Li Qian-Ping, Ouyang Yi, Niu Xiao-Dong, Jiang Youhua, Wen Ming-Fu, Li Ze-Qin, Chen Mu-Feng, Li De-Cai, Yamaguchi Hiroshi
Key Laboratory of Intelligent Manufacturing Technology, MOE, Shantou University, 243 Daxue Road, Shantou 515063, Guangdong, China.
College of Engineering, Shantou University, 243 Daxue Road, Shantou 515063, Guangdong, China.
Langmuir. 2022 Mar 1;38(8):2601-2607. doi: 10.1021/acs.langmuir.1c03272. Epub 2022 Feb 18.
This article investigates the maximum spreading of ferrofluid droplets impacting on a hydrophobic surface under nonuniform magnetic fields. A generalized model for scaling the maximum spreading is developed. It is observed that, if the magnetic field strength is zero, a ferrofluid droplet not only demonstrates similar spreading dynamics as the water droplet but also obeys the same scaling law for the maximum spreading factor. Therefore, this article emphasizes the effects of magnetic field strength. In this regard, a dimensionless parameter () is introduced as the ratio between inertial force and Kelvin force, with an assumption that the kinetic energy mainly transforms to thermal energy. This parameter allows us to rescale all experimental data on a single curve with the Padé approximant, which is applicable to a wide range of impact velocities and magnetic field strengths.
本文研究了非均匀磁场作用下铁磁流体液滴撞击疏水表面时的最大铺展情况。建立了一个用于缩放最大铺展的广义模型。研究发现,如果磁场强度为零,铁磁流体液滴不仅表现出与水滴相似的铺展动力学,而且遵循相同的最大铺展因子缩放定律。因此,本文强调了磁场强度的影响。在这方面,引入了一个无量纲参数()作为惯性力与开尔文力的比值,并假设动能主要转化为热能。该参数使我们能够用帕德近似将所有实验数据重新缩放到一条曲线上,该近似适用于广泛的撞击速度和磁场强度范围。