Multi-scale nonlinear singular limit for thermal non-equilibrium gas flow with multiple non-equilibrium modes for analytic data in multi-dimensions with physical boundaries

2020 ◽  
Vol 61 (10) ◽  
pp. 101512
Author(s):  
Tao Luo ◽  
Yan-Lin Wang

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1095
Author(s):  
Andrew J. E. Seely

Understanding how nature drives entropy production offers novel insights regarding patient care. Whilst energy is always preserved and energy gradients irreversibly dissipate (thus producing entropy), increasing evidence suggests that they do so in the most optimal means possible. For living complex non-equilibrium systems to create a healthy internal emergent order, they must continuously produce entropy over time. The Maximum Entropy Production Principle (MEPP) highlights nature’s drive for non-equilibrium systems to augment their entropy production if possible. This physical drive is hypothesized to be responsible for the spontaneous formation of fractal structures in space (e.g., multi-scale self-similar tree-like vascular structures that optimize delivery to and clearance from an organ system) and time (e.g., complex heart and respiratory rate variability); both are ubiquitous and essential for physiology and health. Second, human entropy production, measured by heat production divided by temperature, is hypothesized to relate to both metabolism and consciousness, dissipating oxidative energy gradients and reducing information into meaning and memory, respectively. Third, both MEPP and natural selection are hypothesized to drive enhanced functioning and adaptability, selecting states with robust basilar entropy production, as well as the capacity to enhance entropy production in response to exercise, heat stress, and illness. Finally, a targeted focus on optimizing our patients’ entropy production has the potential to improve health and clinical outcomes. With the implications of developing a novel understanding of health, illness, and treatment strategies, further exploration of this uncharted ground will offer value.



2013 ◽  
Vol 46 (46) ◽  
pp. 464006 ◽  
Author(s):  
Keigo Takeda ◽  
Masanori Kato ◽  
Fengdong Jia ◽  
Kenji Ishikawa ◽  
Hiroyuki Kano ◽  
...  


2013 ◽  
Vol 13 (5) ◽  
pp. 1330-1356 ◽  
Author(s):  
G. H. Tang ◽  
G. X. Zhai ◽  
W. Q. Tao ◽  
X. J. Gu ◽  
D. R. Emerson

AbstractGases in microfluidic structures or devices are often in a non-equilibrium state. The conventional thermodynamic models for fluids and heat transfer break down and the Navier-Stokes-Fourier equations are no longer accurate or valid. In this paper, the extended thermodynamic approach is employed to study the rarefied gas flow in microstructures, including the heat transfer between a parallel channel andpressure-driven Poiseuille flows through a parallel microchannel andcircular microtube. The gas flow characteristics are studied and it is shown that the heat transfer in the non-equilibrium state no longer obeys the Fourier gradient transport law. In addition, the bimodal distribution of streamwise and spanwise velocity and temperature through a long circular microtube is captured for the first time.



2020 ◽  
Vol 10 (17) ◽  
pp. 5847-5855
Author(s):  
Minttu M. Kauppinen ◽  
Marko M. Melander ◽  
Karoliina Honkala

Kinetic and thermodynamic stability of single-atom and nanocluster catalysts is addressed under reaction conditions within a DFT-parametrised multi-scale thermodynamic framework combining atomistic, non-equilibrium, and nanothermodynamics.



PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106638 ◽  
Author(s):  
William T. Bean ◽  
Robert Stafford ◽  
H. Scott Butterfield ◽  
Justin S. Brashares


2020 ◽  
Vol 907 ◽  
Author(s):  
Yangyang Shi ◽  
Lei Wu ◽  
Xiaowen Shan

Abstract



1980 ◽  
Vol 35 (11) ◽  
pp. 1166-1170
Author(s):  
V. D. Sharma ◽  
Radhe Shyam

Abstract A shock wave is assumed to exist in a three-dimensional unsteady flow of a relaxing gas. The variation of flow parameters at any point behind the shock surface is determined in terms of the shock geometry and the upstream flow conditions. The expressions for the vorticity and the curvature of a streak line at the rear of the shock surface are also determined in terms of the known quantities.



2020 ◽  
Vol 64 (11) ◽  
pp. 143-148
Author(s):  
Maria S. Lisanevich ◽  
◽  
Reseda Yu. Galimzyanova ◽  
Rustem G. Ibragimov ◽  
◽  
...  

Nonwovens (nonwovens) are widely used in medicine, for the manufacture of medical linen, sanitary and hygienic items, medical clothing, surgical materials (including dressings). The rapid development of the clothing market requires domestic manufacturers to be competitive not only through new products and technologies, but also new sensations for the consumer, provided that the price is competitive. According to medical workers, disposable surgical gowns based on spunmelt materials give a feeling of discomfort during use. One and relatively new method for modifying nanomaterials is treatment with nonequilibrium low-temperature plasma (NLTP). The main advantage of this type of material modification is the environmental friendliness of the method, as in the process of processing aqueous solutions of chemicals are not used, as in the case of using special impregnations. Modern research of medical services. As a result of the work, it was revealed that the modification of NM NNTP allows you to change the NM for changes in surface, physical and mechanical, as well as consumer properties, while maintaining the strength characteristics. It is shown that after plasma treatment spunmelt materials increase such consumer characteristics as air permeability, hygroscopicity, while maintaining the strength during elongation; reduction of material stiffness during bending. It was also found that after the processing of NTPP, the electrification rate increases within the normal range, in GOST 12.1.045-84. Manufacturers are recommended to process spunmelt material with non-equilibrium low-temperature plasma on a high-frequency capacitive plasma installation with a power of Wp = 1.5 kW, processing time τ = 180 s and pressure P = 21.5 Pa. Use argon gas with a gas flow of 1500 cm3/min as a plasma-forming gas.



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