Anisotropic Superhydrophobic Properties of Bioinspired Surfaces by Laser Ablation of Metal Substrate inside Water

Su, Yilin; Zhao, Yanzheng; Jiang, Shengyuan; Hou, Xuyan; Hong, Minghui

doi:10.1002/admi.202100555

Cited by 22 publications

(10 citation statements)

References 45 publications

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“…Detailed wettability change mechanisms of HRHPP and LRLPP surfaces are explained in Figure S15 and Note S1, Supporting Information. [48][49][50][51] Based on water repulsion from the SHBS and water adhesion from the SHLS, we introduced a heterogeneous superwettability surface, which is comprised of annular SHBS and circular SHLS, to capture water droplets and form a bulge-like structure. Figure 3g gives a series of optical photographs of the water droplet transfer process.…”

Section: Resultsmentioning

confidence: 99%

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Wetting Ridge‐Guided Directional Water Self‐Transport

et al. 2022

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Directional water self‐transport plays a crucial role in diverse applications such as biosensing and water harvesting. Despite extensive progress, current strategies for directional water self‐transport are restricted to a short self‐driving distance, single function, and complicated fabrication methods. Here, a lubricant‐infused heterogeneous superwettability surface (LIHSS) for directional water self‐transport is proposed on polyimide (PI) film through femtosecond laser direct writing and lubricant infusion. By tuning the parameters of the femtosecond laser, the wettability of PI film can be transformed into superhydrophobic or superhydrophilic. After trapping water droplets on the superhydrophilic surface and depositing excess lubricant, the asymmetrical wetting ridge drives water droplets by an attractive capillary force on the LIHSS. Notably, the maximum droplet self‐driving distance can approach ≈3 mm, which is nearly twice as long as the previously reported strategies for direction water self‐transport. Significantly, it is demonstrated that this strategy makes it possible to achieve water self‐transport, anti‐gravity pumping, and chemical microreaction on a tilted LIHSS. This work provides an efficient method to fabricate a promising platform for realizing directional water self‐transport.

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Section: Resultsmentioning

confidence: 99%

“…Detailed wettability change mechanisms of HRHPP and LRLPP surfaces are explained in Figure S15 and Note S1 , Supporting Information. [ 48 , 49 , 50 , 51 ]…”

Section: Resultsmentioning

confidence: 99%

Wetting Ridge‐Guided Directional Water Self‐Transport

et al. 2022

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“…Here, the rate of rolling is facilitated toward the forward direction and restricted toward the opposite direction easing the movement of water droplets in one direction. 46…”

Section: Principles Of Superhydrophobicitymentioning

confidence: 99%

“…F I G U R E 1 Schematic explaining the (a) low-adhesion SH surface (Cassie-Baxter model), 45 (b) high-adhesion SH surface (Cassieimpregnating model), 45 (c) anisotropic SH surface (Simulated droplet sliding behavior at anisotropic SH surface along opposite directions at different tilt angles). 46 [Color figure can be viewed at wileyonlinelibrary.com]…”

Section: Applications Of Superhydrophobicitymentioning

confidence: 99%

A review focused on the superhydrophobic fabrics with functional properties

Shilpa

Sri

Robert³

et al. 2023

J of Applied Polymer Sci

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Superhydrophobic (SH) property is a naturally occurring phenomenon that has a wide range of potential applications such as antiicing, anticorrosion, electrowetting, blood typing, and so forth, and therefore, inspires the researchers to mimic them over artificial surfaces to achieve desired properties.Low surface energy and suitable surface roughness are the two key factors that play a vital role in developing SH surfaces. Hence, when the target substrate is introduced with suitable roughness and consequently functionalized with low surface energy, SH can be incorporated. Owing to the SH's wide range of inherent properties such as stain-resistant, self-cleaning, flame retardant, oil/water separation, and so forth as well as tunable functionalities such as electrical conductivity, photocatalytic activity, UV-protection, and so forth, the development of SH fabrics has gained a lot of research attention in recent years. In this context, the present review focuses on the different applications of SH fabrics and their recent research progress.

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“…Superhydrophobic coating is also an efficient and convenient superhydrophobic surface solution with a consistent shelf life and adhesion strength . However, laser texturing has garnered increased attention because of its unique advantages of constructing any well-designed hybrid micro/nanostructure on various material surfaces in a single step. − In addition, the characteristics of extended service life, high efficiency, and cost-effectiveness make it a promising method for large-scale industrial application and promotion.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Deep-Learning Framework for Accurate Prediction of Wettability Evolution of Laser-Textured Surfaces

Zhang

Yang

Zhao

et al. 2023

ACS Appl. Mater. Interfaces

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The lengthy process through which laser-textured surfaces transform from hydrophilic to hydrophobic severely restricts their practical applications. Accurately predicting the wettability evolution curve is crucial; however, developing a reliable prediction model remains challenging. Herein, a data-driven multimodal deep-learning framework was developed, in which multimodal data of micro/nanostructure morphology images, composition distribution images, and time information are effectively coupled and fed into a convolutional neural network (CNN). Rich data input and in-depth data mining make the framework more robust, achieving accurate prediction of the wettability evolution curves of various typical micro/nanostructures. Additionally, accurate prediction of input images with varying magnifications and untrained laser-textured surfaces demonstrates the generalizability of the multimodal CNN framework. The visualization results of the convolution layer confirmed the rationality of the information learned by the model. Additionally, the proposed multimodal CNN framework was successfully utilized to investigate the optimization process. Further, a laser-textured surface with a shorter evolution period and a larger final contact angle was realized. The proposed multimodal CNN framework offers an efficient and cost-effective method for predicting the wettability evolution curves and exploring the optimization processes, enhancing the application potential of laser micro/nanofabrication of superhydrophobic surfaces.

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Anisotropic Superhydrophobic Properties of Bioinspired Surfaces by Laser Ablation of Metal Substrate inside Water

Cited by 22 publications

References 45 publications

Wetting Ridge‐Guided Directional Water Self‐Transport

Wetting Ridge‐Guided Directional Water Self‐Transport

A review focused on the superhydrophobic fabrics with functional properties

Multimodal Deep-Learning Framework for Accurate Prediction of Wettability Evolution of Laser-Textured Surfaces

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