Development and performance of a gelatin-based bio-polysaccharide drag reduction coating

阻力 明胶 瓜尔胶 黄原胶 涂层 材料科学 表面粗糙度 刺槐豆胶 多糖 化学工程 复合材料 流变学 物理 化学 食品科学 生物化学 工程类 热力学
作者
Luo Xie,Lang Jiang,Meng Fan-zhe,Qiang Li,Jun Wen,Haibao Hu
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:35 (5) 被引量:22
标识
DOI:10.1063/5.0149281
摘要

The secreting drag reduction mucus in fish epiderm inspires the manufacturing of five gelatin–polysaccharide drag reduction coatings. First, a mixed solution composed of the gelatin and bio-polysaccharides [guar gum, xanthan gum, locust bean gum, tragacanth gum, or acacia gum] was poured into rectangular grooved polymethyl methacrylate (PMMA) plates, and bionic coatings were obtained after curing. Then, the surface characteristics of the coatings were characterized, and the internal micro-/nanoscale three dimensional (3D) net structures provided releasing access for the polysaccharide molecules. Importantly, a parametric study focusing on the gelatin and polysaccharide proportion affected the drag reduction of the coatings in a turbulent channel flow. Based on a smooth PMMA plate without a coating as a reference, the five developed coatings exhibited considerable drag-reducing effects with the corresponding maximum drag reduction rates that all exceeded 20%. There are three drag reduction mechanisms (polymer drag reduction, slip phenomenon, and wall flexibility) and one drag increase mechanism (surface roughness). Increasing the gelatin proportion affects the release rate of the drag-reducing agents, surface flexibility, and surface slip properties. Meanwhile, increasing the polysaccharide proportion promotes the release of polysaccharides, but increases the surface roughness. Thus, the effects of gelatin and polysaccharide are complicated due to competition between these mechanisms. Future works should focus on clarifying the complex mechanisms to improve the drag reduction efficiency of the gelatin-based bio-polysaccharide coatings. These biomimetic drag-reducing coatings could be further applied to underwater equipment.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cdercder应助张三采纳,获得10
2秒前
万能图书馆应助lobster采纳,获得10
4秒前
科研通AI2S应助Royal采纳,获得10
4秒前
4秒前
科研通AI6.4应助Lzy采纳,获得10
6秒前
炙热幻灵完成签到,获得积分10
7秒前
7秒前
7秒前
8秒前
8秒前
Angela发布了新的文献求助10
9秒前
9秒前
lalala完成签到,获得积分10
9秒前
自由飞翔发布了新的文献求助10
10秒前
Wizard发布了新的文献求助10
10秒前
11秒前
something完成签到,获得积分10
11秒前
Inory007发布了新的文献求助10
11秒前
dasfdufos发布了新的文献求助10
12秒前
科研通AI6.2应助123采纳,获得30
13秒前
大模型应助123采纳,获得10
13秒前
科研通AI6.3应助123采纳,获得50
13秒前
星辰大海应助123采纳,获得10
13秒前
天天快乐应助123采纳,获得10
13秒前
科研通AI6.3应助123采纳,获得50
13秒前
科研通AI6.2应助123采纳,获得10
13秒前
14秒前
weixiao发布了新的文献求助10
14秒前
迅速的菲鹰完成签到,获得积分10
14秒前
14秒前
14秒前
16秒前
SciGPT应助香山叶正红采纳,获得10
16秒前
桃博发布了新的文献求助30
17秒前
17秒前
六月雪发布了新的文献求助10
17秒前
17秒前
充电宝应助lizhiqian2024采纳,获得10
19秒前
ihuu完成签到,获得积分10
19秒前
大个应助lizhiqian2024采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7407195
求助须知:如何正确求助?哪些是违规求助? 9011692
关于积分的说明 19192429
捐赠科研通 7040437
什么是DOI,文献DOI怎么找? 3232511
关于科研通互助平台的介绍 2394493
邀请新用户注册赠送积分活动 2214717