Abstract
Propulsive force and exhaust fluid temperature are important indicators in the performance of an engine. An investigation of the effects of propellant composition, plane flight conditions, and engine operating environment on rocket thrust and the range of smoke plume temperature can provide references in the design of engine mechanics at the optimization of propellant composition, in monitoring of target identification and in the evolving of stealth of stealth technology. In order to understand the characteristics of the engine tail flame, a visual simulation of the engine tail flame was carried out by combining the engine operating conditions with the tail flame conditions. Based on the advantages of the bicubic spline interpolation algorithm and the Kriging interpolation algorithm, this paper proposes a hybrid interpolation algorithm, which performs color mapping and three‐dimensional space separation in the engine plume data set and model, and visualizes the engine and engine plume. The simulation realizes real‐time monitoring of the functions of various engine components through characteristic colors. The research results show that the hybrid interpolation method can effectively visualize the engine exhaust flame. The simulated plume has a relatively obvious temperature peak at 0.7 m, and the temperature of the plume flow field is significantly higher than that of the frozen plume flow field by about 200 ~1000 K. This shows that the algorithm in this paper helps to visualize the expression of engine tail flame information.
Highlights
With the continuous development of several years, the advantages of engine optimization and the methods of engine optimization have gradually gained the attention of people
We propose a color interpolated pseudoimage coding algorithm for visualization of engine tail flame simulations in 3D visualization, color clustering mapping of engine tail flame and color space system, visual color clustering parameters of engine tail flame based on pseudoimage coding algorithm for clustering study, and realize color interpolation of pseudoimage coding and smooth transition of layer slice level, which makes the color transition of the visualized picture of engine tail flame more natural
In the process of interpolating the surface dust concentration in the measurement area, this paper combines the advantages of the bicubic spline interpolation algorithm and the Kriging interpolation algorithm and proposes a new hybrid interpolation method that introduces the variation function and the azimuth search strategy
Summary
With the continuous development of several years, the advantages of engine optimization and the methods of engine optimization have gradually gained the attention of people. The problem of engine optimization is closely related to the real-time dynamic monitoring of engine tail flames. There are many methods for observing the exhaust flame of an engine, such as measuring the jet flow and radiation state through optical measurement; establishing a chemical reaction model; imaging analysis technology and material science technology to monitor the rocket engine assembly process. Use the model to interpolate the missing values in the monthly ionospheric characteristics table and perform interpolation for a given hour by calculating the weighting coefficients of adjacent measured values This process selects those measured values that have the highest autocorrelation coefficients around the gap [5]. The color transition of the visualized pseudocolor image of the engine tail flame is smooth, and the visual expression of the image is more natural
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