Research On Temperature Inversion Technique Of Radiation Field Under Strong Impact

Shock radiation temperature is an important parameter in the performance testing of weapons and ammunition and the state of materials in extreme environments.Accurate measurement of shock radiation temperature is of great significance in national defense construction and industrial manufacturing.Due to the characteristics of short duration,difficult contact measurement and wide temperature range of impact radiation,common measurement methods are difficult to meet its requirements.This thesis discusses the method of using multispectral radiation thermometry to obtain material shock radiation temperature,and proposes a shock radiation temperature inversion method based on combinatorial optimization theory,which efficaciously increases the efficiency and precision of shock radiation temperature inversion.This thesis consists of the following main parts:1)By analyzing the multispectral radiation thermometry method and the shock radiation temperature characteristics,this thesis discusses the shortcomings of the shock radiation temperature inversion model based on Wien’s formula,and on this basis,combined with Planck’s radiation law,object temperature,emissivity and wavelength,and a shock radiation temperature inversion model based on Planck’s formula was constructed.2)In view of the complex measurement environment,the collected spectral data has noise interference,which affects the accuracy of the temperature inversion results.Combining CEEMDAN filter denoising with wavelet threshold denoising,a wavelet threshold denoising algorithm based on CEEMDAN is designed to denoise the spectral radiation data collected in the experiment and remove the noise information contained in the data.The feasibility and effectiveness of the denoising algorithm in this thesis are verified by simulation,which improves the accuracy and smoothness of the experimental data and provides data guarantee for the accuracy of temperature inversion.3)Aiming at the problem of unknown emissivity in shock radiation temperature inversion.In this thesis,based on combinatorial optimization theory,the unknown value of emissivity is transformed into a formulated constraint to effectively solve the shock radiation temperature inversion problem.By combining the balance optimizer algorithm with the sequential quadratic programming algorithm,a shock radiation temperature inversion algorithm based on combinatorial optimization theory is designed,which avoids the disadvantages of poor stability and slow solution speed of a single algorithm.Through the simulation verification,the feasibility and effectiveness of the temperature inversion method are verified,and the accuracy and efficiency of the temperature inversion are further improved by adjusting the parameters in the algorithm.4)Select metal copper as the target material,and use the experimental test system to obtain the spectral radiation data of copper in the impact state.Using the least squares method,the interior point penalty function method and the algorithm of this thesis,the established temperature inversion model is solved to obtain the impact radiation temperature value of copper,and the temperature inversion results calculated by the three solving methods are compared with the theoretical Compared with the temperature values,the results show that the algorithm in this thesis has a higher accuracy in solving the temperature,which verifies the practicability of the temperature inversion method in this thesis and the feasibility in the actual impact radiation temperature measurement.