numerical predictions
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2022 ◽  
Vol 62 (1) ◽  
pp. 101101
Author(s):  
Ruben R. Vargas ◽  
Zhiyuan Tang ◽  
Kyohei Ueda ◽  
Ryosuke Uzuoka

LWT ◽  
2022 ◽  
Vol 155 ◽  
pp. 112888
Author(s):  
Juzhong Tan ◽  
Jiyoon Yi ◽  
Xu Yang ◽  
Hyosik Lee ◽  
Nitin Nitin ◽  
...  

JOM ◽  
2022 ◽  
Author(s):  
Md Tusher Mollah ◽  
Raphaël Comminal ◽  
Marcin P. Serdeczny ◽  
David B. Pedersen ◽  
Jon Spangenberg

2022 ◽  
Vol 26 (1) ◽  
pp. 1-14
Author(s):  
Dalmn Y. Taha ◽  
◽  
Dhamyaa S. Khudhur ◽  
Layla M. Nassir ◽  
◽  
...  

In this paper, a statistical analysis was applied to the numerical predictions of temperature distribution for the heat sinks. There are two types of heat sink with an array of impingement. The first type is a flat plate heat sink, and the second type is arcs-fins heat sinks. The second type category considers five models (A, B, C, D, and E). The shapes of fins were changed, but the thickness, distance between fins, and radius were held fixed for comparing and analyzing them depending upon the improvement of the fin geometry of heat sink. The heat sinks of the two types are subjected to multi impinging flow at different Reynolds numbers (7000-11000). Thermodynamic and hydraulic results were collected. The best model was calculated through a statistical analysis. The efficiency of an arcs-fin heat sink was superior to that of the flat plate heat sink. The findings of Model D were more appropriate than those of the other models. The concave arc near the heat sink's exit (model D) created better effect than the convex arc (model E), despite the fact that the (model D) shape fins being identical to (model E) shape fins (only rotated 180° at the same location). However, Descriptive Statistics manifested that in all situations, the mean temperature for (model D) is better than (model E). The results of comparison between the flat plate heat sink and models (D and E) evinced that the average heat sink temperature in the suggested design reduced via 12%, 8%, while the (model E) decreased by 12%, 7% for Re (7000, 9000), respectively. In addition, the two models maintained the same percentage of (8% and 7%) improvement at Re (11000). The correlation coefficient between the flat plate and the arcs-fins heat sink for model B has the highest value (0.809), while model A has the lowest value of correlation (0.673).


Photonics ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Bin-Kai Liao ◽  
Chin-Hao Tseng ◽  
Yu-Chen Chu ◽  
Sheng-Kwang Hwang

This study investigates the effects of asymmetric coupling strength on nonlinear dynamics of two mutually long-delay-coupled semiconductor lasers through both experimental and numerical efforts. Dynamical maps and spectral features of dynamical states are analyzed as a function of the coupling strength and detuning frequency for a fixed coupling delay time. Symmetry in the coupling strength of the two lasers, in general, symmetrizes their dynamical behaviors and the corresponding spectral features. Slight to moderate asymmetry in the coupling strength moderately changes their dynamical behaviors from the ones when the coupling strength is symmetric, but does not break the symmetry of their dynamical behaviors and the corresponding spectral features. High asymmetry in the coupling strength not only strongly changes their dynamical behaviors from the ones when the coupling strength is symmetric, but also breaks the symmetry of their dynamical behaviors and the corresponding spectral features. Evolution of the dynamical behaviors from symmetry to asymmetry between the two lasers is identified. Experimental observations and numerical predictions agree not only qualitatively to a high extent but also quantitatively to a moderate extent.


Author(s):  
Mohammad Salahi Nezhad ◽  
Dimosthenis Floros ◽  
Fredrik Larsson ◽  
Elena Kabo ◽  
Anders Ekberg

2022 ◽  
Vol 9 (1) ◽  
pp. 110-116
Author(s):  
Galon et al. ◽  

Escherichia coli and Candida auris are not easy to identify in laboratories without special technology. In this study, we have presented microfluidic designs for trapping bacteria and fungi. Two trapping chambers are designed using AutoCAD and the fluid dynamics of the bacteria and fungi are simulated using D. Schroeder’s Fluid Dynamics Simulation software. The designs are modified versions of a device that is constructed and simulated with numerical predictions, which include sizes and apertures in consideration of the specified microbe. The current designs take into account the exact dimensions of E. coli and C. auris under fluid flow and passive microfluidic technique, where actuation is based on geometry, is considered. The measurements of the design ensure that the species are to be trapped due to diffusion and ¬¬fluid dynamics. From the simulation, the stagnation is to be shown with its default setting, and approximation is done in its motion which is simulated in the two-dimensional space of the bacteria and fungi. The microfluidic designs will be useful during experiments in deciphering necessary information of the bacteria and fungi and will be a platform in modeling numerous biomedical assays and in the optimization of biophysical tools.


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