the economic and ecological indicators of diesel engine and its reliability. The fuel injection advance angle deviates from the best value during operation for several reasons, requiring timely control and regulation of the parameter. This issue is crucial for diesel engines with individual high-pressure pumps like the diesel locomotive engines. This study presents a new method for indirect determination of the fuel injection advance angle based on analysis of the pressure fi rst-order derivative signal — pressure change rate. This method eliminates the need for additional measurements like the crankshaft rotation angle or piston position, and therefore, exhibits potential for the development of easy and reliable devices for online diagnostics. The study also briefl y analyzes control methods for the fuel injection advance angle used in operating diesel-electric locomotives in Russia. The results of theoretical research performed through mathematical modeling for the locomotive diesel engine 1А-5D49 is also examined. A dimensionless criterion is proposed based on results calculated from the experiment, which is determined by the value of the pressure change rate signal at representative points allowing calculation of the fuel injection advance angle using simple linear dependence. Verifi cation of the proposed method demonstrates good agreement of the results with existing methods.

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Lalić, Branko, Andrijana Poljak, Gojmir Radica, and Antonija Mišura. "Low-Speed Marine Diesel Engine Modeling for NOx Prediction in Exhaust Gases." Energies 14, no. 15 (July 23, 2021): 4442. http://dx.doi.org/10.3390/en14154442.

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Knowing the process of generating exhaust emissions and the determination of influential parameters are important factors in improving two-stroke slow-speed marine engines, particularly for further reductions in fuel consumption and stringent regulations on the limitation of nitrogen oxide emissions. In this article, a model of a marine low-speed two-stroke diesel engine has been developed. Experimental and numerical analyses of the nitrogen monoxide formations were carried out. When measuring the concentration of nitrogen oxides in the exhaust emissions, the amount of nitrogen dioxide (NO2) is usually measured, because nitrogen monoxide is very unstable, and due to the large amount of oxygen in the exhaust gases, it is rapidly converted into nitrogen dioxide and its amount is included in the total emission of nitrogen oxides. In this paper, the most significant parameters for the formation of nitrogen monoxide have been determined. Model validation was performed based on measured combustion pressures, engine power, and concentrations of nitrogen oxides at 50% and 75% of maximum continuous engine load. The possibilities of fuel consumption optimization and reduction in nitrogen monoxide emissions by correcting the injection timing and changing the compression ratio were examined. An engine model was developed, based on measured combustion pressures and scavenging air flow, to be used on board by marine engineers for rapid analyses and determining changes in the concentration of nitrogen oxides in exhaust emissions. The amount of nitrogen oxide in exhaust emissions is influenced by the relevant features described in this paper: fuel injection timing and engine compression ratio. The presented methodology provides a basis for further research about the simultaneous impact of changing the injection timing and compression ratio, exhaust valve opening and closing times, as well as the impact of multiple fuel injection to reduce consumption and maintain exhaust emissions within the permissible limits.

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Dawwa, Mahran, and Iulia Luninita Baboiu. "Simulation and Modeling of Compression Stroke in Diesel Engines." Applied Mechanics and Materials 823 (January 2016): 309–14. http://dx.doi.org/10.4028/www.scientific.net/amm.823.309.

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The objective of this study is to simulate the compression stroke in diesel engines by using computational fluid dynamics (CFD), and to model the compression stroke by using thermodynamic equations for Ideal gases and polynomial function that fits thermodynamic data of JANAF tables. The most important parameters to be simulated and modeled during the compression stroke are temperature and pressure of cylinder gases because of their important effects on mixture formation inside the engine combustion chamber. The simulation part will be performed using ANSYS ICE software. The modeling part will be performed using a MATLAB program composed by the corresponding author. Simulation and modeling process will be carried out between the intake valve close (IVC) and top dead center (TDC), the results of simulation and modeling will be compared and discussed.

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Hiroyasu, Hiroi. "Phenomenological Modeling of Diesel Combustion -Virtual Engine Design Engineering." Journal of The Japan Institute of Marine Engineering 44, no. 3 (2009): 370–74. http://dx.doi.org/10.5988/jime.44.370.

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Journal articles on the topic 'Diesel engine modeling'

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