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문제 정의
- The purpose of this study is to predict NOx, HC emission and engine power of the single cylinder compression ignition engine fuelled with diesel. In this study only three input data were using which are: injection timing, crank angle and cylinder pressure.
제안 방법
- By using design of experiments carefully, the objective of RSM is to optimize a response (output variable) which is influenced by several independent variables (input variables). An experiment is a series of tests in which several variations are made in the input variables in order to identify the reasons for changes in the output response.
- Based on the experiment data, in order to control the large number of control parameter appropriately in consideration of NOx, HC emission and engine power as the engine output objectives, the model construction which reproduces the characteristic value of NOx, HC emission and engine power from control parameter is needed. In this study, the stepwise method considering multicollinearity was applied to construct the polynomial model order 1 and order 2.
- This can be done through regular updates to ensure that the error values are always below a pre-specified error threshold. In this paper, we have reported our predicting model of NOx, HC emission and engine power in single injection compression ignition engines by stepwise method considering multicollinearity. This paper shows that the predictive accuracy by stepwise method considering multicollinearity is high.
- In this research, the single cylinder compression ignition engine was used as experimental device to get the preliminary experiment data. Then, the preliminary experiment data was used to build the model.
- All the data got from experimental. In this study, the author only want to show the accuracy of the prediction model of the NOx, HC and engine power as the output variable.
- Then, y1, y2 and y3 represents the characteristic value of the optimization objective (output). In this study, the model was built with 3 input variables where each variable have 265 data and 60 data used to test this model. All the data got from experimental.
- Therefore, the model which has higher F value is better than other, even though only using a few of variable input. Three variable input were used to built NOx, HC emission and engine power model in this study, due to the difficulty to obtain data input that has direct correlation with NOx, HC emission and engine power. However, on both prediction which are NOx, HC and engine power, have R and F value more than 0.
- In this research, the stepwise regressions method was applied to construct the compression ignition engine model. Using the experimental data of a single cylinder compression ignition engine, the prediction model of NOx, HC and engine power in single injection compression ignition engines was built.
대상 데이터
- A single cylinder water-cooled, naturally aspirated, 4-cycle diesel engine with 498 cm3 of displacement and an SOHC 4 valves system was used to carry out the engine test. The engine control parameters are set as Table 2 and the engine optimization objectives are listed as Table 3.
- The test in this study was conducted by using only a single type of fuel that is diesel fuel. The results show the satisfy comparison between experiment and simulation.
데이터처리
- This condition show that this variable is the most dominant to develop NOx, HC emission and engine power model. The predicted results of NOx, HC emission and engine power are evaluated using correlation coefficient.
이론/모형
- In this research, the stepwise method is applied to some input parameter to build the response surface model of compression ignition engine. In the construction of the response surface model, the method of approximating by a polynomial model based on experimental data is used.
- In order to control the large number of control parameter appropriately in consideration of NOx, HC and engine power as the engine output objectives, the model construction which reproduces the characteristic value of NOx, HC and engine power from control parameter is needed. In this research, the stepwise regressions method was applied to construct the compression ignition engine model. Using the experimental data of a single cylinder compression ignition engine, the prediction model of NOx, HC and engine power in single injection compression ignition engines was built.
- Based on the experiment data, in order to control the large number of control parameter appropriately in consideration of NOx, HC emission and engine power as the engine output objectives, the model construction which reproduces the characteristic value of NOx, HC emission and engine power from control parameter is needed. In this study, the stepwise method considering multicollinearity was applied to construct the polynomial model order 1 and order 2. The accuracy of predictions made using stepwise method models considering multicollinearity depends on how well the regression function fits the data, there should be regular checks to see how well a regression function fits a given data set.
- In this study, the stepwise regressions method is used to construct the mathematical modelling of the single injection compression ignition engine.
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