A method for reconstructing a gas temperature field using thermocouple measurement correction

The gas temperature field reconstruction method using thermocouple measurement correction solves the problem of insufficient spatiotemporal resolution and accuracy in gas temperature field reconstruction in traditional methods, and achieves high-precision temperature field reconstruction.

CN115169176BActive Publication Date: 2026-06-30XI AN JIAOTONG UNIV
2 Cites 0 Cited by

Patent Information

Application Number
CN202210718900.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-23
Publication Date
2026-06-30
Estimated Expiration
2042-06-23

AI Technical Summary

Technical Problem

Traditional single-point or local temperature measurement methods cannot meet the requirements for high spatiotemporal resolution reconstruction of gas temperature fields. Numerical models lack effective evaluation methods, resulting in large errors in simulation results and making it difficult to compare with experimental results.

Method used

A gas temperature field reconstruction method using thermocouple measurement correction is adopted. By establishing mapping relationships, experimental design, gradient descent algorithm and model quality evaluation algorithm, the boundary conditions of ANSYS temperature field model are corrected, thereby improving the model accuracy and stability.

Benefits of technology

It effectively improves the spatiotemporal resolution and accuracy of gas temperature field reconstruction, reduces reconstruction error, and improves the model fitting quality.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

A gas temperature field reconstruction method using thermocouple measurement correction is disclosed. First, an Inventor 3D model and an ANSYS temperature field model are established for the gas temperature field. Then, a mapping relationship is established between the control parameters of the gas temperature field and the boundary conditions of the ANSYS temperature field model. Based on the principle of maximizing the influence of fuzzy boundary conditions on the temperature field reconstruction results, experiments are designed for precise boundary conditions and experimental data are obtained. Next, given the boundary conditions of the ANSYS temperature field model, the model is run to obtain the temperature field reconstruction results. A model quality assessment algorithm is run to calculate the fitting degree between the measured curve and the simulation curve, obtaining the algorithm fitting parameters. The algorithm fitting parameters are selected to form the loss function of the gradient descent algorithm. The learning rate, termination condition, and initial iteration parameters are determined. The gradient descent algorithm is run until convergence. Finally, the final iteration parameters are taken as the correction result of the fuzzy boundary conditions of the ANSYS temperature field model. This invention improves the spatiotemporal resolution of the temperature field reconstruction results.
Need to check novelty before this filing date? Find Prior Art