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Early-Stage Liquid Infiltration in Nanoconfinements.
Datta, Deeptayan; Agarwal, Abhishek Kumar; Hu, Han; Chakraborty, Monojit; DasGupta, Sunando.
Afiliação
  • Datta D; Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur - 721302, India.
  • Agarwal AK; Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur - 721302, India.
  • Hu H; Department of Mechanical Engineering, University of Arkansas, Fayetteville, Arkansas 72701, United States.
  • Chakraborty M; Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur - 721302, India.
  • DasGupta S; Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur - 721302, India.
Langmuir ; 39(9): 3301-3311, 2023 Mar 07.
Article em En | MEDLINE | ID: mdl-36802633
ABSTRACT
Liquid infiltration is one of the commonly adapted flow mechanisms in microscale/nanoscale heat-transfer applications. The theoretical modeling of dynamic infiltration profile in the microscale/nanoscale requires a deep study, because the acting forces are entirely different from those of a large-scale system. Herein, a model equation is developed from the fundamental force balance at the microscale/nanoscale level, to capture the dynamic infiltration flow profile. Molecular kinetic theory (MKT) is used to predict the dynamic contact angle. Molecular dynamics (MD) simulations are performed to study the capillary infiltration in two different geometries. The infiltration length is computed from the simulation results. The model is also evaluated over surfaces having different surface wettability. The generated model provides a better estimation of the infiltration length, compared to the well-established models. The developed model is expected to aid in the designing of microscale/nanoscale devices where liquid infiltration plays a key role.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article