Application of the Regularization Chaos Prediction Model in Aero-Engine Performance Parameters

2012 ◽  
Vol 424-425 ◽  
pp. 347-351 ◽  
Author(s):  
Yong Sheng Shi ◽  
Jun Jie Yue ◽  
Yun Xue Song
Keyword(s):  
Prediction Model ◽  
Simulation Analysis ◽  
Search Algorithm ◽  
Engine Performance ◽  
Forecasting Model ◽  
Exhaust Gas ◽  
Gas Temperature ◽  
Engine Exhaust ◽  
Aero Engine ◽  
Exhaust Gas Temperature

Based on the research of complexity and non-linearity of aero-engine exhaust gas temperature (EGT) system, a regularization chaotic prediction model was proposed to build short time forecasting model of EGT. In this paper, in order to gain the best parameter to improve the accuracy of the forecasting model, a simple search algorithm arithmetic was adopted. The simulation analysis shows that the proposed forecasting model obviously exceeded the traditional chaotic forecasting model on prediction accuracy. Therefore, this arithmetic is efficient and feasible for a short-term prediction of aero-engine exhaust gas temperature

scholarly journals Aero-engine exhaust gas temperature prediction based on LightGBM optimized by improved bat algorithm

2020 ◽  
pp. 246-246
Author(s):  
Dingzhe Li ◽  
Jingbo Peng ◽  
Dawei He
Keyword(s):  
Goodness Of Fit ◽  
Bat Algorithm ◽  
Percentage Error ◽  
Exhaust Gas ◽  
Gas Temperature ◽  
Engine Exhaust ◽  
Data Set ◽  
Aero Engine ◽  
The Mean ◽  
Exhaust Gas Temperature

In this paper, an aero-engine exhaust gas temperature (EGT) prediction model based on LightGBM optimized by the chaotic rate bat algorithm (CRBA) is proposed to monitor aero-engine performance effectively. By introducing chaotic rate, the convergence speed and precision of bat algorithm are im-proved, which CRBA is obtained. LightGBM is optimized by CRBA and it is used to predict EGT. Taking a type of aero-engine for example, some relevant performance parameters from the flight data measured by airborne sensors were selected as input variables and EGT as output variables. The data set is divided into training and test sets, and the CRBA-LightGBM model is trained and tested, and compared with ensemble algorithms such as RF, XGBoost, GBDT, LightGBM and BA-LightGBM. The results show that the mean absolute error (MAE) of this method in the prediction of EGT (after normalization) is 0.0065, the mean absolute percentage error (MAPE) is 0.77% and goodness of fit R2 has reached to 0.9469. The prediction effect of CRBA-LightGBM is better than other comparison algorithms and it is suitable for aero-engine condition monitoring.

Design and Development of Surge Tank for NOx Emission Reduction in B20 Biofueled Diesel Engine

2020 ◽  
Vol 12 (5) ◽  
Author(s):  
Jaspreet Hira ◽  
Basant Singh Sikarwar ◽  
Rohit Sharma ◽  
Vikas Kumar ◽  
Prakhar Sharma
Keyword(s):  
Diesel Engine ◽  
Research Work ◽  
Engine Performance ◽  
Nox Emission ◽  
Intake Manifold ◽  
Exhaust Gas ◽  
Gas Temperature ◽  
Surge Tank ◽  
Brake Thermal Efficiency ◽  
Exhaust Gas Temperature

In this research work, a surge tank is developed and utilised in the diesel engine for controlling the NOX emission. This surge tank acts as a damper for fluctuations caused by exhaust gases and also an intercooler in reducing the exhaust gas temperature into the diesel engine intake manifold. With the utilisation of the surge tank, the NOX emission level has been reduced to approximately 50%. The developed surge tank is proved to be effective in maintaining the circulation of water at appropriate temperatures. A trade-off has been established between the engine performance parameters including the brake thermal efficiency, brake specific fuel consumption, exhaust gas temperature and all emission parameters including HC and CO.

