This article presents the blade coating analysis of viscous nanofluid passing over a porous substrate using a flexible blade coater. Water-based copper nanoparticles are considered to discuss the blade coating process. The lubrication approximation theory is applied to develop the flow equations. The analytical solution is obtained for velocity, volumetric flow rate, and pressure gradient, while shooting method is applied to obtain the pressure, thickness, and load. Different models for dynamic viscosity have been applied to observe the impact of related parameters on pressure, pressure gradient, and velocity. These results are presented graphically. Interesting engineering quantities such as load, deflection, and thickness are computed numerically and are shown in the tabulated form. It is found that nanoparticle volume fraction increases the pressure gradient, pressure and has minor effects on velocity. For model 1, an increase in the volume fraction reduces the coating thickness, load, and deflection, while model 2 has opposite effects on the mentioned quantities. Also, model 2 has a greater impact on pressure and pressure gradient when compared to model 1.

中文翻译：

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使用柔性刮刀涂布机对具有铜水纳米颗粒的粘性纳米流体进行刮刀涂层分析

本文介绍了使用柔性刮刀涂层机对通过多孔基材的粘性纳米流体进行刮刀涂层分析。水基铜纳米粒子被认为是讨论刀片涂层工艺。应用润滑近似理论来开发流动方程。得到速度、体积流量和压力梯度的解析解，同时采用打靶法得到压力、厚度和载荷。已应用不同的动力粘度模型来观察相关参数对压力、压力梯度和速度的影响。这些结果以图形方式呈现。有趣的工程量，如载荷、挠度和厚度，都是通过数值计算出来的，并以表格的形式显示出来。发现纳米颗粒体积分数增加了压力梯度、压力并且对速度的影响很小。对于模型 1，体积分数的增加会降低涂层厚度、载荷和挠度，而模型 2 对上述数量有相反的影响。此外，与模型 1 相比，模型 2 对压力和压力梯度的影响更大。