Cited by 56Polymer composites and self-healingAdvanced Materials and MechanicsDendrimers and Hyperbranched Polymers

Structure and mechanical properties of shape memory polyurethane based on hyperbranched polyesters

Cao, Qi, Liu, Pengsheng·2006·Polymer Bulletin

Integrity signals

Registry

Crossref · 10.1007/s00289-006-0650-z

Cites

36 of 36 references verified0 citation errors · 0 not checkable

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  • In (Boltorn H30/PBAG/MDI)-based SMP (Ttrans = Tm), the hard to soft segment relationship was dominated by a general trend of decreasing soft segment crystallinity with increasing hard segment content.

    “In the given case, the hard to soft segment relationship in (Boltorn ® H30/PBAG/MDI)-based SMP (T trans = T m ) was dominated by a general trend of decreasing soft segment crystallinity with increasing hard segment content.”

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Authors
Cao, Q., & Liu, P.
Affiliations
Xiangtan University (CN)
Corresponding author
  • Cao, Qi
  • Liu, Pengsheng
Venue
Polymer Bulletin
Published
2006-07-27
Volume
57
Issue
6
Pages
889-899
ISSN
  • 0170-0839 (ISSN-L)
  • 1436-2449
OpenAlex
W2085719242
Cited by
56
References
36
Citations by year
2025: 1 · 2023: 1 · 2021: 1 · 2020: 3 · 2019: 5 · 2018: 3 · 2017: 2 · 2016: 3 · 2015: 1 · 2014: 1 · 2013: 4 · 2012: 6
FWCI
3.79
Type
journal article
Language
en
Open access
closed
Locations
Polymer Bulletin (publishedVersion)
Topics
  • Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
  • Physical Sciences › Materials Science › Polymers and Plastics › Dendrimers and Hyperbranched Polymers
Keywords
shape memory polyurethane, hyperbranched polyester, hard segment content, 4,4'-diphenylmethane diisocyanate, soft segment crystallinity, shape recovery, mechanical properties, thermal properties, chain extenders

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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