Roughness and topology of ultra-hydrophobic surfaces

Kijlstra, Johan; Reihs, Karsten; Klamt, Andreas

doi:10.1016/s0927-7757(02)00089-4

Cited by 129 publications

(70 citation statements)

References 24 publications

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“…Physical reasons for the CAH are still debated in the literature, but surface roughness and inhomogeneity are believed to be responsible for the almost universal occurrence of the CAH (Israelachvili 1992). In addition to high CA and low CAH, another wetting property of interest for liquid flow applications is a very low water roll-off angle or tilt angle (TA), which denotes the angle to which a surface may be tilted for roll off of water droplets (Extrand 2002(Extrand , 2006Kijlstra et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Towards optimization of patterned superhydrophobic surfaces

Bhushan

Nosonovsky

Jung

2007

J. R. Soc. Interface.

141

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Experimental and theoretical study of wetting properties of patterned Si surfaces with cylindrical flat-top pillars of various sizes and pitch distances is presented. The values of the contact angle (CA), contact angle hysteresis (CAH) and tilt angle (TA) are measured and compared with the theoretical values. Transition from the composite solid-liquid-air to the homogeneous solid-liquid interface is investigated. It is found that the wetting behaviour of a patterned hydrophobic surface depends upon a simple non-dimensional parameter, the spacing factor, equal to the pillar diameter divided by the pitch. The spacing factor controls the CA, CAH and TA in the composite interface regime, as well as destabilization and transition to the homogeneous interface. We show that the assumption that the CAH is a consequence of the adhesion hysteresis and surface roughness leads to the theoretical values of the CAH that are in a reasonably good agreement with the experimental values. By decreasing the spacing factor, the values of CAZ1708, CAHZ58 and TAZ38 are achieved. However, with further decreasing of the spacing factor, the composite interface destabilizes.

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Section: Introductionmentioning

confidence: 99%

Towards optimization of patterned superhydrophobic surfaces

Bhushan

Nosonovsky

Jung

2007

J. R. Soc. Interface.

141

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“…Как показано в исследовании [28], высокое значение угла смачивания само по себе не является гарантией хо-роших водоотталкивающих свойств. Существует ряд по-верхностей, супергидрофобность которых метастабиль-на во времени, а также таких, с которых, при высоких значениях угла смачивания водой, жидкость не скатыва-ется.…”

Section: гистерезис угла смачиванияunclassified

Analysis of approaches to mathematical description of the characteristics of materials with high hydrophobicity

Придатко¹,

Миронюк²,

Свидерский³

2015

EEJET

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“…They indicated that, based on the suspended droplet drying method, the inter-gaps among particles could be well optimized on the rougher substrate than on flat PDMS surface. The roughness and topology of ultra-hydrophobic surfaces were examined by Kijlstra et al [12]. They showed that the topological nature of the surface roughness was critical for hydrophobic characteristics of surfaces and it had a major influence on the water repellency from surfaces.…”

Section: Introductionmentioning

confidence: 99%

Texture Analysis of Hydrophobic Polycarbonate and Polydimethylsiloxane Surfaces via Persistent Homology

et al. 2017

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Due to recent climate change-triggered, regular dust storms in the Middle East, dust mitigation has become the critical issue for solar energy harvesting devices. One of the methods to minimize and prevent dust adhesion and create self-cleaning abilities is to generate hydrophobic characteristics on surfaces. The purpose of this study is to explore the topological features of hydrophobic surfaces. We use non-standard techniques from topological data analysis to extract morphological features from the AFM images. Our method recovers most of the previous qualitative observations in a robust and quantitative way. Persistence diagrams, which is a summary of topological structures, witness quantitatively that the crystallized polycarbonate (PC) surface possesses spherulites, voids, and fibrils, and the texture height and spherulite concentration increases with the increased immersion period. The approach also shows that the polydimethylsiloxane (PDMS) exactly copied the structures at the PC surface but 80 to 90 percent of the nanofibrils were not copied at PDMS surface. We next extract a feature vector from each persistence diagram to show which experiments hold features with similar variance using principal component analysis (PCA). The K-means clustering algorithm is applied to the matrix of feature vectors to support the PCA result, grouping experiments with similar features.

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Roughness and topology of ultra-hydrophobic surfaces

Cited by 129 publications

References 24 publications

Towards optimization of patterned superhydrophobic surfaces

Towards optimization of patterned superhydrophobic surfaces

Analysis of approaches to mathematical description of the characteristics of materials with high hydrophobicity

Texture Analysis of Hydrophobic Polycarbonate and Polydimethylsiloxane Surfaces via Persistent Homology

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