The Experiment Validation Of The Surface Characteristics Of The Sea Object And The Influence Of Part Parameters

Thermal signatures modeling is widely used in national economic and military department, such as electric power, fire control, industry, medical treatment, security; thus modeling software is required to optimize its physical and mathematical model in order to improve continuously the practicality of the software. In addition, experimental validation is an important step in the development and optimization of modeling software. As for thermal signatures modeling software, the validation is usually utilized to valid, and it is of great significance.The main work of this paper is as follows:1. Optimizing the model by analyzing how mathematical and physical model, which respectively includes segmentation model, parameters of the line number and vertical division of conduction layer, internal radiation; effects on the computation time and accuracy of the modeling software.2. After optimization of the model, the software was carried on the preliminary validation to evaluate aspects of its performance. In order to test rapidly and effectively, we simply take the geometry of ground vehicles as CUBI or cube; validation is mainly of two parts:A. Modeling software verification which is based on FGAN-FOM experiment: by reasonably setting parameters of physical and mathematical mode, the software calculation results are compared with the measured values of FGAN-FOM experiment. It shows that the temperature field of the object model can be simulated well using the modeling software of this paper.B. Experimental Validation:we take the CUBI and three cubes with different surface emissivity as experimental test body. Measured surface temperature data of the object in feature positions was obtained. Through the comparison of measured and calculation data, the accuracy of the modeling software is proved to basically conform to requirement, and the difference between measured and calculation data was approximately determined to be ± 3 ℃.3. Finally, there is a brief description and comparison of several typical temperature field modeling softwares.In short, the model optimization and experimental verification would be a reasonable and information extension of the present work. Of course, further in-depth work is necessary.