Lubrication with Non-Newtonian Fluids

IF 4.4 2区 物理与天体物理 Q2 PHYSICS, APPLIED
B. Veltkamp, J. Jagielka, K. Velikov, D. Bonn
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引用次数: 3

Abstract

Hydrodynamic lubrication is studied for both shear thinning and viscoelastic polymer solutions. We find that elasticity, notably strong normal stresses, does not change the friction significantly for the range of parameters tested in this manuscript. Shear-thinning properties, on the other hand, do change the formation of the lubricating layer thickness and the dependence of friction on velocity relative to Newtonian fluids. A hydrodynamic model that includes shear thinning is developed and compared to experimental data. The model describes the dependence on lubrication parameters well, but underestimates the lubricating layer thickness by a constant factor of roughly 1.5. The theory allows us to define a Hersey-like number for shear-thinning fluids that describes the lubricating layer thickness as a result of the balance between normal load and viscous force. For each tested liquid it succeeds in collapsing friction measurements onto the same curve. The friction analysis for both lubrication theory and experiments then reveals that shear thinning mainly changes the layer thickness, which is the main determinant of the friction coefficient.
非牛顿流体润滑
研究了剪切稀化和粘弹性聚合物溶液的流体动力润滑。我们发现,在本文测试的参数范围内,弹性,特别是强法向应力,不会显著改变摩擦。另一方面,剪切减薄特性确实改变了润滑层厚度的形成以及摩擦对速度相对于牛顿流体的依赖性。建立了包括剪切减薄在内的流体动力学模型,并与实验数据进行了比较。该模型很好地描述了对润滑参数的依赖性,但低估了润滑层厚度约1.5的常数。该理论使我们能够定义剪切减薄流体的类赫西数,该数描述了法向载荷和粘性力之间平衡后的润滑层厚度。对于每种测试的液体,它都能成功地将摩擦测量值折叠到同一条曲线上。润滑理论和实验的摩擦分析表明,剪切减薄主要改变层厚度,这是摩擦系数的主要决定因素。
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来源期刊
Physical Review Applied
Physical Review Applied PHYSICS, APPLIED-
CiteScore
7.80
自引率
8.70%
发文量
760
审稿时长
2.5 months
期刊介绍: Physical Review Applied (PRApplied) publishes high-quality papers that bridge the gap between engineering and physics, and between current and future technologies. PRApplied welcomes papers from both the engineering and physics communities, in academia and industry. PRApplied focuses on topics including: Biophysics, bioelectronics, and biomedical engineering, Device physics, Electronics, Technology to harvest, store, and transmit energy, focusing on renewable energy technologies, Geophysics and space science, Industrial physics, Magnetism and spintronics, Metamaterials, Microfluidics, Nonlinear dynamics and pattern formation in natural or manufactured systems, Nanoscience and nanotechnology, Optics, optoelectronics, photonics, and photonic devices, Quantum information processing, both algorithms and hardware, Soft matter physics, including granular and complex fluids and active matter.
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