Enhancing Water Resistance and Mechanical Properties of Waterborne Polyurethane Coating Films via Surface Modification of Cellulose Nanocrystals With Long‐Chain Alkyl Alcohols

聚氨酯 烷基 材料科学 表面改性 纤维素 涂层 纳米晶 高分子化学 化学工程 链条(单位) 高分子科学 复合材料 有机化学 纳米技术 化学 工程类 物理 天文
作者
Xiongwei Zhan,Jian Chen,Yong Soo Kang,Zhaozhe Yang,Guomin Wu,Zhenwu Kong
出处
期刊:Journal of Applied Polymer Science [Wiley]
卷期号:142 (27) 被引量:1
标识
DOI:10.1002/app.57124
摘要

ABSTRACT In the application of waterborne coatings, enhancing the water resistance and mechanical properties of coating films derived from waterborne coatings has been a critical challenge in need of urgent resolution. To tackle this issue, we propose an innovative strategy that involves surface modification of cellulose nanocrystals (CNC) using long‐chain alkyl alcohols and the preparation of polyurethane composite films with excellent hydrophobicity by compounding the modified CNC (C‐CNC) with waterborne polyurethane (WPU). Using a custom mold, we achieved surface hydrophobic functionalization. This study delves into the impact of CNC on the hydrophobic composite film, particularly focusing on its contribution to film morphology, thermal properties, and mechanical properties, significantly enhancing its hydrophobicity. Experimental results demonstrate that the mold with a rough surface constructs numerous rough and porous structures on the coating film surface, significantly enhancing its hydrophobicity. Notably, the C 28 –CNC/WPU composite film prepared using octacosanol‐modified CNC exhibits the best hydrophobicity, with a water contact angle reaching 122.80°. This strategy of preparing hydrophobic coating films through a simple and effective method not only overcomes limitations of waterborne coatings in terms of water resistance and mechanical properties but also holds significant potential for environmentally friendly coatings, offering new insights for waterborne coating development.
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
可了完成签到 ,获得积分10
刚刚
ahui完成签到 ,获得积分10
刚刚
2秒前
Jenny完成签到,获得积分10
2秒前
风趣靳应助科研通管家采纳,获得10
2秒前
2秒前
风趣靳应助科研通管家采纳,获得10
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
风趣靳应助科研通管家采纳,获得10
3秒前
3秒前
英姑应助大力云朵采纳,获得10
3秒前
wanci应助科研通管家采纳,获得10
3秒前
wanci应助科研通管家采纳,获得10
3秒前
Lucas应助科研通管家采纳,获得10
3秒前
3秒前
4秒前
桐桐应助科研通管家采纳,获得10
4秒前
4秒前
kin完成签到,获得积分10
4秒前
快乐友灵完成签到,获得积分10
6秒前
6秒前
7秒前
8秒前
hx完成签到,获得积分10
9秒前
10秒前
图图发布了新的文献求助10
10秒前
勤恳麦片发布了新的文献求助10
10秒前
万能图书馆应助听风无涯采纳,获得10
10秒前
xinxin完成签到,获得积分10
10秒前
11秒前
12秒前
脑洞疼应助激动的项链采纳,获得10
12秒前
13秒前
小马甲应助cc采纳,获得10
13秒前
偷看星星发布了新的文献求助10
14秒前
14秒前
15秒前
JiangWen完成签到,获得积分10
17秒前
18秒前
18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
Principles of town planning: translating concepts to applications 1000
Cognitive Psychology in a Changing World 800
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
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 7685676
求助须知:如何正确求助?哪些是违规求助? 9249137
关于积分的说明 19956205
捐赠科研通 7258815
什么是DOI,文献DOI怎么找? 3289268
关于科研通互助平台的介绍 2446304
邀请新用户注册赠送积分活动 2293491