Indian Space Research Organisation, VSSC, Trivandrum, Kerala, 695022, India.
Indian Institute of Science, Bangalore, Karnataka, 560012, India.
Sci Rep. 2021 Jul 29;11(1):15429. doi: 10.1038/s41598-021-94450-8.
Evidences are escalating on the diverse neurological-disorders and asymptomatic cardiovascular-diseases associated with COVID-19 pandemic due to the Sanal-flow-choking. Herein, we established the proof of the concept of nanoscale Sanal-flow-choking in real-world fluid-flow systems using a closed-form-analytical-model. This mathematical-model is capable of predicting exactly the 3D-boundary-layer-blockage factor of nanoscale diabatic-fluid-flow systems (flow involves the transfer of heat) at the Sanal-flow-choking condition. As the pressure of the diabatic nanofluid and/or non-continuum-flows rises, average-mean-free-path diminishes and thus, the Knudsen-number lowers heading to a zero-slip wall-boundary condition with the compressible-viscous-flow regime in the nanoscale-tubes leading to Sanal-flow-choking due to the sonic-fluid-throat effect. At the Sanal-flow-choking condition the total-to-static pressure ratio (ie., systolic-to-diastolic pressure ratio) is a unique function of the heat-capacity-ratio of the real-world flows. The innovation of the nanoscale Sanal-flow-choking model is established herein through the entropy relation, as it satisfies all the conservation-laws of nature. The physical insight of the boundary-layer-blockage persuaded nanoscale Sanal-flow-choking in diabatic flows presented in this article sheds light on finding solutions to numerous unresolved scientific problems in physical, chemical and biological sciences carried forward over the centuries because the mathematical-model describing the phenomenon of Sanal-flow-choking is a unique scientific-language of the real-world-fluid flows. The 3D-boundary-layer-blockage factors presented herein for various gases are universal-benchmark-data for performing high-fidelity in silico, in vitro and in vivo experiments in nanotubes.
由于桑纳流阻塞，与 COVID-19 大流行相关的各种神经紊乱和无症状心血管疾病的证据正在增加。在此，我们使用封闭形式解析模型在真实流体流动系统中建立了纳米级桑纳流阻塞的概念验证。该数学模型能够准确预测纳米级绝热流体流动系统（涉及热传递的流动）在桑纳流阻塞条件下的 3D 边界层阻塞因子。随着绝热纳米流体和/或非连续流的压力升高，平均自由程减小，因此，努森数降低，导致可压缩粘性流区中的纳米管壁边界条件接近零滑移，从而由于声流喉效应导致桑纳流阻塞。在桑纳流阻塞条件下，总静压比（即收缩压与舒张压之比）是真实世界流动热容比的唯一函数。纳米级桑纳流阻塞模型的创新之处在于通过熵关系建立，因为它满足自然的所有守恒定律。本文提出的绝热流中边界层阻塞的物理洞察力表明，桑纳流阻塞在解决物理、化学和生物科学领域数百年来未解决的科学问题方面具有重要意义，因为描述桑纳流阻塞现象的数学模型是真实世界流体流动的独特科学语言。本文提出的各种气体的 3D 边界层阻塞因子是在纳米管中进行高保真数值模拟、体外和体内实验的通用基准数据。
