Two-dimensional surface heat flux density real-time online measuring device and method

Abstract

The invention relates to a real-time online measuring device and method, in particular to a two-dimensional surface heat flux density real-time online measuring device and method. According to the technical scheme provided by the invention, the two-dimensional surface heat flux density real-time online measuring device comprises a base body and a base body temperature sensor capable of monitoringthe temperatures of multiple points of the base body, the base body temperature sensor is electrically connected with a measurement control calculation device through a data acquisition board card, and the measurement control calculation device can synchronously acquire the temperatures of multiple points of the base body monitored by the base body temperature sensor through the data acquisition board card; and the measurement control calculation device calculates and determines the surface multi-point heat flux density of the base body by adopting a two-dimensional filtering method after obtaining the multi-point temperature values of the base body. The online monitoring and measuring problems of the surface heat flux density of thermal conversion equipment such as boilers and internal combustion engines can be solved, and therefore optimization and development of related industrial processes are promoted.

Description

technical field [0001] The invention relates to a real-time on-line measurement device and method, in particular to a real-time on-line measurement device and method for two-dimensional surface heat flux. Background technique [0002] The surface heat flux represents the heat transfer per unit area and is an important parameter for evaluating heat transfer performance. Accurate measurement of heat flux is particularly important in industrial engineering applications such as space shuttle thermal protection, electronic equipment thermal management, metal heat treatment, boiler thermal protection, nuclear reactors, and spray cooling. In the field of industrial boilers and internal combustion engines, the heat flux density in the furnace or on the wall of the piston is an important parameter for judging the operation status of the equipment, which requires real-time online monitoring; in the field of transient spray cooling, the surface heat flux represents the cooling capacity...

AI Technical Summary

Problems solved by technology

2) Nonlinearity: The nonlinearity of the heat conduction problem itself is another challenge for solving IHCP. Nonlinearity is ubiquitous and unavoidable. The only way to minimize its impact on the solution process is through algorithms.

3), the amount of calculation is large: IHCP itself is a repeated iterative solution process of multiple positive problems, resulting in time-consuming calculations and difficulties in real-time output.

4) The multi-layer complex structure aggravates the nonlinearity of the heat conduction problem, making it difficult to directly solve the multi-layer IHCP

[0004] However, existing heat flux calculation methods such as sequential function method (Sequential Function Specification, SFS), transfer function method (Transfer Function, TR), conjugate gradient method (Conjugate Gradient, CG), singular value decomposition method (Singular Value Decomposition, SVD) and Duhamel's theorem (Duhamel) and other methods are difficult to solve the heat conduction inverse problem with a multi-layer complex structure, and most of the algorithms have a complicated solution process and a huge amount of calculation, making it difficult to realize online monitoring of surface heat flux

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