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Cited by 3,379

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Polymer Interface and Adhesion

Wu, Souheng·2017·Routledge eBooks

Abstract

Poly mer Interface and Adhesion provides the critical basis for further advancement in thisfield. Combining the principles of interfacial science, rheology, stress analysis, and fracturemechanics, the book teaches a new approach to the analysis of long standing problemssuch as: how is the interface formed; what are its physical and mechanical properties;and how does the interface modify the stress field and fracture strength of the material.The book offers many outstanding features, including extensive listings of pertinent references,exhaustive tabulations of the interfacial properties of polymers, critical reviews ofthe many conflicting theories, and complete discussions of coupling agents, adhesion promotion,and surface modifications. Emphasis is placed on physical concepts and mechanisms,using clear, understandable mathematics.Polymer Interface and Adhesion promotes a more thorough understanding of the physical,mechanical, and adhesive properties of multiphase, polymer systems. Polymer scientistsand engineers, surface chemists, materials scientists, rheologists, as well as chemical andmechanical engineers interested in the research, development or industrial applications ofpolymers, plastics, fibers, coatings, adhesives, and composites need this important newsource book.

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Metadata

Authors
Wu, S.
Venue
Routledge eBooks
Publisher
Routledge
Published
2017-11-22
OpenAlex
W123543948
Cited by
3,379
References
0
Type
reference entry
Language
en
Open access
closed

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CoChat. (2026). Citation check: Polymer Interface and Adhesion. https://app.cochat.ai/papers/10.1201/9780203742860
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Wu, S. (2017). Polymer Interface and Adhesion. Routledge eBooks. https://doi.org/10.1201/9780203742860

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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.