A method for predicting and adjusting thickness of continuous hot-dip galvanized coating on strip steel
A technology of coating thickness and adjustment method, which is applied in hot-dip coating process, coating, metal material coating process, etc., and can solve the problems of lagging of the corresponding result of the adjustment amount and lagging of the adjustment of the coating thickness.
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[0036] 1 Take the hot-dip galvanizing production line of a steel plant as an example to establish a prediction model for coating thickness. First, collect sample data according to different specifications of coating thickness and perform linearization processing.
[0037] 180g / m 2 specification
[0038]
[0039]
[0040] 100g / m 2 specification
[0041]
[0042]
[0043] 120g / m 2 specification
[0044]
[0045]
[0046] 180g / m 2 specification
[0047]
[0048]
[0049] 276g / m 2 specification
[0050]
[0051]
[0052] 2 Multiple linear regression modeling. The data analysis software EXCE software is used for multiple linear regression analysis, the model parameters are estimated by the least square method, and the coating thickness prediction model is established.
[0053] Target plating thickness 80g / m 2 : CW 80 =0.731V 1.157 D 1.246 P -0.885
[0054] Target plating thickness 100g / m 2 : CW 100 =1.777V 0.979 D 0.942 P -0.801
[0055] Target plating thickness 120g / m 2 : CW 120 =1.619V 0.985...
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