Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tejaswi Soori"'
Publikováno v:
Physical Review Fluids. 7
Autor:
Firas Al-Hindawi, Tejaswi Soori, Han Hu, Md. Mahfuzur Rahman Siddiquee, Hyunsoo Yoon, Teresa Wu, Ying Sun
The detection of critical heat flux (CHF) is crucial in heat boiling applications as failure to do so can cause rapid temperature ramp leading to device failures. Many machine learning models exist to detect CHF, but their performance reduces signifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0946cc4ff5011e411f9683a72acd0f54
Autor:
Thomas Ward, Tejaswi Soori
Publikováno v:
Journal of Colloid and Interface Science. 539:45-53
Hypothesis In this manuscript we examine the stability of an evaporating-unbounded axisymmetric liquid bridge confined between parallel-planar similar or chemically different substrates using both theory and experiments. With a quasistatic assumption
Publikováno v:
Physical Review Fluids. 6
Drop impact with a smooth surface can produce a dimple mode of contact due to a combined effect of a capillary wave and a thin film instability.
Publikováno v:
International Journal of Heat and Mass Transfer. 186:122501
Publikováno v:
Physics of Fluids. 33:092110
Air film evolution underneath a drop impacting on a surface can cause the drop to either bounce off or make contact. Water drops impacting on a dry surface exhibited a transition from bouncing to the kink and film modes of contact. Additionally, a di
Publikováno v:
Fluid Phase Equilibria. 538:113012
An image-based machine learning (ML) method is introduced to predict the surface tension of an ethanol-water pendant drop made of unknown ethanol-water composition. In contrast to previous neural-network based surface tension predictors that rely on
Autor:
Firas Al-Hindawi, Ying Sun, Teresa Wu, Tejaswi Soori, Seyed Moein Rassoulinejad-Mousavi, Han Hu, Arif Rokoni, Hyunsoo Yoon
Publikováno v:
Applied Thermal Engineering. 190:116849
Image-based deep learning (DL) models are employed to enable the detection of critical heat flux (CHF) based on pool boiling experimental images. Most machine learning approaches for pool boiling to date focus on a single dataset under a certain heat
Autor:
Tejaswi Soori, Thomas Ward
Publikováno v:
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 596:124664
In this manuscript we examine the stability of an evaporating-bounded axisymmetric liquid bridge confined between parallel-planar similar substrates by using both theory and experiments. From classical stability analysis appearing in the literature i