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Modeling and Measurement on the Sliding Behavior of Microgrooved Surfaces.
He, Liang; Sun, Yongyang; Sui, Xin; Wang, Zhefeng; Liang, Wenyan.
Afiliación
  • He L; College of Aerospace and Civil Engineering , Harbin Engineering University , Nantong Street , Harbin 150001 , China.
  • Sun Y; AVIC Xi'an Aircraft Industry (Group) Company Ltd. , Xifei Road , Xi'an 710089 , China.
  • Sui X; Department of Bioresource Engineering , McGill University , 21111 Lakeshore Road , Sainte-Anne-de-Bellevue , QC H9X 3V9 , Canada.
  • Wang Z; College of Aerospace and Civil Engineering , Harbin Engineering University , Nantong Street , Harbin 150001 , China.
  • Liang W; College of Aerospace and Civil Engineering , Harbin Engineering University , Nantong Street , Harbin 150001 , China.
Langmuir ; 35(43): 14133-14140, 2019 Oct 29.
Article en En | MEDLINE | ID: mdl-31573206
ABSTRACT
The sliding behavior of anisotropic surfaces is a crucial property to their applications from fundamental research to practical fields. Herein, we propose a theoretical model for analyzing the sliding behavior based on the concept of adhesion energy. Surface Evolver simulation is conducted to determine the adhesion energy per unit area. The microgrooved surfaces are fabricated and characterized to validate the proposed theory. It is found that the apparent contact angle measured along the direction parallel to the strips increases with the increase of microgroove width, while the corresponding sliding angles exhibit an opposite trend. The adhesion energy per unit area has a constant value regardless of the droplet volume. The different sliding behaviors of anisotropic surfaces along the perpendicular and parallel directions are attributed to the difference in the corresponding adhesion energies per unit area. The proposed model is expected to be used for predicting the sliding behavior of anisotropic surfaces.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Langmuir Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Langmuir Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China