Natural weathering severity of typical coastal environment on polystyrene: Experiment and modeling

风化作用 温带气候 光泽度(光学) 环境科学 聚苯乙烯 材料科学 气候变化 大气科学 自然地理学 复合材料 聚合物 地质学 地貌学 地理 海洋学 植物 生物 涂层
作者
Yu Shi,Jiaxiang Qin,Youji Tao,Ganxin Jie,Jun Wang
出处
期刊:Polymer Testing [Elsevier BV]
卷期号:76: 138-145 被引量:23
标识
DOI:10.1016/j.polymertesting.2019.03.018
摘要

Natural weathering of polystyrene (PS) was performed at six exposure sites with various climate types along the coastal line from China to Europe, including Qionghai (typical hot-humid climate), Sansha (island hot-humid climate), Chennai (savanna hot-humid climate), Jeddah (xerothermic climate), Sanary-sur-Mer (mediterranean climate), Hoek van Holland (warm-temperate climate). The chemical structure, morphology and color changes of PS after weathering were characterized by FTIR, DSC, SEM and Color spectrometer, and relative weathering severity of different climates on PS were compared. Results show that Sansha has the highest severity value while the severity value of Hoek van Holland is the lowest. The degradation degree of PS at the sites of Qionghai, Sansha, and Chennai is higher than that at other sites, resulted in a deterioration of the optical properties and serious damage of the sample surface. In the xerothermic climate, the optical properties of PS decrease drastically during the process of natural weathering, while only slight change in hydroxyl index and carbonyl index is observed, and micrographic surface does not differ from the surface of un-weathered materials. For other climates, the degradation degree was low, resulting in a relative slow change of optical properties and long time for the appearance of surface defects. In order to quantify the relative severity of these climates, a mathematic model was proposed based on the basic degradation principle of polymer materials, which could predict the failure time of PS. The failure time was predicted by the model using gloss loss of PS as failure index, with an accuracy up to 99.2%.

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
刚刚
1秒前
蓝景轩辕发布了新的文献求助200
1秒前
小泽完成签到,获得积分10
2秒前
咖啡豆发布了新的文献求助20
3秒前
3秒前
无花果应助随心随意采纳,获得10
4秒前
5秒前
风清扬发布了新的文献求助10
5秒前
Fairy完成签到,获得积分10
5秒前
寒冷的鸡翅完成签到,获得积分10
5秒前
科研通AI6.1应助huanghuang采纳,获得10
6秒前
6秒前
YYY完成签到 ,获得积分10
6秒前
7秒前
乃神完成签到,获得积分10
7秒前
7秒前
一郭红烧肉完成签到,获得积分10
8秒前
zed320完成签到 ,获得积分10
8秒前
wanci应助激昂的小懒虫采纳,获得10
9秒前
yunchaozhang发布了新的文献求助10
9秒前
小鱼鱼完成签到,获得积分20
10秒前
10秒前
黄良凤完成签到,获得积分10
10秒前
11秒前
gg完成签到,获得积分10
12秒前
babylow完成签到,获得积分10
12秒前
开朗草丛发布了新的文献求助10
12秒前
YPHCC发布了新的文献求助10
13秒前
13秒前
13秒前
EV发布了新的文献求助10
14秒前
熠熠生辉完成签到,获得积分20
14秒前
14秒前
SciGPT应助Tartaglia采纳,获得30
15秒前
闪闪的盼海完成签到 ,获得积分20
15秒前
小狼狗很凶完成签到,获得积分10
16秒前
17秒前
鸭鸭乐园完成签到,获得积分10
17秒前
科研通AI6.1应助汉堡采纳,获得10
17秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6700887
求助须知:如何正确求助?哪些是违规求助? 8442623
关于积分的说明 18035432
捐赠科研通 5936071
什么是DOI,文献DOI怎么找? 2988835
邀请新用户注册赠送积分活动 1964618
关于科研通互助平台的介绍 1908154