Trends in Diesel Engine Charge Air Cooling

Sekar, R.

doi:10.4271/820503

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…While acknowledging the potential for rationalizing cooling systems by regulating ICC flow through heat exchangers, these works lack clear recommendations on the choice of ICC expenditures. Similar observations apply to [10][11][12][13].…”

Section: Of 16supporting

confidence: 69%

Analysis of the Sum Minimization Possibilities of Heat Exchanger Core Masses in Internal Combustion Engine Cooling Systems

Moshentsev,

Gogorenko,

Dvirna

et al. 2023

Applied Sciences

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Rational designs for cooling systems (CS) of internal combustion engines are formulated in the form of a series of circulation circuits. The engine is integrated into a circuit with the highest and unregulated flow of internal circuit coolant (ICC). All heat exchangers are placed in circulation circuits with relatively reduced and adjustable ICC flow rates. While the circuits are usually interconnected, they can also be designed to operate independently. This CS scheme enables the achievement of the minimum possible value of the sum of masses of exchanger cores, denoted as MΣ. The reduction in MΣ is achieved through the regulation of ICC flow in a closed circulation loop involving two heat exchangers. The variations in MΣ based on the circuit parameters have been thoroughly investigated. The reduction in MΣ can also be applicable to more intricate systems. A decrease in MΣ, under identical initial CS parameters, may occur in different magnitudes, depending on the specific features of the CS scheme and the operating conditions of the heat exchangers within it. Cooling systems, constructed with the same initial parameters and comprising multiple circulation circuits that meet all criteria for rational design, may exhibit diverse configurations. Examples of such systems are explored, and the minimum values of MΣ are calculated for each. It has been determined that the disparity in the minimum values of MΣ for such systems, while maintaining equal efficiency, can exceed 30%. The selection of the optimal CS scheme is contingent not only on achieving the minimum possible value of MΣ but also on various other factors.

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Section: Of 16supporting

confidence: 69%

Analysis of the Sum Minimization Possibilities of Heat Exchanger Core Masses in Internal Combustion Engine Cooling Systems

Moshentsev,

Gogorenko,

Dvirna

et al. 2023

Applied Sciences

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“…All of them are double-circuit, where the cooling of the engine elements occurs with liquid circulating in a closed, internal circuit, and heat is removed from this circuit to water (for ship) or to air (for ground vehicles) through a special heat exchanger (radiator). Under certain conditions and for certain power plants, all of them can be applied and are applied up to the present [1][2][3][4][5][6][7][8].…”

Section: Analysis Of the Newest Researches And Publicationsmentioning

confidence: 99%

“…Then systems appeared in which the internal circuit with the ICCs was not divided into separate circuits, and for local cooling of the charge air, ICC was supercooled, which provided an increase in the cooling depth of the charge air and improved the control capabilities of such a system. In this case, the temperature of the ICC in front of the engine was maintained at the required level due to the mixing of various flows [6][7][8]15]. It was mentioned that in similar cooling systems the flow rate of ICC through heat exchangers should be very low, and the speed of ICC in the channels of heat exchangers should be reduced due to the relatively large number of strokes of ICC in such heat exchangers.…”

Section: Analysis Of the Newest Researches And Publicationsmentioning

confidence: 99%

Rational Liquid Cooling Systems of Internal Combustion Engines

Moshentsev¹,

Gogorenko²,

Dvirna³

2022

Adv. Sci. Technol. Res. J.

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The scheme of the cooling system is considered, which can be the basis for creating the most effi cient cooling systems for IC engines of any purpose. It is assumed that the use of any other scheme is devoid of a rational basis. The scheme consists of two connected circulation circuits, in one of which the coolant fl ow rate is an order of magnitude less than in the second. The engine is included in a circuit with increased coolant fl ow. All heat exchangers are in the second circuit. Rules for the formation of such systems are formulated. The basis of the method for calculating such systems is considered. It is indicated that the fl ow rate through each heat exchanger must be determined by calculation to ensure the maximum effi ciency of the cooling system. The considered scheme allows to provide the maximum possible depth of charge air cooling, if its temperature is not specifi ed, or to ensure the minimum cost and compactness of the cooling system, if this temperature is known. The scheme allows regulating the temperatures of the cooling fl uids of the system with all kinds of changes in the engine operating conditions and the ambient temperature.

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“…The turbine wheel of the T/C receives the energy of the exhaust gas generated from G/E and rotates the central shaft; thus, the compressor wheel of the T/C supplies air into the cylinder. An air cooler cooled by cooling water is installed between the T/C and engine cylinder, thus increasing the power output, reducing smoke, and improving the fuel consumption [35]. However, the viscosity of the LO, whose purpose is to lubricate the engine is lowered by the heat generated from the engine; therefore, it passes through a lube oil cooler.…”

Section: G/e and Cooling Systemmentioning

confidence: 99%

Prediction of Emission Characteristics of Generator Engine with Selective Catalytic Reduction Using Artificial Intelligence

Park

Lee

Nyongesa

et al. 2022

JMSE

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Eco-friendliness is an important global issue, and the maritime field is no exception. Predicting the composition of exhaust gases emitted by ship engines will be of consequence in this respect. Therefore, in this study, exhaust gas data were collected from the generator engine of a real ship along with engine-related data to predict emission characteristics. This is because installing an emission gas analyzer on a ship has substantial economic burden, and, even if it is installed, the accuracy can be increased by a virtual sensor. Furthermore, data were obtained with and without operating the SCR (often mounted on ships to reduce NOx), which is a crucial facility to satisfy environment regulation. In this study, four types of datasets were created by adding cooling and electrical-related variables to the basic engine dataset to check whether it improves model performance or not; each of these datasets consisted of 15 to 26 variables as inputs. CO2 (%), NOx (ppm), and tEx (°C) were predicted from each dataset using an artificial neural network (ANN) model and a support vector machine (SVM) model with optimal hyperparameters selected by trial and error. The results confirmed that the SVM model performed better on smaller datasets, such as the one used in this study compared to the ANN model. Moreover, the dataset type, DaCE, which had both cooling and electrical-related variables added to the basic engine dataset, yielded the best overall prediction performance. When the performance of the SVM model was measured using the test data of a DaCE on both no-SCR mode and SCR mode, the RMSE (R2) of CO2 was between 0.1137% (0.8119) and 0.0912% (0.8975), the RMSE (R2) of NOx was between 17.1088 ppm (0.9643) and 13.6775 ppm (0.9776), and the RMSE (R2) of tEx was between 4.5839 °C (0.8754) and 1.5688 °C (0.9392).

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Trends in Diesel Engine Charge Air Cooling

Cited by 10 publications

References 4 publications

Analysis of the Sum Minimization Possibilities of Heat Exchanger Core Masses in Internal Combustion Engine Cooling Systems

Analysis of the Sum Minimization Possibilities of Heat Exchanger Core Masses in Internal Combustion Engine Cooling Systems

Rational Liquid Cooling Systems of Internal Combustion Engines

Prediction of Emission Characteristics of Generator Engine with Selective Catalytic Reduction Using Artificial Intelligence

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