The DOI matches its Crossref record.
Properties of linear elastomeric polyurethanes
Abstract
The viscoelastic properties of some polyester‐urethanes are compared with the properties of other polymers. The behavior observed is anomalous in that these polyurethanes exhibit an unusually high value of modulus well above their Tg, unaccounted for by either crosslinking or crystallinity. Various experiments including incorporation of plasticizes of widely varying chemical composition have suggested interpretation of the system as a block copolymer, each block having its own Tg. Each of the two types of blocks seems to associate with similar blocks from other molecules.
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Citations
Cited by
Petrović, Z. S., & Ferguson, J. (1991) · Progress in Polymer Science · doi:10.1016/0079-6700(91)90011-9 · Cited by 895
Zdrahala, R. J., & Zdrahala, I. J. (1999) · Journal of Biomaterials Applications · doi:10.1177/088532829901400104 · Cited by 540
The structure, microphase-separated morphology, and property of polyurethanes and polyureas
He, Y., Xie, D., & Zhang, X. (2014) · Journal of Materials Science · doi:10.1007/s10853-014-8458-y · Cited by 289
Metadata
- Authors
- Cooper, S. L., & Tobolsky, A. V.
- Venue
- Journal of Applied Polymer Science
- Publisher
- Wiley
- Published
- 1966-12
- Volume
- 10
- Issue
- 12
- Pages
- 1837-1844
- ISSN
- 0021-8995 (ISSN-L)
- 1097-4628
- OpenAlex
- W2076363380
- Cited by
- 553
- References
- 0
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Properties of linear elastomeric polyurethanes. https://app.cochat.ai/papers/10.1002/app.1966.070101204
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- Cooper, S. L., & Tobolsky, A. V. (1966). Properties of linear elastomeric polyurethanes. Journal of Applied Polymer Science. https://doi.org/10.1002/app.1966.070101204
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
