Готові списки джерел за темами / Injection system modeling

Добірка наукової літератури з теми "Injection system modeling"

Автор: Grafiati
Опубліковано: 24 вересня 2022
Оновлено: 28 вересня 2022

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  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "Injection system modeling":

1

Akram, Louiz. "Modeling of the Automatic Mechanical Injection System." Universal Journal of Mechanical Engineering 7, no. 6 (November 2019): 432–40. http://dx.doi.org/10.13189/ujme.2019.070614.

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2

Nagaraj, Nayak S., N. Kapilan, and Prabhu S. Sadashiva. "Modeling of Urea-Water Solution Injection Spray in SCR System." Applied Mechanics and Materials 232 (November 2012): 583–87. http://dx.doi.org/10.4028/www.scientific.net/amm.232.583.

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To control the emissions from the diesel engines of modern automobiles, it requires the development of adequate and advanced exhaust gas aftertreatment devices. Selective Catalytic Reduction (SCR) is a method that can be used in mobile diesel engine aftertreatment systems to reduce harmful NOx emissions. Due to the toxicity and handling problems of ammonia, currently injection of a liquid Urea-Water Solution (UWS) into the exhaust stream approach is used. The water evaporates and the urea undergoes thermal decomposition producing ammonia that reacts with the NOx in the exhaust gas inside a SCR catalyst to produce nitrogen and water vapor. This work presents the study of UWS injection spray using commercial available CFD code, Fire v8.3. The evaporation of water from a single droplet of UWS is investigated theoretically and droplets are treated with Lagrangian particle tracking. Simulation study at different exhaust gas temperatures and injector locations is carried out and compared with experimental values. Thus, the present study results predict the local distribution and the conversion of the reducing agent.
3

Guo, Shu Jun, Wen Lei Sun, Zong Bao Ping, and Hong Pan. "Development of Injection Mould Design System Based on UG." Advanced Materials Research 204-210 (February 2011): 259–62. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.259.

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The development process of specialization injection mould design system orienting the injection mould industry based on UG has been studied using related technologies of UG redevelopment for the market demand of more variety, more objective, high quality and short-term concerning the injection mould industry. This paper introduces the key technologies of system development, mainly including interface technologies of UG calls MFC dialog, technologies of parameter modeling and accessing to the database, then demonstrates the process of parameter modeling using this system with an example. The system helps the management for parts library and standard size parameters database of the injection mould, and can enhance the automation and intelligent process of injection mould design.
4

Wilson, Safwat A. "MODELING COMMON RAIL FUEL INJECTION SYSTEM IN DIESEL ENGINES." ERJ. Engineering Research Journal 38, no. 3 (July 1, 2015): 181–97. http://dx.doi.org/10.21608/erjm.2015.66809.

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5

Mejecaze, Guillaume, Laurine Curos, Tristan Dubois, Jean-Michel Vinassa, and Frederic Puybaret. "Modeling of a Current Injection System for Susceptibility Study." IEEE Transactions on Electromagnetic Compatibility 62, no. 6 (December 2020): 2737–46. http://dx.doi.org/10.1109/temc.2020.2986512.

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6

Wang, H. P., D. Zheng, and Y. Tian. "High pressure common rail injection system modeling and control." ISA Transactions 63 (July 2016): 265–73. http://dx.doi.org/10.1016/j.isatra.2016.03.002.

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7

Parsons, Michael G., and Richard W. Harkins. "Investigation of Fuel Injection System Cavitation Problems on the MV James R. Barker, MV Mesabi Miner, and MV William J. De Lancey." Marine Technology and SNAME News 22, no. 03 (July 1, 1985): 219–37. http://dx.doi.org/10.5957/mt1.1985.22.3.219.

