Method for detecting temperature field uniformity in gas-liquid two-phase mixing process

Abstract

The invention discloses a method for detecting temperature field uniformity in a gas-liquid two-phase mixing process. The method comprises the following steps: capturing a picture thermal image of gas-liquid two-phase mixing through a thermal infrared imager; calculating and analyzing the thermogram of the picture and establishing a uniformity detection model; calculating a temperature field uniformity factor through a uniformity detection model; calculating a gradient field uniformity factor through the temperature field uniformity factor; performing correlation analysis on the temperature field uniformity factor, the gradient field uniformity factor and the average volume heat transfer coefficient, and judging the strength of the gas-liquid two-phase mixing performance according to the correlation analysis. The method is simple in process, easy to operate and easy to popularize, and the method for researching the heat transfer effect through the temperature field can serve as an important alternative means for practical engineering application. Not only is relatively high precision realized, but also cost expenditure in a research experiment direction can be reduced, and the method has a very wide application prospect.

Description

technical field [0001] The present application relates to the field of metallurgy technology, in particular to a method for detecting the uniformity of the temperature field during the gas-liquid two-phase mixing process. Background technique [0002] Stirring and mixing, as a key operation widely used in chemical, pharmaceutical and biological fields, plays an important role in industrial processes. The chemicals are fully contacted and mixed to create conditions for flotation operations. However, there must be flow randomness and uncertainty in the stirring and mixing behavior, and uneven heat supply occurs during the stirring process. In 2014, Chu et al. used CFD to test the fluid flow maldistribution occurring on the inlet manifold of a high temperature heat exchanger using four different new designs. In the process of metallurgical top-blown gas-liquid mixing industrial experiments, uneven heating affects the temperature of the pipeline material layer, and poor unifor...

AI Technical Summary

Problems solved by technology

The digital image matrix is ​​to digitize the experimental image, fit the relevant research model, process the image-digital result according to the formula, and predict the data information required for gas stirring, so as to solve the quantitative problem of temperature field uniformity and efficiently judge the heat transfer effect. Provide a theoretical basis for studying the heat transfer problem of gas stirring and mixing

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