Drop impact and capture on a thin flexible fiber

Soft Matter ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Jean Comtet ◽  
Bavand Keshavarz ◽  
John W. M. Bush
Keyword(s):  
Drop Impact ◽  
Capture Efficiency ◽  
Drop Deformation ◽  
Flexible Fiber ◽  
Complex Dependence ◽  
Fiber Flexibility

The interaction between fiber oscillations and drop deformation leads to a complex dependence of drop capture efficiency on fiber flexibility.

scholarly journals Video: Drop impact on flexible fiber

2015 ◽  
Author(s):  
Emilie Dressaire ◽  
Alban Sauret ◽  
Francois Boulogne ◽  
Howard Stone
Keyword(s):  
Drop Impact ◽  
Flexible Fiber

scholarly journals Drop Impact on Textile Material: Effect of Fabric Properties

2014 ◽  
Vol 14 (3) ◽  
pp. 145-151 ◽  
Author(s):  
Zouhaier Romdhani ◽  
Ayda Baffoun ◽  
Mohamed Hamdaoui ◽  
Sadok Roudesli
Keyword(s):  
Water Drop ◽  
Free Fall ◽  
Spreading Rate ◽  
Drop Impact ◽  
Drop Deformation ◽  
Coating Film ◽  
Drop Shape ◽  
Coated Fabric ◽  
Fabric Construction ◽  
The Impact

Abstract This paper presents an experimental study of impact of water drop on a surface in a spreading regime with no splashing. Three surfaces were studied: virgin glass, coating film and woven cotton fabric at different construction parameters. All experiments were carried out using water drop with the same free fall high. Digidrop with high-resolution camera is used to measure the different parameters characterising this phenomenon. Results show an important effect of the height of the free fall on the drop profile and the spreading behaviour. An important drop deformation at the surface impact was observed. Then, fabric construction as the weft count deeply affects the drop impact. For plain weave, an increase of weft count causes a decrease in penetration and increase in the spreading rate. The same result was obtained for coated fabric. Therefore, the impact energy was modified and the drop shape was affected, which directly influenced the spreading rate.

scholarly journals Drop impact on a flexible fiber

Soft Matter ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 200-208 ◽  
Author(s):  
Emilie Dressaire ◽  
Alban Sauret ◽  
François Boulogne ◽  
Howard A. Stone
Keyword(s):  
Drop Impact ◽  
Capillary Effects ◽  
Flexible Fiber

The capture or release of a droplet impacting a flexible fiber depends on elastic and capillary effects.

A Case report of Bronchopathia Chondroplastica, Diagnosed by Flexible Fiber-bronchoscopic examination

1973 ◽  
Vol 24 (3) ◽  
pp. 126-131
Author(s):  
Hideo Kato ◽  
Susumu Nakamura ◽  
Kosyu Nagao ◽  
Eikichi Ikeguchi
Keyword(s):  
Case Report ◽  
Flexible Fiber

Reply to “Comments on ‘Energy Dissipation During Water Drop Impact In Shallow Pools’”

1986 ◽  
Vol 50 (6) ◽  
pp. 1644-1645
Author(s):  
Alfredo G. Ferreira ◽  
Bruce E. Larock ◽  
Michael J. Singer
Keyword(s):  
Energy Dissipation ◽  
Water Drop ◽  
Drop Impact

scholarly journals Bayesian graphical models for modern biological applications

2021 ◽  
Author(s):  
Yang Ni ◽  
Veerabhadran Baladandayuthapani ◽  
Marina Vannucci ◽  
Francesco C. Stingo
Keyword(s):  
Graphical Models ◽  
Cancer Genomics ◽  
Graph Structure ◽  
Biological Processes ◽  
Limited Sample ◽  
Large Networks ◽  
Bayesian Approaches ◽  
Complex Sampling ◽  
Complex Dependence ◽  
Bayesian Graphical Models

AbstractGraphical models are powerful tools that are regularly used to investigate complex dependence structures in high-throughput biomedical datasets. They allow for holistic, systems-level view of the various biological processes, for intuitive and rigorous understanding and interpretations. In the context of large networks, Bayesian approaches are particularly suitable because it encourages sparsity of the graphs, incorporate prior information, and most importantly account for uncertainty in the graph structure. These features are particularly important in applications with limited sample size, including genomics and imaging studies. In this paper, we review several recently developed techniques for the analysis of large networks under non-standard settings, including but not limited to, multiple graphs for data observed from multiple related subgroups, graphical regression approaches used for the analysis of networks that change with covariates, and other complex sampling and structural settings. We also illustrate the practical utility of some of these methods using examples in cancer genomics and neuroimaging.

Drop impact on solids: contact-angle hysteresis filters impact energy into modal vibrations

2021 ◽  
Vol 923 ◽  
Author(s):  
Vanessa R. Kern ◽  
Joshua B. Bostwick ◽  
Paul H. Steen
Keyword(s):  
Contact Angle ◽  
Impact Energy ◽  
Contact Angle Hysteresis ◽  
Drop Impact

Abstract

scholarly journals A Numerical Study of the Effect of Particle Size on Particle Deposition on Turbine Vanes and Blades

2021 ◽  
Vol 13 (5) ◽  
pp. 168781402110178
Author(s):  
Zhengang Liu ◽  
Weinan Diao ◽  
Zhenxia Liu ◽  
Fei Zhang
Keyword(s):  
Particle Size ◽  
Particle Deposition ◽  
Numerical Study ◽  
Stokes Number ◽  
Capture Efficiency ◽  
Particle Capture ◽  
Factors Affecting ◽  
Pressure Surface ◽  
Deposition Area ◽  
Turbine Vanes

Particle deposition could decrease the aerodynamic performance and cooling efficiency of turbine vanes and blades. The particle motion in the flow and its temperature are two important factors affecting its deposition. The size of the particle influences both its motion and temperature. In this study, the motion of particles with the sizes from 1 to 20 μm in the first stage of a turbine are firstly numerically simulated with the steady method, then the particle deposition on the vanes and blades are numerically simulated with the unsteady method based on the critical viscosity model. It is discovered that the particle deposition on vanes mainly formed near the leading and trailing edge on the pressure surface, and the deposition area expands slowly to the whole pressure surface with the particle size increasing. For the particle deposition on blades, the deposition area moves from the entire pressure surface toward the tip with the particle size increasing due to the effect of rotation. For vanes, the particle capture efficiency increases with the particle size increasing since Stokes number and temperature of the particle both increase with its size. For blades, the particle capture efficiency increases firstly and then decreases with the particle size increasing.

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