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Formulation of a fuel spray SMD model at atmospheric pressure using Design of Experiments (DoE)

机译：使用实验设计（DoE）在大气压下制定燃油喷雾SMD模型

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Herein we describe the application of historical data design under response surface methodology to formulate the correlation of the fuel spray SMD (Sauter Mean Diameter) with factors (viscosity, fuel injection pressure, air-blast pressure). The Design Expert software was used to analyze the experimental data to obtain the equation between the factors and the response. The range of the values of variables used in this experiment were viscosity of the fuels 9.71 x 10(-4) Pa-1.207 x 10(-3) Pa, the fuel injection pressure 0.1-1.0 MPa, the air-blast pressure from 0 Pa to 2000 Pa and a total of 120 test points were conducted. The data were converted into logarithmic scale in order to utilize the linear fitting function of the DoE (Design of Experiments). According to the ANOVA (analysis of variance), the most influential factor to the fuel spray SMD is fuel injection pressure, followed by fuel viscosity and air-blast pressure. R-2 value of 0.9339 demonstrated that the regression equation obtained by historical data design fits the experimental results consistently. (C) 2015 Elsevier Ltd. All rights reserved.
机译：在这里，我们描述了历史数据设计在响应面方法下的应用，以公式化燃料喷雾SMD（苏特平均直径）与因素（粘度，燃料喷射压力，鼓风压力）的相关性。使用Design Expert软件分析实验数据，以获得因素与响应之间的方程。在该实验中使用的变量值的范围是：燃料粘度9.71 x 10（-4）Pa-1.207 x 10（-3）Pa，燃料喷射压力0.1-1.0 MPa，鼓风压力从0开始Pa至2000 Pa，共进行了120个测试点。为了利用DoE（实验设计）的线性拟合功能，将数据转换为对数刻度。根据方差分析（方差分析），对燃油喷雾SMD影响最大的因素是燃油喷射压力，其次是燃油粘度和鼓风压力。 R-2值为0.9339，表明通过历史数据设计获得的回归方程始终符合实验结果。 （C）2015 Elsevier Ltd.保留所有权利。

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