Dissertations, Theses, and Capstone Projects
Date of Degree
1993
Document Type
Dissertation
Degree Name
Ph.D.
Program
Physics
Advisor
Miriam H. Rafailovich (Advisor)
Advisor
Azriel Z. Genach (Chair of Examining Committee)
Committee Members
Jonathan C. Sokolov
Steven A. Schwarz
Ronald Dickman
Subject Categories
Physics
Abstract
The surface segregation in a binary mixture of polymer due to surface energy difference or end-grafting is studied. The surface energy difference induced segregation is compared with the mean-field theory. The end-labeling of chains strengthens the ability of the chain to bind to the surface, and the stretching of the end grafted chains is proved to be a controlling fact limiting the brush density. The structure of a chain near a surface needs to be known in order to make more quantitative analysis. Such knowledge is currently not available although a reflecting surface model is proposed.
We also studied the mutual-diffusion of compatible linear chains. It is observed that the broadening of the interfacial width scales as the 1/4 power of the diffusion time for a time scale much longer than the reptation time. It is speculated that the anomalous behavior is either due to small molecular residue in the sample or due to the long chain nature of the polymer itself. If the former possibility can be ruled out, the validity of applying the reptation model to polymer diffusion over small distances might be under challenge.
Dynamic secondary ion mass spectrometry (SIMS) is an established technique and its application in polymer science has been around for quite some time. However, the quantitative application in depth profiling was so far not very successful. The technique is reviewed and procedures that ensure correct extraction of depth profiles from raw SIMS data are discussed.
Recommended Citation
Zhao, Xiaofeng, "Long Chain Molecules in the Molten State: Surface Adsorption, Near Surface Structure, and Mutual-Diffusion" (1993). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/1644
Comments
Digital reproduction from the UMI microform.