A surface with gradient surface energy was fabricated on a silicon wafer by using the chemical vapor deposition (CVD) technology with the dodecyltrichlorosilane (C12H25Cl3Si) vapor which was adsorbed chemically on the...A surface with gradient surface energy was fabricated on a silicon wafer by using the chemical vapor deposition (CVD) technology with the dodecyltrichlorosilane (C12H25Cl3Si) vapor which was adsorbed chemically on the surface of the silicon wafer to form a self-assemble monolayer (ASM); thus a gradient profile of wettability. The microscopic contours of the gradient surface were measured with Seiko SPA400 atom force microscope (AFM). And the surface wettability profile was characterized by the sessile drop method, measuring the contact angle of fine water droplets that lay on the gradient surface, to represent the distribution of the surface energy on the surface. Using a high-speed video imaging system, the motion of water droplet on the horizontal gradient surface was visualized; the transient velocity was measured under ambient condition. The experimental results show that the liquid droplets can be driven to move from hydrophobic side to hydrophilic side on the horizontal gradient surface; the velocity of droplet can reach up to 40 mm/s. In addition, the motion of the water droplet can be generally divided into two stages: an acceleration stage; a deceleration stage. The droplet presents a squirming movement on the surface with a lower peak velocity; a larger extent of deceleration motion. And the static advancing contact angle of the droplet is obviously larger than the dynamic advancing contact angle on the gradient energy surface.展开更多
为了提高处于超疏水状态下材料表面静态接触角测量的准确性,实现了1种将液滴顶点、倾斜程度和形状参数作为变量的鲁棒的轴对称液滴边缘形状分析(axisymmetric drop shape analysis-profile,ADSA-P)算法,并将其应用于超疏水材料憎水性检...为了提高处于超疏水状态下材料表面静态接触角测量的准确性,实现了1种将液滴顶点、倾斜程度和形状参数作为变量的鲁棒的轴对称液滴边缘形状分析(axisymmetric drop shape analysis-profile,ADSA-P)算法,并将其应用于超疏水材料憎水性检测。基于Young-Laplace方程仿真产生了不同体积、接触角、倾斜程度和顶点坐标的超疏水的水珠边缘,使用圆拟合算法、椭圆拟合算法与ADSA-P算法计算接触角,结果表明:随水珠体积与接触角增加,圆拟合算法与椭圆拟合算法拟合得到的边缘偏离仿真得到的液滴边缘,接触角计算误差增大,2种算法在该研究仿真设定的水珠体积和接触角范围内得到最大误差分别为-47.57°和-22.51°;ADSA-P算法在不同的水珠体积、接触角、倾斜程度和顶点坐标下拟合得到的边缘均能与仿真得到的水珠边缘非常符合,获得的接触角具有很高的准确性,误差<0.1°。基于实际超疏水材料水珠图像的接触角计算验证了圆与椭圆拟合算法误差较大而AD-SA-P算法准确性较高的分析结论。展开更多
基金supported by the National Natural Science Foundation of China(Grant No.50276072).
文摘A surface with gradient surface energy was fabricated on a silicon wafer by using the chemical vapor deposition (CVD) technology with the dodecyltrichlorosilane (C12H25Cl3Si) vapor which was adsorbed chemically on the surface of the silicon wafer to form a self-assemble monolayer (ASM); thus a gradient profile of wettability. The microscopic contours of the gradient surface were measured with Seiko SPA400 atom force microscope (AFM). And the surface wettability profile was characterized by the sessile drop method, measuring the contact angle of fine water droplets that lay on the gradient surface, to represent the distribution of the surface energy on the surface. Using a high-speed video imaging system, the motion of water droplet on the horizontal gradient surface was visualized; the transient velocity was measured under ambient condition. The experimental results show that the liquid droplets can be driven to move from hydrophobic side to hydrophilic side on the horizontal gradient surface; the velocity of droplet can reach up to 40 mm/s. In addition, the motion of the water droplet can be generally divided into two stages: an acceleration stage; a deceleration stage. The droplet presents a squirming movement on the surface with a lower peak velocity; a larger extent of deceleration motion. And the static advancing contact angle of the droplet is obviously larger than the dynamic advancing contact angle on the gradient energy surface.
文摘为了提高处于超疏水状态下材料表面静态接触角测量的准确性,实现了1种将液滴顶点、倾斜程度和形状参数作为变量的鲁棒的轴对称液滴边缘形状分析(axisymmetric drop shape analysis-profile,ADSA-P)算法,并将其应用于超疏水材料憎水性检测。基于Young-Laplace方程仿真产生了不同体积、接触角、倾斜程度和顶点坐标的超疏水的水珠边缘,使用圆拟合算法、椭圆拟合算法与ADSA-P算法计算接触角,结果表明:随水珠体积与接触角增加,圆拟合算法与椭圆拟合算法拟合得到的边缘偏离仿真得到的液滴边缘,接触角计算误差增大,2种算法在该研究仿真设定的水珠体积和接触角范围内得到最大误差分别为-47.57°和-22.51°;ADSA-P算法在不同的水珠体积、接触角、倾斜程度和顶点坐标下拟合得到的边缘均能与仿真得到的水珠边缘非常符合,获得的接触角具有很高的准确性,误差<0.1°。基于实际超疏水材料水珠图像的接触角计算验证了圆与椭圆拟合算法误差较大而AD-SA-P算法准确性较高的分析结论。