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Cavitation erosion has long been recognized as a potential problem in the components and piping of diesel engine fuel injection systems. Specific cavitation erosion problems have been experienced recently in the fuel injection systems of the Colt-Pielstick PC2 engines of the Great Lakes bulk carriers MV James R. Barker, MV Mesabi Miner, and MV William J. De Lancey. Similar damage has been found in the injection systems of PC2 engines onboard other U.S.-flag vessels. The experience on the subject vessels and the efforts being taken to eliminate or minimize these problems are described. The modeling and methods used in a digital computer simulation of the fuel injection system on these vessels are presented. This simulation is being developed to study the effects of the delivery valve spring characteristics and performance, system pressures, and various system details and potential modifications on the overall performance of the fuel injection system. Special emphasis has been placed upon the factors which can be causing the cavitation damage within the high-pressure injection piping and injector bodies. Example simulation results are presented. The simulation will provide a practical and economical way to evaluate potential modifications.
8

Huang, Mingzhan, and Xinyu Song. "Modeling and qualitative analysis of diabetes therapies with state feedback control." International Journal of Biomathematics 07, no. 04 (June 25, 2014): 1450035. http://dx.doi.org/10.1142/s1793524514500351.

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For the therapies of diabetes mellitus, a novel mathematical model with two state impulses: impulsive injection of insulin and impulsive injection of glucagon, is proposed. To avoid hypoglycemia and hyperglycemia, the injections of insulin and glucagon are determined by closely monitoring the plasma glucose level of the patients. By using differential equation geometry theory, the existence of periodic solution and the attraction region of the system have been obtained, which ensures that injections in such an automated way can keep the blood glucose concentration under control. The simulation results verify that the better insulin injection strategy in closed-loop control is a larger dose but longer interval rather than a smaller dose but shorter interval. Besides, our numerical analysis reveals that medicine studies and practice that slow down the insulin degradation are helpful for the plasma glucose control. Our findings can provide significant guidance in both design of artificial pancreas and clinical treatment.
9

Lino, Paolo, and Guido Maione. "Accurate dynamic modeling of an electronically controlled CNG injection system." IFAC-PapersOnLine 49, no. 11 (2016): 490–96. http://dx.doi.org/10.1016/j.ifacol.2016.08.072.

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10

Alabastri, E., L. Magni, S. Ozioso, R. Scattolini, C. Siviero, and A. Zambelli. "Modeling, Analysis and Simulation of a Gasoline Direct Injection System." IFAC Proceedings Volumes 37, no. 22 (April 2004): 273–78. http://dx.doi.org/10.1016/s1474-6670(17)30356-7.

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Статті в журналах Дисертації

Дисертації з теми "Injection system modeling":

1

Chen, Chang-Chih. "System-level modeling and reliability analysis of microprocessor systems." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53033.

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Frontend and backend wearout mechanisms are major reliability concerns for modern microprocessors. In this research, a framework which contains modules for negative bias temperature instability (NBTI), positive bias temperature instability (PBTI), hot carrier injection (HCI), gate-oxide breakdown (GOBD), backend time-dependent dielectric breakdown (BTDDB), electromigration (EM), and stress-induced voiding (SIV) is proposed to analyze the impact of each wearout mechanism on state-of-art microprocessors and to accurately estimate microprocessor lifetimes due to each wearout mechanism. Taking into account the detailed thermal profiles, electrical stress profiles and a variety of use scenarios, composed of a fraction of time in operation, a fraction of time in standby, and a fraction of time when the system is off, this work provides insight into lifetime-limiting wearout mechanisms, along with the reliability-critical microprocessor functional units for a system. This enables circuit designers to know if their designs will achieve an adequate lifetime and further make any updates in the designs to enhance reliability prior to committing the designs to manufacture.
2

Cho, Kyungmin Jacob. "A Modeling and experimental study of the conversion of trona to increase its reactivity with so 2in dry injection system." Cincinnati, Ohio : University of Cincinnati, 2007. http://www.ohiolink.edu/etd/view.cgi?ucin.

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Thesis (Ph. D. )--University of Cincinnati, 2007.
Advisor: Dr. Tim C Keener. Title from electronic thesis title page (viewed Nov. 23, 2007). Includes abstract. Keywords: SO 2, trona, conversion, NaHCO 3, Na 2CO 3, Modeling, Kinetics Includes bibliographical references.
3

CHO, KYUNGMIN JACOB. "A MODELING AND EXPERIMENTAL STUDY OF THE CONVERSION OF TRONA TO INCREASE ITS REACTIVITY WITH SO 2IN DRY INJECTION SYSTEM." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185822434.

