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고분자 내 나노입자의 혼합성능 향상을 위한 실험적 연구

Title
고분자 내 나노입자의 혼합성능 향상을 위한 실험적 연구
Authors
서경덕
Date Issued
2010
Publisher
포항공과대학교
Abstract
It is well known that it is quite difficult to achieve a good mixing of nano particles in polymeric matrix due to high van der Waals forces. In particular, it is of great interest to develop an efficient mixer for uniform mixing in polymeric matrix of a small volume. For such a purpose a new miniaturized batch type mixer is developed in this study. Improved mixing performance is observed with the help of new data analysis procedure in terms of size distribution of agglomerates, mixing entropy and a standard deviation of the particles distribution, which are evaluated from the transmitted light microscopic images of the mixture obtained from the new mixer. The mixer is composed of a single screw and a chamber of 5.7mL cavity volume. The flight clearance between the single screw and the chamber wall is quite small in the order of 10μm, inducing significant shear force for an effective dispersive mixing. In addition, a deep channel is employed in the single screw for an effective distributive mixing. For an experimental characterization of the mixer, a multiwall carbon nanotube (MWNT) and a polydimethylsiloxane (PDMS) pre-polymer are used as the nano particles and the matrix, respectively. The mixture sample of 100 μm thickness is observed by the transmitted light microscopy. For analyzing the mixing performance, we have proposed a new digital data processing procedure. The dispersive mixing efficiency is quantified by measuring the size distribution of agglomerates while the distributive mixing efficiency is evaluated by the mixing entropy and the standard deviation of MWNT distribution. The experimental results show that the mixing performance of the present mixer is better than the other mixing method like a sonification using a high power ultrasonic tip.
URI
http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000000576779
http://oasis.postech.ac.kr/handle/2014.oak/771
Article Type
Thesis
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