JIANG Hua-yi,ZHANG Yi-xiang,LIANG Ai-guo,QI Hong-yuan.Influencing Factors and Prediction Model of Material Surface Wettability[J],47(1):60-65
Influencing Factors and Prediction Model of Material Surface Wettability
Received:July 22, 2017  Revised:January 20, 2018
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DOI:10.16490/j.cnki.issn.1001-3660.2018.01.010
KeyWord:wettability  uniform design  SPSS software  contact angle  prediction model
           
AuthorInstitution
JIANG Hua-yi Xi'an Shiyou University, Xi'an , China
ZHANG Yi-xiang 1.Xi'an Shiyou University, Xi'an , China; 2.China University of Petroleum East China, Qingdao , China
LIANG Ai-guo 1st Oil Extraction Plant, Xinjiang Oil Field, Kelamayi , China
QI Hong-yuan Xinan Shiyou University, Chengdu , China
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Abstract:
      The work aims to predict wettability of surfaces between different liquids and materials. Nine different panels and fourteen kinds of experimental liquids were selected, experimental materials of different roughness and surface energy were obtained by sanding all panels with 60—1200 pieces of sandpaper. Effects of liquid surface tension, solid roughness and solid surface energy were studied in control variable method, based on which uniform design experiment involving three factors at ten levels was carried out, and the experimental results were linearly analyzed with SPSS software. Under the effect of different kinds of liquids, contact angle increased along with the increase of liquid tension in the same liquid, and the surface tension of distilled water was the maximum (70.13 mN/m), its contact angle in the three materials was the maximum as well. When roughness of the material surfaces was the same, the contact angle decreased as surface energy increased, and the solid surface energy reached peak value (67.72 mJ/m2) when the contact angle was the minimum (25.1°). Obviously, the roughness played a contrary role on contact angle as the roughness increased on the material surface of the same surface energy, that is, the contact angle increased continuously with the increase of roughness when θ>90° and decreased with the increase of roughness when θ<90°. The predication model of contact angle was obtained based upon uniform design. The theoretical model showed that the liquid surface tension was the most important factor, followed by solid surface, and roughness the last. Quantitative relation between contact angle and its influencing factors is obtained by fitting with SPSS software, which can provide theoretical guidance on model selection of tubing and liquid on site, and further reduce resistance loss during delivery process effectively.
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