• Title/Summary/Keyword: 레이저시트 가시화

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Soot Measurement in an Optically Accessible Diesel Engine Using Laser Sheet (2nd reprot: The Measurement for diameter and number density of Soot) (레이저시트광을 이용한 가시화 디젤엔진에서의 Soot 계측(제2보 : Soot 입경분포 및 수밀도 계측))

  • 이명준;박태기;하종률;정성식
    • Transactions of the Korean Society of Automotive Engineers
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    • v.8 no.3
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    • pp.37-45
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    • 2000
  • The technique of laser sheet beam has been applied to optically accessible diesel engine for the quantitative measurement of soot. The results provide the information for us for reduction of soot in diesel engine. We used both LIS nad LII techniques simultaneously in this study. LIS and LII images show the quantitative distribution of the soot concentration in an optically accessible diesel engine. In this study, several results were obtained by the simultaneous measurement of LIS and LII technique. The diameter and number density of soot in combustion chamber of the test engine were obtained from ATDC 20$^{\circ}$ to 110$^{\circ}$ . The increase rate of soot diameter was about 40$^{\circ}$ between ATDC 20$^{\circ}$and 110$^{\circ}$. And the number density of soot decreased significantly between ATDC 20$^{\circ}$and 40$^{\circ}$.

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Soot Measurement in an Optically Accessible Diesel Engine Using Laser Sheet 1st report : The Development of Optically Accessible Diesel Engine and Photography of 2D Soot Images Using Laser Sheet (레이저시트광을 이용한 가시화 디젤엔진에서의 Soot 계측 제1보 : 가시화 디젤엔진의 제작 및 레이저를 이용한 Soot의 2D 화상촬영)

  • 이명준;박태기;하종률;정성식
    • Transactions of the Korean Society of Automotive Engineers
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    • v.8 no.2
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    • pp.64-71
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    • 2000
  • In order to clarify the characteristics of soot formation and oxidation in-cylinder of a diesel engine, it is necessary to diagnose accurately for combustion of in-cylinder. The past techniques for soot measurement have limitations in providing the characteristics of soot in a diesel engine, whereas, laser-based 2D imaging diagnostics have the potential to provide better temporally and spatially resolved measurements of the soot distribution. We rebuilt an optically accessible diesel engine which is similar to the conditions of a conventional engine and tried to measure soot distribution in a cylinder of the diesel engine using laser induced scattering(LIS) and laser induced incandescence(LII). Some results were acquired in this study. LIS and LII signal that show soot distribution of a in-cylinder were taken by ICCD properly. The signal of LIS was intenser than that of LII. Although they have some differences of signal intensity in early combusion period, both of signals show that they are generally similar in late combustion period, after ATDC 50 degree.

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Soot Concentration Measurement in Diesel Engine Using Laser Sheet Beam (레이저 시트빔을 이용한 디젤엔진의 Soot 농도 계측)

  • Lee, J.S.
    • Journal of ILASS-Korea
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    • v.5 no.1
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    • pp.23-29
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    • 2000
  • Recently the laser sheet technique has been developed to improve our limited understanding of the in-cylinder diesel combustion. The technique is capable of high temporal and spatial resolution, so that it is proved to be an adequate combustion diagnostics to find out exhaust emission formation. The optical signals of LIS(Laser Induced Scattering) and LII(Laser Induced Incandescence) images show informations for soot concentration within the optically accessible diesel engine. The LIS and LII signal images of soot concentration provide new insight into where and when soot occurs in a diesel engine.

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Modeling of a Gasoline Spray Impinging on a Wall (벽면충돌 가솔린 분무 모델)

  • 김태완;원영호;박정규
    • Transactions of the Korean Society of Automotive Engineers
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    • v.9 no.5
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    • pp.30-37
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    • 2001
  • Most gasoline engines employ a port injection system to achieve the better fuel-air mixing. A part of injected fuels adheres to the wall or intake valve and forms a film of liquid fuel. The other is secondarily atomized by the spray-wall interaction. A better understanding of this interaction will help in designing injection systems and controlling the strategies to improve engine performance and exhaust emissions. In the present research, the spray-wall interaction was investigated by a laser sheet visualization method. The shape of sprays was pictured at various impinging velocities and angles. The fuel dispersion was estimated by fluorescence light, and the atomization was evaluated by the enlarged images of droplets. The experimental results were compared with model predictions which are based on OPT method. The model has been modified to have the better agreement with the experimental result, and was implemented in the KIVA-II code.

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Impinging Atomization of Intermittent Gasoline Sprays (간헐 가솔린 분무의 충돌에 의한 미립화 촉진)

  • 원영호;임치락
    • Transactions of the Korean Society of Automotive Engineers
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    • v.6 no.5
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    • pp.174-181
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    • 1998
  • Experimental and analytical studies are presented to characterize the break-up mechanism and atomization processes of the intermittent- impinging-type nozzle. Gasoline jets passing through the circular nozzle with the outlet diameter of 0.4mm and the injection duration of 10ms are impinged on each other. The impingement of fuel jets forms a thin liquid sheet, and the break-up of the liquid sheet produces liquid ligaments and droplets subsequently. The shape of liquid sheets was visualized at various impinging velocities and angles using the planer laser induced fluorescence (PLIF) technique. Based on the Kelvin-Helmholtz wave instability theory, the break-up length of liquid sheets and the droplet diameter are obtained by the theoretical analysis of the sheet disintegration. The mean diameter of droplet is also estimated analytically using the liquid sheet thickness at the edge and the wavelength of the fastest growing wave. The present results indicate that the theoretical results are favorably agreed with the experimental results. The size of droplets decreases after the impingement as the impinging angle or the injection pressure increase. The increment of the injection pressure is more effective than the increment of the impinging angle to reduce the size of droplets.

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Application of PIV in the Flow Field Over a Fixed Dune Bed (언덕이 있는 하상유동 계측을 통한 PIV기법의 수력학적 적용연구)

  • Hyun B. S.;Balacharldar R.;Patel V, C.
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.5 no.3
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    • pp.10-15
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    • 2002
  • The assessment of PIV to measure the mean velocity and turbulence was carried out over a train of fixed two-dimensional dunes. The agreement between the PIV and LDV is good enough even in regions of flow reversals and high shear. Though limited in the wall normal direction field-of-view, PIV provides instantaneous flow fields, which reveal the complex nature of flow over dunes, as well as more sophisticated analyses such as two-point space correlation and quadrant analysis with a reasonable accuracy The present study is expected to be directly applied to more complex flow such as sediment transport.

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Measurement and Prediction of Spray Targeting Points according to Injector Parameter and Injection Condition (인젝터 설계변수 및 분사조건에 따른 분무타겟팅 지점의 측정 및 예측)

  • Mengzhao Chang;Bo Zhou;Suhan Park
    • Journal of ILASS-Korea
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    • v.28 no.1
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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.