Laser Texturing for Superwetting Titanium Alloy and Investigation of Its Erosion Resistance
文献类型： 外文期刊
作者： Wang, Zhiguo 1 ; Song, Jinpeng 1 ; Wang, Tianyi 3 ; Wang, Huixin 4 ; Wang, Qinghua 5 ;
作者机构： 1.Xian Shiyou Univ, Sch Mech Engn, Xian 710065, Peoples R China
2.Xian Key Lab Wellbore Integr Evaluat, Xian 710065, Peoples R China
3.Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China
4.Jiangsu Acad Agr Sci, Inst Agr Facil & Equipment, Nanjing 210014, Peoples R China
5.Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
6.Jiangsu Key Lab Design & Mfg Micro Nano Biomed In, Nanjing 211189, Peoples R China
关键词： titanium alloy; laser texturing; superwetting; erosion resistance
期刊名称：COATINGS （ 影响因子：3.236； 五年影响因子：3.312 ）
ISSN：
年卷期： 2021 年 11 卷 12 期
页码：
收录情况： SCI
摘要： Erosion of materials is one of the major causes that lead to the malfunction of equipment and facilities, and surface texturing can be a solution for enhancement of erosion resistance. In this work, superwetting (superhydrophilic/superhydrophobic) titanium (Ti) alloy surface with periodic microstructure was prepared by a facile laser-based surface texturing approach which combines laser surface texturing and low-temperature annealing. The effect of laser-induced surface texture and wettability on the erosion resistance of the laser textured surface was studied. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) were used to analyze the chemical surface microstructure and surface on the untreated and laser textured surfaces. The hardness and contact angle of the untreated surface, superhydrophilic surface and superhydrophobic surface were measured by microhardness tester and contact angle goniometer. Using an in-house built erosion experimental setup, the erosion resistance of the untreated surface, superhydrophilic surface and superhydrophobic surface was investigated. The experimental results demonstrate that micro-bumps are formed after laser surface texturing. In the meantime, the surface hardness for the laser textured surface with a step size of 150 mu m is increased by 48% under the load of 1.961 N. Compared with the untreated surface, the erosion resistance is increased by 33.9%, 23.8% and 16.1%, respectively, for the superhydrophobic surface. The SEM results show that the untreated surface has large and deep impact pits, while the superhydrophobic surface only has small and shallow impact pits, indicating that the erosion process resulted in less damage to the substrate. The EDS results shows that superhydrophobicity plays a critical role in protecting the substrate from erosion. It is thus believed that the superhydrophobic surface has pronounced effects for improving the hardness and erosion resistance of Ti alloy.
- 相关文献
作者其他论文 更多>>
-
Simulation and mechanism analysis of enhanced anti-icing performance on superhydrophobic surfaces subject to temperature variation
作者：Liu, Chao;Fu, Jiajun;Zhao, Runhan;Wang, Qinghua;Liu, Chao;Fu, Jiajun;Zhao, Runhan;Wang, Qinghua;Wang, Huixin;Wang, Huixin
关键词：Anti-icing performance; Superhydrophobicity; Simulation model; Bouncing; Phase transformation
-
Improving the anti-corrosion functionality of steel surface exposed to aggressive environments via ultrasonic-assisted laser-silicone oilation for farming applications
作者：Wang, Huixin;Wang, Mingjia;Huo, Lianfei;Han, Guofeng;Duan, Enze;Sun, Tao;Bai, Zongchun;Liu, Chao;Wang, Qinghua;Wang, Huixin;Wang, Mingjia;Huo, Lianfei;Han, Guofeng;Duan, Enze;Sun, Tao;Bai, Zongchun;Wang, Mingjia;Sun, Tao;Yang, Deming
关键词：Laser-based fabrication; Superhydrophobic surface; Corrosion resistance; High efficiency and low cost; Farming applications
-
Ethanol liquid film-assisted nanosecond laser transmission welding for stainless steel and glass
作者：Zhao, Runhan;Luo, Jingyi;Liu, Zhijiao;Fu, Jiajun;Liu, Chao;Wang, Qinghua;Zhang, Tairui;Li, Yide;Wang, Huixin;Wang, Huixin
关键词：Nanosecond laser; Laser welding; Dissimilar materials; Mechanical strength
-
Machine learning-based prediction of surface structure induced by laser surface texturing
作者：Li, Yongzhe;Fu, Jiajun;Zhao, Runhan;Liu, Chao;Wang, Qinghua;Fu, Jiajun;Zhao, Runhan;Liu, Chao;Wang, Qinghua;Wang, Huixin;Wang, Huixin
关键词：Laser texturing; Surface structure; Machine learning; Roughness prediction; Artificial neural intelligence
-
An intelligent method for detection of small target fungal wheat spores based on an improved YOLOv5 with microscopic images
作者：Ren, Zhizhou;Liang, Kun;Zhang, Yingqi;Song, Jinpeng;Wu, Xiaoxiao;Zhang, Chi;Mei, Xiuming;Zhang, Yi;Liu, Xin
关键词：Wheat; Fungal spore detection; Feature fusion; Attention mechanism; YOLO
-
Wettability prediction and feature importance analysis for laser-chemical induced superwetting surface based on machine learning
作者：Fu, Jiajun;Song, Xinrong;Liu, Chao;Zhao, Runhan;Wang, Qinghua;Fu, Jiajun;Liu, Chao;Zhao, Runhan;Wang, Qinghua;Li, Yide;Wang, Huixin;Wang, Huixin
关键词：Laser surface texturing; structure and chemistry; superwetting surface; machine learning; wettability prediction
-
Laser-Chemical Surface Treatment for Enhanced Anti-Corrosion and Antibacterial Properties of Magnesium Alloy
作者：Xiong, Wei;Fu, Jiajun;Liu, Chao;Zhang, Tairui;Wang, Qinghua;Fu, Jiajun;Liu, Chao;Wang, Qinghua;Li, Li;Wang, Huixin;Li, Li;Wang, Huixin;Zhang, Mingjun;Ge, Zhiqiang
关键词：magnesium alloy; laser surface structuring; stearic acid treatment; superhydrophobicity; corrosion resistance; antibacterial