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4

Dulbecco, Alessio. "Modeling of Diesel HCCI combustion and its impact on pollutant emissions applied to global engine system simulation." Thesis, Toulouse, INPT, 2010. http://www.theses.fr/2010INPT0015/document.

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La législation sur les émissions de polluants des Moteurs à Combustion Interne (ICEs) est de plus en plus contraignante et représente un gros défi pour les constructeurs automobiles. De nouvelles stratégies de combustion telles que la Combustion à Allumage par Compression Homogène (HCCI) et l’exploitation de stratégies d’injections multiples sont des voies prometteuses qui permettent de respecter les normes sur les émissions de NOx et de suies, du fait que la combustion a lieu dans un mélange très dilué et par conséquent à basse température. Ces aspects demandent la création d’outils numériques adaptés à ces nouveaux défis. Cette thèse présente le développement d’un nouveau modèle 0D de combustion Diesel HCCI : le dual Combustion Model (dual - CM). Le modèle dual-CM a été basé sur l’approche PCM-FPI utilisée en Mécanique des Fluides Numérique (CFD) 3D, qui permet de prédire les caractéristiques de l’auto-allumage et du dégagement de chaleur de tous les modes de combustion Diesel. Afin d’adapter l’approche PCM-FPI à un formalisme 0D, il est fondamental de décrire précisément le mélange à l’intérieur du cylindre. Par consequent, des modèles d’évaporation du carburant liquide, de formation de la zone de mélange et de variance de la fraction de mélange, qui permettent d’avoir une description détaillée des proprietés thermochimiques locales du mélange y compris pour des configurations adoptant des stratégies d’injections multiples, sont proposés. Dans une première phase, les résultats du modèle ont été comparés aux résultats du modèle 3D. Ensuite, le modèle dual-CM a été validé sur une grande base de données expérimentales; compte tenu du bon accord avec l’expérience et du temps de calcul réduit, l’approche présentée s’est montrée prometteuse pour des applications de type simulation système. Pour conclure, les limites des hypothèses utilisées dans dual-CM ont été investiguées et des perspectives pour les dévélopements futurs ont été proposées
More and more stringent restrictions concerning the pollutant emissions of Internal Combustion Engines (ICEs) constitute a major challenge for the automotive industry. New combustion strategies such as Homogeneous Charge Compression Ignition (HCCI) and the implementation of complex injection strategies are promising solutions for achieving the imposed emission standards as they permit low NOx and soot emissions, via lean and highly diluted combustions, thus assuring low combustion temperatures. This requires the creation of numerical tools adapted to these new challenges. This Ph.D presents the development of a new 0D Diesel HCCI combustion model : the dual Combustion Model (dual−CM ). The dual-CM is based on the PCM-FPI approach used in 3D CFD, which allows to predict the characteristics of Auto-Ignition and Heat Release for all Diesel combustion modes. In order to adapt the PCM-FPI approach to a 0D formalism, a good description of the in-cylinder mixture is fundamental. Consequently, adapted models for liquid fuel evaporation, mixing zone formation and mixture fraction variance, which allow to have a detailed description of the local thermochemical properties of the mixture even in configurations adopting multiple injection strategies, are proposed. The results of the 0D model are compared in an initial step to the 3D CFD results. Then, the dual-CM is validated against a large experimental database; considering the good agreement with the experiments and low CPU costs, the presented approach is shown to be promising for global engine system simulations. Finally, the limits of the hypotheses made in the dual-CM are investigated and perspectives for future developments are proposed
5

Sonehag, Christian. "Modeling of Ion Injection in Oil-Pressboard Insulation Systems." Thesis, Uppsala universitet, Fasta tillståndets elektronik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-177600.

