Machine learning assisted prediction of exhaust gas temperature of a heavy-duty natural gas spark ignition engine

Liu, Jinlong; Huang, Qiao; Ulishney, Christopher; Dumitrescu, Cosmin E.

doi:10.1016/j.apenergy.2021.117413

Cited by 80 publications

(25 citation statements)

References 35 publications

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“…The temperature of the gas mixture leaving the combustion chamber is an important parameter for optimizing performance and controlling the emissions of an internal combustion engine [206]. Exhaust gas temperature (EGT) also affects the performance of the after-treatment system.…”

Section: Effect On Exhaust Gas Temperaturementioning

confidence: 99%

A Comprehensive Review of the Properties, Performance, Combustion, and Emissions of the Diesel Engine Fueled with Different Generations of Biodiesel

Zhang

Zhong

et al. 2022

Processes

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Due to the increasing air pollution from diesel engines and the shortage of conventional fossil fuels, many experimental and numerical types of research have been carried out and published in the literature over the past few decades to find a new, sustainable, and alternative fuels. Biodiesel is an appropriate alternate solution for diesel engines because it is renewable, non-toxic, and eco-friendly. According to the European Academies Science Advisory Council, biodiesel evolution is broadly classified into four generations. This paper provides a comprehensive review of the production, properties, combustion, performance, and emission characteristics of diesel engines using different generations of biodiesel as an alternative fuel to replace fossil-based diesel and summarizes the primary feedstocks and properties of different generations of biodiesel compared with diesel. The general impression is that the use of different generations of biodiesel decreased 30% CO, 50% HC, and 70% smoke emissions compared with diesel. Engine performance is slightly decreased by an average of 3.13%, 89.56%, and 11.98% for higher density, viscosity, and cetane, respectively, while having a 7.96% lower heating value compared with diesel. A certain ratio of biodiesel as fuel instead of fossil diesel combined with advanced after-treatment technology is the main trend of future diesel engine development.

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Section: Effect On Exhaust Gas Temperaturementioning

confidence: 99%

A Comprehensive Review of the Properties, Performance, Combustion, and Emissions of the Diesel Engine Fueled with Different Generations of Biodiesel

Zhang

Zhong

et al. 2022

Processes

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“…At present, some foreign scholars have already used algorithms such as the genetic algorithm (GA) [28], artificial neural network (ANN) [29], and adaptive neurofuzzy inference system (ANFIS) [30] for the calculation, prediction, and optimal design of heat transfer and pressure drop of heat exchangers, and few domestic scholars are currently using machine learning algorithms to optimize vehicle power performance [31][32][33][34][35][36]. Thus, the purpose of this study was to propose an optimization method for louvered window fin heat exchangers; more specifically, to employ ANN algorithms to optimize the louvered window fin structure and find the optimal fin structural parameters to reduce unnecessary repetitive modeling and simulation, accelerate the optimal design of heat exchangers, and achieve overall optimization with few samples.…”

Section: Introductionmentioning

confidence: 99%

Pre-research on Enhanced Heat Transfer Method for Special Vehicles at High Altitude Based on Machine Learning

Li¹,

Sun²,

Gao

2023

Chin. J. Mech. Eng.

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The performance of an integrated thermal management system significantly influences the stability of special-purpose vehicles; thus, enhancing the heat transfer of the radiator is of great significance. Common research methods for radiators include fluid mechanics numerical simulations and experimental measurements, both of which are time-consuming and expensive. Applying the surrogate model to the analysis of the flow and heat transfer in louvered fins can effectively reduce the computational cost and obtain more data. A simplified louvered-fin heat transfer unit was established, and computational fluid dynamics (CFD) simulations were conducted to obtain the flow and heat transfer characteristics of the geometric structure. A three-factor and six-level orthogonal design was established with three structural parameters: angle θ, length a, and pitch Lp of the louvered fins. The results of the orthogonal design were subjected to a range analysis, and the effects of the three parameters θ, a, and Lp on the j, f, and JF factors were obtained. Accordingly, a proxy model of the heat transfer performance for louvered fins was established based on the artificial neural network algorithm, and the model was trained with the data obtained by the orthogonal design. Finally, the fin structure with the largest JF factor was realized. Compared with the original model, the optimized model improved the heat transfer factor j by 2.87%, decreased the friction factor f by 30.4%, and increased the comprehensive factor JF by 15.7%.

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“…With the increase in vehicle performance requirements and increasingly stringent environmental regulations, new engine technologies have been developed, 1,2 such as the application of advanced combustion strategies, 3 alternative fuels, 4,5 and engine miniaturization technologies. 6,7 Among them, engine miniaturization can well reduce fuel consumption and pollutant emissions, 8,9 but can lead to detonation in use due to turbocharging strategies.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the effect of injection timing on the in-cylinder activity of a gasoline direct injection engine

Zhang

Wang

Yang

et al. 2022

Advances in Mechanical Engineering

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GDI (Gasoline direct injection) technology is used in downsized engines for its economy and low emissions. However, if the injection strategy is not set properly, GDI will produce more emissions than conventional gasoline engines. In this paper, the effect of injection timing on GDI engine emissions under optimal phasing conditions was analyzed by using a three-dimensional (3D) computational fluid dynamics (CFD) GDI engine numerical model. The results showed that at medium engine speed and medium load advancing the injection timing from −300 to −290 CAD ATDC resulted in a more efficient and cleaner combustion process, as evidenced by the higher power output, the increased thermal and combustion efficiencies, and the reduced CO, UHC, soot emissions. The raised NOx emissions at advanced injection timing operation corresponded to the high combustion quality. There was a trade-off relation for advancing injection timing strategy. Specifically, an advanced injection timing operation would increase the amount of liquid film formed on the piston and liner, which is not favorable to clean combustion. However, advancing injection timing also provides more time for fuel-air mixing, which is beneficial for the formation of a more homogeneous mixture. The numerical simulations suggested that the advantages of earlier injection timing outweighed the disadvantages and improved engine efficiency, at least for the conditions and the engine investigated here. Moreover, the comparison indicated that changing injection timing also altered the chemical reaction pathways for pollutant species formation. Overall, all of these findings demonstrated that more fundamental work is still needed to understand the effect of injection timing on engine performance.

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Machine learning assisted prediction of exhaust gas temperature of a heavy-duty natural gas spark ignition engine

Cited by 80 publications

References 35 publications

A Comprehensive Review of the Properties, Performance, Combustion, and Emissions of the Diesel Engine Fueled with Different Generations of Biodiesel

A Comprehensive Review of the Properties, Performance, Combustion, and Emissions of the Diesel Engine Fueled with Different Generations of Biodiesel

Pre-research on Enhanced Heat Transfer Method for Special Vehicles at High Altitude Based on Machine Learning

Numerical investigation of the effect of injection timing on the in-cylinder activity of a gasoline direct injection engine

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