Numerical analysis of the
fuel spray packages penetration and gas inflow
from quasi-dimensional di
diesel engine numerical model

Mrzljak, Vedran; Žarković, Božica

doi:10.31784/zvr.7.1.11

Cited by 4 publications

(5 citation statements)

References 27 publications

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“…However, there are a few papers that investigated the propulsion plant topics, i.e. gas turbines [30][31][32][33][34][35] and diesel engines [36][37][38][39][40][41][42][43]. The mechanics, hydraulic systems, and acting loads of propeller pitch change mechanisms have been investigated in [44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm

et al. 2020

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In this paper, the publicly available dataset of condition based maintenance of combined diesel-electric and gas (CODLAG) propulsion system for ships has been utilized to obtain symbolic expressions which could estimate gas turbine shaft torque and fuel flow using genetic programming (GP) algorithm. The entire dataset consists of 11934 samples that was divided into training and testing portions of dataset in an 80:20 ratio. The training dataset used to train the GP algorithm to obtain symbolic expressions for gas turbine shaft torque and fuel flow estimation consisted of 9548 samples. The best symbolic expressions obtained for gas turbine shaft torque and fuel flow estimation were obtained based on their R2 score generated as a result of the application of the testing portion of the dataset on the aforementioned symbolic expressions. The testing portion of the dataset consisted of 2386 samples. The three best symbolic expressions obtained for gas turbine shaft torque estimation generated R2 scores of 0.999201, 0.999296, and 0.999374, respectively. The three best symbolic expressions obtained for fuel flow estimation generated R2 scores of 0.995495, 0.996465, and 0.996487, respectively.

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Section: Introductionmentioning

confidence: 99%

Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm

et al. 2020

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“…. (14) while energy efficiency of the whole main marine steam turbine in this energy analysis method is defined by an equation:…”

Section: Methods 1 (M1)mentioning

confidence: 99%

“…The most common arrangement is that for the propulsion are used slow speed two-stroke diesel engines [1][2][3][4][5][6], while medium or fast speed four-stroke diesel engines are used as an auxiliary engines (mostly for the electrical generator drive) [7][8][9][10]. Due to its dominant presence in marine propulsion systems, various researchers are developing numerical models which simulate operating parameters of diesel engines [11][12][13][14] and improve their operation [15,16]. Reducing of harmful environmental emissions from diesel engine combustion gasses is nowadays one of the most important research topics, therefore various authors presented systems and techniques which reduces (at least partially) harmful emissions from the diesel engines [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Exergy and Various Energy Analysis Methods for a Main Marine Steam Turbine at Different Loads

Anđelić

Mrzljak

Lorencin

et al. 2020

JMTS

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This paper present energy and exergy analysis of the main marine steam turbine, which is used for the commercial LNG (Liquefied Natural Gas) carrier propulsion, at four different loads. Energy analysis is performed by using four different methods. The presented analysis allows distinguishing advantages and disadvantages of all observed energy analysis methods and its comparison to exergy analysis of the same steam turbine. Each analysis is based on the measurement results obtained in main turbine exploitation conditions. Main turbine is composed of two cylinders – High Pressure Cylinder (HPC) and Low Pressure Cylinder (LPC). At low turbine loads, the dominant power producer is HPC, while at middle and high loads the dominant power producer is LPC. Energy analysis Method 1 which is based on the same principles as exergy analysis, should be avoided if the majority of turbine losses are not known. Other observed energy analysis methods can be applied in the analysis of any steam turbine, with a note that increase in ideal (isentropic) steam expansion process divisions will result with an increase in energy losses and with a decrease in energy efficiency. Energy analysis Method 2 which consist of only one ideal (isentropic) steam expansion process, for the whole turbine and at all observed loads, results with the lowest energy losses (in the range between 639.98 kW and 6434.17 kW) as well as with the highest energy efficiency (in a range between 53.70% and 79.40%) in comparison to other applicable energy analysis methods. For the observed loads, whole main turbine exergy destruction is in range from 608.64 kW to 5922.86 kW, while the exergy efficiency range of the whole turbine is between 54.94% and 80.73%. Exergy analysis and all three applicable energy analysis methods show that increase in the main turbine load results with simultaneous increase in turbine losses and efficiencies (both energy and exergy).

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“…Mrzljak et al studied DI diesel engines by quasi-dimesional method. Their study presented two components of developed quasi-dimensional numerical model: spray package penetration and gas inflow from the zone without combustion into the spray packages [19]. Seyedin et al studied pressure swirl nozzle.…”

Section: Introductionmentioning

confidence: 99%

Estimating Spray Characteristics of the Air-Blast atomizer of a Typical Jet Engine using Definition of the New Non-dimensional Number K: Numerical and Experimental Study

et al. 2022

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In this paper, by using a numerical solution and experiment investigation, a non-dimensional number is introduced to estimate the characteristics of a real engine airblast atomizer spray. This type of atomizers is usually used in airplain engines. The test is conducted in ambient atmospheric pressure and at 300 K temperature and the effects of pressure on atomizer flow rate and spray con angle are investigated. We used the discrete phase model and real information of the ALF502 engine for simulations and for boundary conditions respectively. Since the main application of this airblast atomizer is in aircraft engines and in the real working conditions, none of the pressure and flow rate parameters is constant, thus, the main aim of this research is to define a nondimensional number K, which considers the effects of working liquid flow rate, air flow rate and pressure on the droplets average diameter and spray con angle simultaneously. The results showed that, in general, with the increase of non-dimensional K number, the average diameter of droplets in primary and secondary break up increases, but spray con angle decreases. Furthermore, numerical solution results are compared with experiment results and 9.98% error was observed.

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Numerical analysis of the fuel spray packages penetration and gas inflow from quasi-dimensional di diesel engine numerical model

Cited by 4 publications

References 27 publications

Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm

Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm

Comparison of Exergy and Various Energy Analysis Methods for a Main Marine Steam Turbine at Different Loads

Estimating Spray Characteristics of the Air-Blast atomizer of a Typical Jet Engine using Definition of the New Non-dimensional Number K: Numerical and Experimental Study

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