基于聚二甲基硅氧烷和纳米CaCO3的超疏水自清洁涂层的制备

黄艳芬, 胡未能, 石其坤, 闫自豪, 田长丙, 刘巍, 吕早生

化工新型材料 ›› 2018, Vol. 46 ›› Issue (5) : 242 -244.

PDF (3672KB)
化工新型材料 ›› 2018, Vol. 46 ›› Issue (5) : 242-244.
开发与应用

基于聚二甲基硅氧烷和纳米CaCO3的超疏水自清洁涂层的制备

    黄艳芬, 胡未能, 石其坤, 闫自豪, 田长丙, 刘巍, 吕早生
作者信息 +

Preparation of self-cleaning superhydrophobic coating based on PDMS and nano-CaCO3

  • Huang Yanfen, Hu Weineng, Shi Qikun, Yan Zihao, Tian Changbing, Liu Wei, Lv Zaosheng
Author information +
文章历史 +
PDF (3759K)

摘要

利用聚二甲基硅氧烷(PDMS)与纳米CaCO3,采用有机无机共混法制备有机无机复合涂层。向PDMS中引入适量的纳米CaCO3粒子能显著提高复合涂层的表面接触角,纳米CaCO3粒子的引入将PDMS涂层的表面接触角从113°提高到158°。该复合涂层具有非常好的自清洁性能。此外,该方法操作简单、步骤简便、无需特殊设备、适合大面积制备且生产成本低。因此,该超疏水自清洁涂层具有实用价值。

Abstract

The organic-inorganic composite coatings were prepared by organic/inorganic hybrid method based on PDMS and nano-CaCO3.Introducing an appropriate amount of CaCO3 nanoparticles to PDMS could significantly increase water contact angle of composite coating surface.The water contact angle increased from 113° to 158° by introducing CaCO3 nanoparticles to PDMS.The superhydrophobic coating showed excellent self-cleaning properties.Furthermore,the coatings prepared by this method exhibited simple procedure,no need special equipment,suitable for large area preparation and low production costs.Thus,the superhydrophobic self-cleaning coatings had practical value for wide application.

关键词

超疏水 / 纳米CaCO3 / 聚二甲基硅氧烷 / 自清洁

Key words

superhydrophobicity / nano-CaCO3 / PDMS / self-cleaning

引用本文

引用格式 ▾
基于聚二甲基硅氧烷和纳米CaCO3的超疏水自清洁涂层的制备[J]. 化工新型材料, 2018, 46(5): 242-244 DOI:

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1] Falah Toosi S,Moradi S,Kamal S,et al.Superhydrophobic laser ablated PTFE substrates[J].Appl Surf Sci,2015,349:715-723.
[2] Seyfi J,Hejazi I,Jafari S H,et al.On the combined use of nanoparticles and a proper solvent/non-solvent system in preparation of superhydrophobic polymer coatings[J].Polymer,2015,56:358-367.
[3] Huang Y,Liu X,Zhang F,et al.Living anionic polymerization of a block copolymer and the preparation of superhydrophobic surfaces based on the method of phase separation[J].Polym J,2013,45(2):125-128.
[4] Huang Y,Sarkar D K,Grant Chen X.Superhydrophobic aluminum alloy surfaces prepared by chemical etching process and their corrosion resistance properties[J].Appl Surf Sci,2015,356:1012-1024.
[5] Zhang Z,Ge B,Men X,et al.Mechanically durable,superhydrophobic coatings prepared by dual-layer method for anti-corrosion and self-cleaning[J].Colloids Surf A,2016,490:182-188.
[6] Zhang M,Zang D,Shi J,et al.Superhydrophobic cotton textile with robust composite film and flame retardancy[J].RSC Adv,2015,5(83):67780-67786.
[7] Wang L,Zhang X,Li B,et al.Superhydrophobic and ultraviolet-blocking cotton textiles[J].ACS Appl Mater Interfaces,2011,3(4):1277-1281.
[8] Brassard J D,Sarkar D K,Perron J,et al.Nano-micro structured superhydrophobic zinc coating on steel for prevention of corrosion and ice adhesion[J].J Colloid Interface Sci,2014,447:240-247.
[9] Yang C,Wang F,Li W,et al.Anti-icing properties of superhydrophobic ZnO/PDMS composite coating[J].Appl Phys A Mater Sci Process,2016,122(1):1-10.
[10] Song K,Gao A,Cheng X,et al.Preparation of the superhydrophobic nano-hybrid membrane containing carbon nanotube based on chitosan and its antibacterial activity[J].Carbohydr Polym,2015,130:381-387.
[11] Wu M,Ma B,Pan T,et al.Silver-nanoparticle-colored cotton fabrics with tunable colors and durable antibacterial and self-healing superhydrophobic properties[J].Adv Funct Mater,2016,26(4):569-576.
[12] Wang M,Chen C,Ma J,et al.Preparation of superhydrophobic cauliflower-like silica nanospheres with tunable water adhesion[J].J Mater Chem,2011,21(19):6962-6967.
[13] Hou Y,Wang Z,Guo J,et al.Facile fabrication of robust superhydrophobic porous materials and their application in oil/water separation[J].J Mater Chem A,2015,3(46):23252-23260.
[14] Zhang L,Li L,Dang Z M.Bio-inspired durable,superhydrophobic magnetic particles for oil/water separation[J].J Colloid Interface Sci,2016,463:266-271.

基金资助

湖北省教育厅项目(Q20171108);湖北省重点实验室基金(WKDM201711)

AI Summary AI Mindmap
PDF (3672KB)

489

访问

0

被引

导航
相关文章

AI思维导图

/