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The influence of impregnation spin coating process parameters on coating thickness is simulated and analyzed by factorial design method

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Document pages: 10 pages

Abstract: A 24 factor design was used to predict the coating thickness in the range of 4-10 with the center point. A statistical modeling was developed to describe the dip spin coating process of colloidal PTFE dispersed coating on the outer surface of small-diameter hollow pipe μ m。 The coating parameters include viscosity, extraction rate, rotating speed and soaking time. The adequacy of the prediction model is verified by determining the coefficient and insufficient fitting test. The accuracy of the model is verified by comparing the predicted value with the experimental results. The three-dimensional interaction among extraction rate, rotation speed and soaking time, and the two-way interaction between viscosity and extraction rate, viscosity and rotation speed and viscosity have a significant impact on the coating thicknessand immersion time. Cube plot for coating thickness reveals a trend of increasing coating thickness towards high levels of viscosity, withdrawal rate, and immersion time and lower level of spin speed.

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