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To make a High Voltage Direct Current (HVDC) transmission more energy efficient, the voltage of the system has to be increased. To allow for that the components of the system must be constructed to handle the increases AC and DC stresses that this leads to. One key component in such a transmission is the HVDC converter transformer. The insulation system of the transformer usually consists of oil and oil-impregnated pressboard. Modeling of the electric DC field in the insulation system is currently done with the ion drift diffusion model, which takes into account the transport and generation of charges in the oil and the pressboard. The model is however lacking a description of how charges are being injected from the electrodes and the oil-pressboard interfaces. The task of this thesis work was to develop and implement a model for this which improves the result of the ion drift diffusion model. A theoretical study of ion injection was first carried out and proceeding from this, a model for the ion injection was formulated. By using experimental data from 5 different test geometries, the injection model could be validated and appropriate parameter values of the model could be determined. By using COMSOL Multiphysics®, the ion drift diffusion model with the injection model could be simulated for the different test geometries. The ion injection gave a substantial improvement of the ion drift diffusion model. The positive injection from electrodes into oil was found to be in the range 0.3-0.6 while the negative injection was 0.3 lower. Determination of the parameters for the injection from oil-pressboard interfaces proved to be difficult, but setting the parameters in the range 0.01-1 allowed for a good agreement with the experimental data. Here, a fit could be obtained for multiple assumptions about the set of active injection parameters. Finally it is recommended that the investigation of the ion injection continues in order to further improve the model and more accurately determine the parameters of it. Suggestions on how this work could be carried out are given in the end.
6

Källkvist, Kurt. "Fuel Pressure Modelling in a Common-Rail Direct Injection System." Thesis, Linköpings universitet, Fordonssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70264.

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The fuel pressure is one of the central control variables of a modern common-rail injection system. It influences the generation of nitrous oxide and particulate matter emissions, the brake specific fuel consumption of the engine and the power consumption of the fuel pump. Accurate control of the fuel pressure and reliable diagnostics of the fuel system are therefore crucial components of the engine management system. In order to develop for example control or diagnostics algorithms and aid in the understanding of how hardware changes affect the system, a simulation model of the system is desirable.  A Simulink model of the XPI (Xtra high Pressure Injection) system developed by Scania and Cummins is developed. Unlike the previous models of the system available, the new model is geared towards fast simulations by modelling only the mean flow and pressure characteristics of the system, instead of the momentary flow and pressure variations as the engine rotates. The model is built using a modular approach where each module represents a physical component of the system. The modules themselves are based to a large extent on the physical properties of the components involved, making the model of the system adaptable to different hardware configurations whilst also being easy to understand and modify.
Bränsletrycket är en av de centrala styrvariablerna i ett modernt common-rail insprutningssystem. Det påverkar utsläppen av kväveoxider och partiklar, motorns specifika bränsleförbrukning och bränslepumpens effektförbrukning. Nogrann reglering och tillförlitliga diagnoser av bränslesystemet är därför mycket viktiga funktioner i motorstyrsystemet. Som ett hjälpmedel vid utveckling av dessa algoritmer samt för att öka förståelsen för hur hårdvaruförändringar påverkar systemet är det önskvärt med en simuleringsmodel av bränslesystemet.  En Simulink modell av XPI (Xtra high Pressure Injection) systemet som utvecklats av Scania och Cummins har utvecklats. Till skillnad från de redan tillgängliga modellerna av systemet fokuserar denna modell på snabba simuleringsförlopp genom att enbart modellera medeltryck och medelflöden istället för de momentana trycken och flödena i systemet när motorn roterar. Modellen är uppbyggd av moduler som var och en representerar en fysisk komponent i systemet. Modulerna är mestadels uppbyggda kring de fysikaliska egenskaperna hos komponenten de försöker modellera vilket gör modellen av systemet anpassningsbar till olika hårdvarukonfigurationer och samtidigt lätt att förstå.
7

Alavian, Sayyed Ahmad. "Modeling CO2 Injection in Fractured Reservoirs Using Single Matrix Block Systems." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17374.

