Literature DB >> 21567642

Anionic Synthesis and Rheological Characterization of Poly(p-methylstyrene) Model Comb Architectures with a Defined and Very Low Degree of Long Chain Branching.

Michael Kempf1, Vitor C Barroso, Manfred Wilhelm.   

Abstract

A method is presented for the synthesis of defined sparsely branched polystyrene-based homopolymer model combs. By the use of poly(p-methylstyrene) (PpMS) as backbone and side chains, a low, but well controlled amount of branching of typically less than 1 mol-% (e.g., 1 branch per approx. 200 backbone C-atoms) can be achieved. The used anionic synthesis offers full control of the molecular weight in combination with low polydispersity. Molecular weight and polydispersity were determined by SEC-MALLS, confirming the well defined synthesis with low polydispersity ($\overline {{\rm M}} _{{\rm w}} /\overline {{\rm M}} _{{\rm n}} $ < 1.07). The melt rheological properties of the synthesized linear and comb polymers were obtained in both oscillatory shear and uniaxial extensional flow. Using the so-called van Gurp-Palmen plot, clear differences between both synthesized topologies are clearly seen. The appearance of a second minimum for lower values of the complex modulus in shear is a clear indication of a second relaxation process attributable to the entangled side chains. The presence of the entangled side chains is responsible for the observed strain hardening obtained in extensional viscosity experiments, as compared to the linear polymers. These model samples open up the possibility to compare different advanced rheological methods, e.g., FT-rheology or extensional rheology, towards limiting sensitivity.
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2010        PMID: 21567642     DOI: 10.1002/marc.201000412

Source DB:  PubMed          Journal:  Macromol Rapid Commun        ISSN: 1022-1336            Impact factor:   5.734


  1 in total

1.  Synergistic lignin construction of a long-chain branched polypropylene and its properties.

Authors:  Bo Tian; Jinfeng Li; Zhigang Li; Ningdi Xu; Gang Yao; Nan Zhang; Wei Dong; Yuguang Liu; Mingwei Di
Journal:  RSC Adv       Date:  2020-10-15       Impact factor: 4.036

  1 in total

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