Open AccessResearch on Solve of Heat Transfer Coefficients and Experimental of the Heavy Plate in laminar cooling process
Author(s) -
Junlin Wang,
Zhi Xie,
Wenhong Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/2/022115
Subject(s) - heat transfer coefficient , laminar flow , heat transfer , thermodynamics , particle swarm optimization , process (computing) , mechanics , materials science , mathematics , physics , computer science , mathematical optimization , operating system
Heat transfer model is the premise of adjusting cooling control strategy in laminar cooling process. The accuracy of heat transfer coefficient directly affects the accuracy of the temperature model. However the accuracy of heat transfer coefficient is difficult to determine. In this paper, the model of heat transfer coefficient is solved by using chaos particle swarm optimization algorithm. The experimental system was designed and the temperature drop of the points in the plate was measured in laminar cooling process. Compared with the experimental results, the average error of the measurement points is 5.2°C, and the standard uncertainty is 1.4°C. It is proved that the calculation method of heat transfer coefficient is better than empirical formula at the same cooling condition.