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In this thesis, CO2 injection in matrix/fracture systems has been studied using a finely-gridded compositional simulator representing a single matrix block. Three laboratory experiments were modeled to investigate whether CO2 injection in a fracture-matrix system could be simulated using commercial simulators that include basic fluid flow physics, phase behavior, and molecular diffusion. The first experiment was performed by Karimaie (2007) using an equilibrium, saturated gas-oil fluid system (C1-n-C7) at 220 bar and 85 oC. Because no recovery was expected from non-equilibrium thermodynamic mass transfer, reported recovery stemmed only from Darcy displacement driven by gravity and capillary forces. When the oil production stopped from the equilibrium gas displacement, a second injection period with pure CO2 followed. The numerical modeling was conducted using a compositional reservoir simulator (SENSOR) without diffusion. The 2-dimensional r-z model used fine grids for the core matrix and surrounding fracture. Automated history matching was used to determine parameters which were not accurately known (fracture permeability, fracture and matrix porosity, and separator conditions), using surface volumetric oil production rates reported experimentally. The final model match was relatively unique with a high degree of confidence in final model parameters. The oil recovery improved significantly with CO2 injection. Our model indicated that the recovery mechanism in the Karimaie experiment was dominated, for both equilibrium gas and CO2 injection, by top-to-bottom Darcy displacement caused by low conductivity in the artificial fracture; little impact of capillary-gravity displacement was found. Changes in CO2 injection rate had a significant impact on recovery performance. This experiment was also modeled using ECL300, with the same production performance as SENSOR for the set of history-match parameters determined without diffusion. When molecular diffusion was used in ECL300, results were nearly identical with those found without diffusion. Two other experiments were performed by Darvish (2007) at a higher temperature and pressure (130 oC and 300 bara) using a similar chalk and live reservoir oil. A similar modeling approach to that described above was also used for these experiments. In both experiments, the matching process based on reported oil production data gave a high degree of confidence in the model. The reported experimental mass fractions of produced-stream components were also matched well. Our modeling study indicates that gravity drainage affects the displacement process, but that mass transfer – including vaporization, condensation and molecular diffusion – also impact the recovery performance of CO2 injection in the Darvish experiments. The CO2 injection rate and initial water saturation were investigated by comparing the two Darvish experiments. Our studies from all of the Karimaie and Darvish experiments show a strong influence of the surface separator temperature on surface oil production, and this is an important consideration in designing and interpreting laboratory production data consistently. Once the laboratory recovery mechanisms had been successfully modeled, predictive numerical simulation studies were conducted on field-scale matrix/fractured systems, albeit mostly for single matrix blocks surrounded by a fracture. The effects of several key parameters on recovery production performance were studied in detail for field-scale systems: matrix permeability, matrix block size, matrix-matrix capillary continuity (stacked blocks), and the use of mixtures containing CO2 and hydrocarbon gas. The field-scale results were affected by gridding, so grid was refined to the degree necessary to achieve a more-or-less converged solution – i.e. recovery production performance didn’t change with further refinement. We studied the effect of molecular diffusion on oil recovery by CO2 injection in laboratory experiments and field-scale systems. Because the fluid systems considered had complex phase behavior and a wide range of conditions from strongly immiscible to near-miscible, the diffusion driving potential used was total component potential including chemical and gravity effects; concentrationdriven diffusion did not represent the more-complex non-equilibrium CO2 injection processes observed in the laboratory tests. A key result of this study was that diffusion can have an important effect on oil recovery, and that this effect varies with matrix block size and CO2 injection rate. We have shown that diffusion has a dominant effect on the recovery mechanism in experimental tests, except at very low rates of CO2 injection (and equilibrium hydrocarbon gas injection). For the field-scale matrix/fracture systems, diffusion can have a significant effect on the rate of recovery, with the effect becoming noticeable for low reservoir pressures and/or matrix block sizes less than ~40 ft.
8

Wang, Lei. "Modeling of the armature-rail interface in an electromagnetic launcher with lubricant injection." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26519.

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Thesis (Ph.D)--Mechanical Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Salant, Richard F.; Committee Member: Bair, Scott; Committee Member: Cowan, Richard S; Committee Member: Danyluk, Steven; Committee Member: Scott, Waymond R. Part of the SMARTech Electronic Thesis and Dissertation Collection.
9

Corbett, Kerry. "Modelling and experiments on the behaviour of injection current modulated multimode semiconductor lasers." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09PH/09phc7891.pdf.

