Influence of surface tension-driven network parameters on backflow strength
نویسندگان
چکیده
منابع مشابه
Surface Tension Prediction of Hydrocarbon Mixtures Using Artificial Neural Network
In this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. Experimental data was divided into two parts (70% for training and 30% for testing). Optimal configuration of the network was obtained with minimization of prediction error on testing data. The accuracy of our proposed model was compared with four well-known empirical equations. The arti...
متن کاملInfluence of Backflow on Roton Quantum Evaporation
Sobnack et al. recently investigated theoretically the effect of roton backflow on the scattering of atoms, rotons, and phonons at the free surface of superfluid helium-II at T = 0K. They treated backflow semi-phenomenologically by modifying the potential in their earlier theory. This paper compares their predictions for the wave-vector dependence of roton quantum-evaporation with time-resolved...
متن کاملSurface tension-driven self-alignment.
Surface tension-driven self-alignment is a passive and highly-accurate positioning mechanism that can significantly simplify and enhance the construction of advanced microsystems. After years of research, demonstrations and developments, the surface engineering and manufacturing technology enabling capillary self-alignment has achieved a degree of maturity conducive to a successful transfer to ...
متن کاملthe influence of edm parameters in finishing stage on surface quality using artificial neural network
in this work, the influence of different edm parameters (pulse current, pulse voltage, pulse on-time , pulse off-time) in finishing stage on the surface roughness (r a ) as a result of application copper electrode to a workpiece( cold work steel din1.2379) has been investigated. design of the experiment was chosen as full factorial. statistical analysis has been done and artificial neural n...
متن کاملMeasurement of a structured backflow in an open small channel induced by surface-tension gradients.
We present experiments in which the laterally confined flow of a surfactant film driven by controlled surface tension gradients causes the subtended liquid layer to self-organize into an inner upstream microduct surrounded by the downstream flow. The anomalous interfacial flow profiles and the concomitant backflow are a result of the feedback between two-dimensional and three-dimensional microf...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: RSC Advances
سال: 2019
ISSN: 2046-2069
DOI: 10.1039/c8ra09756a