Research On Acoustic Temperature Measurement Of The Temperature Field Of Aeroengine Combustion Chamber

In some high-temperature and harsh environments,such as the combustion chamber of an aero-engine and the boiler furnace of a large-scale thermal power plant,the traditional single-point temperature measurement method cannot meet the actual needs due to the fact of high-temperature and fast-changing.Therefore,based on the theory of acoustic temperature measurement,this thesis proposes a truncated singular value method based on radial basis function for the field of aero-engine combustion chambers,and explores to solve the problem of difficult reconstruction of temperature field in complex environments.The main research contents and achievements of this thesis are as follows:(1)Because of the large noise in the engine combustion chamber and the acoustic signal is easy to be submerged,the FTRLS adaptive filter algorithm based on RLS algorithm is proposed.The algorithm can be considered as a method that two transverse filters,a joint process estimator and auxiliary filter working in parallel,interacting with each other,exchanging parameters and quickly implementing the RLS algorithm.Simulation and experimental data processing results show that the algorithm reduces the time complexity of the RLS algorithm and further enhances the de-noising effect of the acoustic signal.(2)In order to solve the problem of missing boundary information in the reconstruction of temperature field based on the least square algorithm,a singular value decomposition algorithm based on radial basis fitting is proposed.And this thesis establishes the model temperature fields of unimodal symmetry,unimodal deflection,bimodal symmetry and bimodal deflection and uses these two algorithms to reconstruct their simulation.The simulation results show that the singular value decomposition algorithm based on radial basis fitting has higher reconstruction accuracy and can extract temperature boundary information.On this basis,this thesis studied the influence of different radial basis geometric parameters and the number of divisions of the interface to be measured on the reconstruction accuracy.Simulation results show that as the number of regions to be measured increases,the longer the reconstruction time of the algorithm,the more difficult it is to meet the real-time requirements of the reconstructed temperature field.Therefore,the proper division of the interface to be measured is only conducive to the reconstruction of the temperature field if only suitable radial basis geometric parameters are selected.