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 生物 植物 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%.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
sci完成签到,获得积分10
4秒前
蟋蟀狂舞发布了新的文献求助10
7秒前
shelley完成签到,获得积分10
10秒前
冷艳小刺猬完成签到 ,获得积分10
11秒前
13秒前
搜集达人应助科研通管家采纳,获得10
15秒前
在水一方应助科研通管家采纳,获得10
15秒前
传奇3应助科研通管家采纳,获得10
15秒前
SciGPT应助科研通管家采纳,获得30
15秒前
15秒前
爆米花应助科研通管家采纳,获得10
16秒前
思源应助科研通管家采纳,获得10
16秒前
慕青应助科研通管家采纳,获得10
16秒前
大个应助科研通管家采纳,获得10
16秒前
丘比特应助科研通管家采纳,获得10
16秒前
16秒前
16秒前
Hello应助科研通管家采纳,获得10
16秒前
17秒前
700w完成签到 ,获得积分10
18秒前
寂寞的诗云完成签到,获得积分10
18秒前
scfsl完成签到,获得积分10
18秒前
19秒前
幸福大白发布了新的文献求助10
19秒前
sijin1216完成签到,获得积分10
19秒前
小高发布了新的文献求助10
20秒前
歪比巴卜发布了新的文献求助10
21秒前
21秒前
22秒前
OKOK发布了新的文献求助10
22秒前
内向忆南发布了新的文献求助30
26秒前
27秒前
NexusExplorer应助花花采纳,获得10
28秒前
我是老大应助OKOK采纳,获得10
28秒前
deallyxyz应助goofs采纳,获得200
29秒前
30秒前
30秒前
木偶完成签到 ,获得积分10
31秒前
twob发布了新的文献求助10
31秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 1030
A new approach to the extrapolation of accelerated life test data 1000
Indomethacinのヒトにおける経皮吸収 400
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 370
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3993503
求助须知:如何正确求助?哪些是违规求助? 3534194
关于积分的说明 11264895
捐赠科研通 3274061
什么是DOI,文献DOI怎么找? 1806259
邀请新用户注册赠送积分活动 883055
科研通“疑难数据库(出版商)”最低求助积分说明 809702