• 한국분무공학회지
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• 제28권1호
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• pp.1-9
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• 2023

In the cylinder of gasoline direct injection engines, the spray targeting from injectors is of great significance for fuel consumption and pollutant emissions. The automotive industry is putting a lot of effort into improving injector targeting accuracy. To improve the targeting accuracy of injectors, it is necessary to develop models that can predict the spray targeting positions. When developing spray targeting models, the most used technique is computational fluid dynamics (CFD). Recently, due to the superiority of machine learning in prediction accuracy, the application of machine learning in this field is also receiving constant attention. The purpose of this study is to build a machine learning model that can accurately predict spray targeting based on the design parameters of injectors. To achieve this goal, this study firstly used laser sheet beam visualization equipment to obtain many spray cross-sectional images of injectors with different parameters at different injection pressures and measurement planes. The spray images were processed by MATLAB code to get the targeting coordinates of sprays. A total of four models were used for the prediction of spray targeting coordinates, namely ANN, LSTM, Conv1D and Conv1D & LSTM. Features fed into the machine learning model include injector design parameters, injection conditions, and measurement planes. Labels to be output from the model are spray targeting coordinates. In addition, the spray data of 7 injectors were used for model training, and the spray data of the remaining one injector were used for model performance verification. Finally, the prediction performance of the model was evaluated by R² and RMSE. It is found that the Conv1D&LSTM model has the highest accuracy in predicting the spray targeting coordinates, which can reach 98%. In addition, the prediction bias of the model becomes larger as the distance from the injector tip increases.

• 대한기계학회논문집B
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• 제40권9호
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• pp.569-576
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• 2016

본 연구는 HSDI 디젤 엔진의 연소 성능 향상을 위해 연료 분사 타겟팅의 최적화를 수치 해석적으로 연구하였다. 연구에 적용된 연소모델은 ECFM-3Z모델을 사용하였고, 해석에 필요한 엔진 부하 및 연료의 타겟팅은 분사량, 분사각도, 분사시기를 변경하여 해석한 실린더압력, 열 발생률, 배기 배출물 특성의 결과를 비교 분석하여 연구하였다. 연구결과, 분사시기와 분사각도에 따라 연료가 피스톤 보울 안쪽으로 많이 유입될수록 열 발생률의 증가로 인하여 $NO_x$는 증가하였고, CO, Soot은 연소성능의 증진으로 감소하는 것을 확인할 수 있었다. 또한, 분사시기가 진각될수록 균일 혼합기 형성시간이 충분하여 연소성능이 증진되고, 실린더압력은 증가하였다.

• 한국산학기술학회논문지
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• 제17권3호
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• pp.270-275
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• 2016

본 연구에서는 디젤 연료 온도에 따른 실제 분사되는 연료량, 분사율 그리고 거시적 분무 발달 과정에 대한 특성을 파악하고자 하였다. 시험 결과 동일한 분사 시작 신호 및 분사 기간 신호를 입력하였음에도 불구하고, 연료 온도가 낮아짐에 따라 실제 연료 분사량이 감소하는 경향을 보였다. 분사율 측정 결과를 통해 연료 온도가 낮은 조건에서 실제 분사 시작 시점이 지연되며, 실제 분사가 유지되는 기간이 짧아지는 것을 확인하였으며, 이를 통해 실제 분사되는 연료량 저감에 대한 근거를 찾을 수 있었다. 거시적 분무 이미지 촬영 결과를 연료 온도 별 분무 도달 거리로 표현하여 비교 하였으며, 낮은 연료 온도 조건에서 분무 미립화 성능 악화로 인해 분무 도달 거리가 길어지는 것을 확인하였다. 저온 조건에서의 연소 개선을 위해 향후 시도할 선행 평가로서 피스톤 타켓팅 평가를 수행하였으며, 이른 시기에 분사되는 파일럿 연료가 크레비스 영역으로 유입되는 것을 확인하였으며, 이를 통해 파일럿 분사 방식 적용 시 연료량 분배 및 분사 시기 선정이 매우 중요한 인자가 됨을 파악하였다.

• International Journal of Automotive Technology
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• 제6권5호
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• pp.437-444
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• 2005

Unburned hydrocarbon (UBHC) emissions from gasoline engines remain a primary engineering research and development concern due to stricter emission regulations. Gasoline engines produce more UBHC emissions during cold start and warm-up than during any other stage of operation, because of insufficient fuel-air mixing, particularly in view of the additional fuel enrichment used for early starting. Impingement of fuel droplets on the cylinder wall is a major source of UBHC and a concern for oil dilution. This paper describes an experimental study that was carried out to investigate the distribution and 'footprint' of fuel droplets impinging on the cylinder wall during the intake stroke under engine starting conditions. Injectors having different targeting and atomization characteristics were used in a 4-Valve engine with optical access to the intake port and combustion chamber. The spray and targeting performance were characterized using high-speed visualization and Phase Doppler Interferometry techniques. The fuel droplets impinging on the port, cylinder wall and piston top were characterized using a color imaging technique during simulated engine start-up from room temperature. Highly absorbent filter paper was placed around the circumference of the cylinder liner and on the piston top to collect fuel droplets during the intake strokes. A small amount of colored dye, which dissolves completely in gasoline, was used as the tracer. Color density on the paper, which is correlated with the amount of fuel deposited and its distribution on the cylinder wall, was measured using image analysis. The results show that by comparing the locations of the wetted footprints and their color intensities, the influence of fuel injection and engine conditions can be qualitatively and quantitatively examined. Fast FID measurements of UBHC were also performed on the engine for correlation to the mixture formation results.

• 한국자동차공학회논문집
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• 제20권3호
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• pp.141-147
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• 2012

A direct injection diesel engine with large amount of exhaust gas recirculation was used to investigate low temperature diesel combustion. Pilot injection strategy was adopted in low temperature diesel combustion to reduce high carbon monoxide and hydrocarbon emissions. Combustion characteristics and exhaust emissions of low temperature diesel combustion under different pilot injection timings, pilot injection quantities and injection pressures were analyzed. Retarding pilot injection timing, increasing pilot injection quantity and higher injection pressure advanced main combustion timing and increased peak heat release rate of main combustion. As a result of these strategies, carbon monoxide and hydrocarbon emissions were reduced. Soot emission was slightly increased with retarded pilot injection timing while the effect of pilot injection on nitrogen oxides emission was negligible under low combustion temperature condition. Spatial distribution of fuel from the spray targeting visualization was also investigated to provide more insight into the reason for the reduction in carbon monoxide and hydrocarbon emissions.