Correlations of rheological methods to coatings' performance

流变学 材料科学 涂层 复合材料 聚合物 固化(化学) 粘度 模数 报告
作者
Shun Xing Zheng,Hua Shan Chen
出处
期刊:Progress in Organic Coatings [Elsevier BV]
卷期号:177: 107403-107403 被引量:23
标识
DOI:10.1016/j.porgcoat.2022.107403
摘要

Most basic issues of organic coatings are related to rheology. The paper extracts rheological methods from the references to establish correlations with coating performance, which sets a framework for coating rheology. The low-frequency parameters obtained in oscillatory tests can be used to predict rheological properties in very slow processes, such as pigment settlement and sagging. Fractal analysis is used to investigate pigment flocs in coatings, but the affinity of medium to pigment particles determines whether fractal structures of flocs form and which formation mechanism to take. During curing processes, an increase in storage modulus G′ and a decrease in the inclination of G′-ω plots are used to measure and indicate crosslink density. The product of intrinsic viscosity and boundary concentration where polymer coils start to entangle, C∗[η], regardless of the molecular weight, is used to assess the chain configuration in polymer solutions. Extensional viscosity and the elastic modulus in nonlinear regime are used to investigate roll spatter and spray atomization. The sagging and levelling performance of coatings can be characterized by the empirical Leneta flow test, simple 3ITT, and quantitative falling wave method. Stress ramp loop can be used to directly measure static yield stress and identify the formation mechanism of fractal structures, revealing internal change within coatings. Rheology modifiers are introduced in detail.
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
YT完成签到,获得积分0
3秒前
彪壮的青槐完成签到,获得积分10
4秒前
科目三应助科研通管家采纳,获得10
5秒前
5秒前
微笑猎豹应助科研通管家采纳,获得10
5秒前
张鸿杰完成签到,获得积分10
5秒前
微笑猎豹应助科研通管家采纳,获得10
5秒前
天天快乐应助科研通管家采纳,获得10
6秒前
molihuakai应助科研通管家采纳,获得10
6秒前
香蕉觅云应助科研通管家采纳,获得10
6秒前
egomarine应助科研通管家采纳,获得10
6秒前
完美世界应助科研通管家采纳,获得10
6秒前
脑洞疼应助科研通管家采纳,获得10
6秒前
在水一方应助科研通管家采纳,获得20
7秒前
ding应助科研通管家采纳,获得10
7秒前
Jasper应助科研通管家采纳,获得10
7秒前
思源应助科研通管家采纳,获得10
7秒前
在水一方应助科研通管家采纳,获得10
7秒前
7秒前
科研通AI2S应助科研通管家采纳,获得10
7秒前
8秒前
赘婿应助科研通管家采纳,获得10
8秒前
仁爱樱发布了新的文献求助10
8秒前
丘比特应助科研通管家采纳,获得10
8秒前
Jasper应助科研通管家采纳,获得10
8秒前
8秒前
dann发布了新的文献求助30
8秒前
微笑猎豹应助科研通管家采纳,获得10
8秒前
9秒前
薯条完成签到,获得积分20
9秒前
9秒前
9秒前
9秒前
9秒前
乐乐应助any采纳,获得10
9秒前
科研花完成签到 ,获得积分10
10秒前
12秒前
薯条发布了新的文献求助10
13秒前
野花做了玫瑰花的梦完成签到,获得积分10
13秒前
v0id应助孤央采纳,获得10
14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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7587652
求助须知:如何正确求助?哪些是违规求助? 9166019
关于积分的说明 19617329
捐赠科研通 7167953
什么是DOI,文献DOI怎么找? 3266926
关于科研通互助平台的介绍 2431831
邀请新用户注册赠送积分活动 2258838