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Bibliography: p. 215-231. This thesis investigates the behaviour of semiconductor lasers under large amplitude sinusoidal current modulations. It focuses directly on the behaviour of Faby-Perot lasers under direct modulation of the injection current.
10

Clark, Lee A. "Experimental studies and systems modelling to investigate the behaviour of direct injection diesel engines." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289480.

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Книги з теми "Injection system modeling":

1

Rosindale, Ian J. Modelling the thermal behaviour of the metal injection system in the hot chamber pressure die casting process. Manchester: UMIST, 1997.

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2

A Common Rail System For Gdi Engines Modelling And Control. Springer, 2012.

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Частини книг з теми "Injection system modeling":

1

Yu, Dengxiu, Gang Lu, Yong Zhou, Tao Zhang, and Dengfei Yu. "MATLAB Modeling and Analysis of the Electro-hydraulic Control System of Injection Molding Machine." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 641–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_69.

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2

Pyeon, Cheol Ho. "Neutron Spectrum." In Accelerator-Driven System at Kyoto University Critical Assembly, 125–56. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0344-0_5.

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AbstractThe subcritical multiplication factor is considered an important index for recognizing, in the core, the number of fission neutrons induced by an external neutron source. In this study, the influences of different external neutron sources on core characteristics are carefully monitored. Here, the high-energy neutrons generated by the neutron yield at the location of the target are attained by the injection of 100 MeV protons onto these targets. In actual ADS cores, liquid Pb–Bi has been selected as a material for the target that generates spallation neutrons and for the coolant in fast neutron spectrum cores. The neutron spectrum information is acquired by the foil activation method in the 235U-fueled and Pb–Bi-zoned fuel region of the core, modeling the Pb–Bi coolant core locally around the central region. The neutron spectrum is considered an important parameter for recognizing information on neutron energy at the target. Also, the neutron spectrum evaluated by reliable methodologies could contribute to the accurate prediction of reactor physics parameters in the core through numerical simulations of desired precision. In the present chapter, experimental analyses of high-energy neutrons over 20 MeV are conducted after adequate preparation of experimental settings.
3

Seo, Jaho, Amir Khajepour, and Jan P. Huissoon. "Thermal Dynamic Modeling and Control of Injection Moulding Process." In Autonomous and Intelligent Systems, 102–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21538-4_11.

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4

Rashid, Adnan, and Osman Hasan. "Formal Analysis of Robotic Cell Injection Systems Using Theorem Proving." In Cyber Physical Systems. Design, Modeling, and Evaluation, 127–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17910-6_10.

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5

Ftoutou, Ezzeddine, and Mnaouar Chouchane. "Injection Fault Detection of a Diesel Engine by Vibration Analysis." In Design and Modeling of Mechanical Systems—III, 11–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66697-6_2.

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6

Balluchi, Andrea, Antonio Bicchi, Emanuele Mazzi, Alberto L. Sangiovanni Vincentelli, and Gabriele Serra. "Hybrid Modelling and Control of the Common Rail Injection System." In Hybrid Systems: Computation and Control, 79–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11730637_9.

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7

Nageswari, S., and V. Suresh Kumar. "Common Mode Injection PWM Scheme with Equal Zero Vector Placement for Three Level NPC Inverter." In Recent Advancements in System Modelling Applications, 205–17. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1035-1_18.

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8

Sharma, Rajiv Kumar. "Integrating Reliability, Availability, and Maintainability Issues for Analyzing Failures in Fuel Injection Pump." In Reliability and Risk Modeling of Engineering Systems, 41–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70151-2_4.

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9

Daxberger, H., K. Rieger, and K. Schlacher. "On Modelling and Control of Compressible Non-Newtonian Injection Processes." In Computer Aided Systems Theory – EUROCAST 2011, 65–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27579-1_9.

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10

Rees, Andreas, and Michael Oschwald. "Experimental Investigation of Transient Injection Phenomena in Rocket Combusters at Vacuum with Cryogenic Flash Boiling." In Fluid Mechanics and Its Applications, 211–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09008-0_11.