A Performance Evaluation of a Three Splitter Diffuser and Vaneless Diffuser Installed on the Power Turbine Exhaust of a TF40B Gas Turbine

1998 ◽  
Author(s):  
Howard Harris ◽  
Ivan Piñeiro ◽  
Tom Norris
Keyword(s):  
Field Test ◽  
Engine Performance ◽  
Pressure Recovery ◽  
Exhaust Gas ◽  
Test Results ◽  
Gas Temperature ◽  
Vaneless Diffuser ◽  
Recovery Coefficient ◽  
Power Turbine ◽  
Exhaust Gas Temperature

A field test was conducted on a three splitter diffuser and a vaneless diffuser (no splitters) to determine, the pressure recovery coefficient, effects on engine performance, exhaust collector temperature distribution, and exhaust gas noise. This paper presents the cause of the mechanical failure of the three splitter diffuser, basic diffuser design, field test instrumentation, and the test results. The test results found the vaneless diffuser had a higher pressure recovery, created a lower back pressure, and did not raise the exhaust gas temperature (EGT) nor fuel consumption of the engine, as compared to the three splitter diffuser.

Influence of Bioethanol-Gasoline Blended Fuel on Performance and Emissions Characteristics from Port Injection Sinjai Engine 650 cc

2014 ◽  
Vol 493 ◽  
pp. 273-280 ◽  
Author(s):  
Bambang Sudarmanta ◽  
Sudjud Darsopuspito ◽  
Djoko Sungkono
Keyword(s):  
Fuel Consumption ◽  
Engine Performance ◽  
Exhaust Gas ◽  
Gas Temperature ◽  
Performance And Emissions ◽  
Blended Fuel ◽  
Hc Emissions ◽  
American Society ◽  
Exhaust Gas Temperature ◽  
Blended Fuels

Performance and emissions characteristics from port injection SINJAI engine 650 cc operating on bioethanol-gasoline blended fuels of 0%, 5%, 10%, 15% and 20% were investigated on water brake dynamometers with power capacity 120 hp. The properties of bioethanol were measured based on American Society for Testing Materials (ASTM) standards. Fuel consumption was measured by the time fuel consumption per 25 cc of fuel in a measuring glass whereas combustion air consumption was measured using an air flow meter. The emission parameters, exhaust gas temperature and air fuel ratio were measured using STARGAS exhaust gas analyzer. The increase of bioethanol content will increases the engine performance and reduces pollutan emission. The highest engine performance produced by E15 blended fuel with increased torsi, mean effective pressure and power output of 10,27 %, thermal efficiency 1,8% but specific fuel consumption increased approximatelly 12,42%. This condition occurs at engine speed 3000 - 3500 rpm. While the emission CO and HC emissions decreased significantly as a result of the leaning effect caused by the bioethanol addition. In this study, it was found that using bioetanol-gasoline blended fuels , the CO and HC emissions would be reduced appoximatelly by 55 and 32% Respectively.

scholarly journals PERFORMANCE AND EXHAUST GAS TEMPERATURE INVESTIGATION OF CERAMIC, METALLIC AND FeCrAl CATALYTIC CONVERTER IN GASOLINE ENGINE

SINERGI ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 11
Author(s):  
Hadi Pranoto ◽  
Dafit Feriyanto ◽  
Supaat Zakaria
Keyword(s):  
Gasoline Engine ◽  
Catalytic Converter ◽  
Engine Performance ◽  
Exhaust Gas ◽  
Variable Speed ◽  
Gas Temperature ◽  
Gas Emission ◽  
Exciting Field ◽  
Exhaust Gas Emission ◽  
Exhaust Gas Temperature

Catalytic converter (CATCO) and its effect on engine performance and exhaust gas temperature became an exciting field in automotive research. In this study purposed to compare existing CATCO which is ceramic and metallic with FeCrAl CATCO that treated with a combination of ultrasonic bath and electroplating technique in 30 minutes holding time (UB+EL 30 min). This study proposed to select an appropriate CATCO that used in a gasoline engine to increase the performance and to reduce the exhaust gas temperature as well as its potential to reduce the exhaust gas emission. Mitsubishi 4G93 conducted this analysis with 1.8 L and 10.5 compression ratio with a variable speed of 100, 2000 and 3000 rpm and different engine load of 10, 20 and 30%. The result shows that the FeCrAl CATCO was more useful to reduce fuel consumption up to 66.42% and increase torque up to 15.79% as well as reduce exhaust gas temperature up to 30.11% as compared to ceramic and metallic CATCO. It can be concluded that FeCrAl CATCO coated by UB+EL 30 min was recommended to increase engine performance and to reduce exhaust gas emission.

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