A Simultaneous Reconstruction Algorithm of Three-dimensional Flame Temperature and Soot Volume Fraction Distribution

Abstract

The invention discloses a simultaneous reconstruction algorithm of three-dimensional flame temperature and soot volume fraction distribution, comprising the following steps: inputting the radiation intensity information of the outgoing spectrum of flame radiation light in different directions, discrete flame microelements, and establishing a flame radiation transfer equation; Determine the objective function, use the constructed simultaneous reconstruction algorithm for iterative calculation, and reconstruct the three-dimensional temperature and soot volume fraction distribution of the flame. In the iterative process of the algorithm of the invention, the non-negative least square algorithm is embedded in the simulated annealing algorithm, so that the search efficiency of the SA algorithm is significantly improved in the process of searching the objective function. At the same time, because the SA algorithm has the advantages of high quality, strong initial value robustness, general and easy implementation, etc., the NNLS‑SA algorithm has good global search characteristics and is not easy to fall into the local optimal value. It has higher precision and better convergence in the process of number distribution.

Description

technical field [0001] The invention relates to a simultaneous reconstruction algorithm of three-dimensional temperature of flame and volume fraction distribution of soot, and belongs to the technical field of flame temperature measurement. Background technique [0002] The combustion process is an extremely complex process in which physical and chemical changes are coupled and interacted with each other. The spatial distribution of temperature, soot volume fraction and other related products in the combustion flame is directly related to the safety, effectiveness and cleanliness of the energy conversion and utilization process. Significance. [0003] In recent years, the development of laser, optoelectronics and information technology has greatly promoted the in-depth research and application of non-contact temperature measurement technology. Non-contact temperature measurement technology has the advantage of not disturbing the flow field to be measured, and can be roughl...

AI Technical Summary

Problems solved by technology

Although the intelligent optimization algorithm provides more possibilities for the organic combination of different algorithms, due to the premature convergence of the genetic algorithm, the tendency to stagnate in the search process of the ant colony algorithm, and the low precision and easy divergence of the particle swarm algorithm, the current hybrid optimization The application of the algorithm in the research of the inverse radiation transfer problem is still relatively small, especially the simultaneous reconstruction of the three-dimensional temperature of the flame and the soot volume fraction distribution. Therefore, the proposal of a new hybrid optimization algorithm and the improvement of the existing hybrid algorithm still remain pending further research

Images