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Анотація:
AbstractThe substitution of the toxic hydrazine in current high-altitude rocket engines like upper stages or reaction control thrusters by green propellants is a major key driver in the current technology development of rocket propulsion systems. Operating these kind of rocket engines at high-altitude leads to a sudden pressure drop in the liquid propellants during their injection into the combustion chamber with a near-vacuum atmosphere prior to ignition. The resulting superheated thermodynamic state of the liquid causes a fast and eruptive evaporation which is called flash boiling. The degree of atomisation is important for a successful ignition and a secure operation of the rocket engine. The development and operation of a cryogenic high-altitude test bench at DLR Lampoldshausen enables the systematical experimental characterization of cryogenic flash boiling due to its ability to adjust and control the injection parameters like temperature, pressure or geometry. Several test campaigns with liquid nitrogen (LN2) were performed using two optical diagnostic methods: First, flash boiling LN2 spray patterns were visualised by means of high-speed shadowgraphy and, secondly, we determined the droplet size and velocity distributions in strongly superheated LN2 sprays with the help of a laser-based Phase Doppler system (PDA). The experimental data generated within these measurement campaigns provide defined boundary conditions as well as a broad data base for the numerical modelling of cryogenic flash boiling like e.g. the publications [8, 9].

Тези доповідей конференцій з теми "Injection system modeling":

1

Yiming He and Xianyi Qian. "Notice of Retraction: Electric-control fuel injection system." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5622473.

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2

Sawut, Umerujan, Buso Takigawa, Gensaku Konagai, Hiraya Yasukawa, and Teruo Tsuji. "Modeling and Engine Speed Control of LPG Injection System." In SAE World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-1020.

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3

Song, Jianhao, Feng Gao, Qiu-an Huang, Yuezhi Liu, Longjie Zhang, and Yong Chen. "Modeling and Analysis of Water Injection Cooling Molding System." In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2021. http://dx.doi.org/10.1109/iecon48115.2021.9589368.

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4

Ren, Bin, Guoyu Wang, Donglin Su, Jiaqi Liu, Ke Jin, and Qin Ma. "Modeling of RF Injection Simulation System for Netted Radar." In 2022 International Seminar on Computer Science and Engineering Technology (SCSET). IEEE, 2022. http://dx.doi.org/10.1109/scset55041.2022.00094.

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5

Chai, Baoming, and Weijin Gao. "Simulation on Fuel Injection System for EUP Based on AMESim." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.465.

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6

Wu, Xinying, and Guangyao Ouyang. "The Structure Optimization of Diesel Injection Pump Based on DOE." In 2nd International Conference on Computer Application and System Modeling. Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/iccasm.2012.310.

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7

Baur, Remko, Jan Peter Blath, Christian Bohn, Franz Kallage, and Matthias Schultalbers. "Modeling and Identification of a Gasoline Common Rail Injection System." In SAE 2014 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2014. http://dx.doi.org/10.4271/2014-01-0196.

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8

Zhang, Chuanyu, Xiuli Wang, Ningyun Lu, and Bin Jiang. "Bond graph modeling and fault injection of CRH5 traction system." In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8408223.

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9

Mengmeng Liu, Zhanyong Ren, Dandan Liu, and Zhaoyang Zeng. "Methodology of modeling applied to fault injection based on EDA." In 2010 Prognostics and System Health Management Conference (PHM). IEEE, 2010. http://dx.doi.org/10.1109/phm.2010.5413436.

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10

Brandl, Alberto, Manuela Battipede, Piero Gili, and Angelo Lerro. "Sensitivity Analysis of a Neural Network based Avionic System by Simulated Fault and Noise Injection." In 2018 AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0122.

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Звіти організацій з теми "Injection system modeling":

1

Kavekar, Pratap C., and Dinesh B. Ghodeswar. 1-D Modeling and Experimental Evaluation of Secondary Air Injection System for a Small SI Engine. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-32-9091.

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2

Cotte, F. P., C. Doughty, and J. Birkholzer. Modeling Single Well Injection-Withdrawal (SWIW) Tests for Characterization of Complex Fracture-Matrix Systems. Office of Scientific and Technical Information (OSTI), November 2010. http://dx.doi.org/10.2172/1048281.

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