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Predictive mechanistic model for single-layered pressure-sensitive adhesive (PSA) joints : Part I: Uniaxial tensile stress-strain response.
Huang, H; Dasgupta, A; Singh, N.
Afiliación
  • Huang H; University of Maryland, College Park, MD, USA. haohuang@umd.edu.
  • Dasgupta A; University of Maryland, College Park, MD, USA.
  • Singh N; Microsoft Corporation, Redmond, WA, USA.
Eur Phys J E Soft Matter ; 43(9): 59, 2020 Sep 22.
Article en En | MEDLINE | ID: mdl-32965566
ABSTRACT
Modeling the deformation of structures containing pressure-sensitive adhesive (PSA) joints can be a challenging task because of the dependence of the deformation mechanism on a) PSA adhesive properties and b) the bonding substrate's surface properties, such as surface energy and surface roughness. These parameters have significant and unique effects on the mechanical response of the joint. This paper is part of a two-part series, where a mechanism-based predictive modeling approach, supported by empirical observations, is presented for modeling the uniaxial tensile mechanical behavior of single-layered PSA joints based on acrylic PSA materials. This paper (Part I) addresses the stress-strain response, while Part II of this series will address the creep behavior. The underlying model is based on multiple mechanisms i) cavity nucleation and growth in the bulk adhesive material of the PSA system, as well as at the interfaces between the PSA and the substrate; ii) fibrillation of the cavitated adhesive layer and iii) interfacial slippage between the adhesive and the bonding substrate; iv) PSA delamination from the substrate. This predictive model can be used as a virtual testing tool to generate stress-strain curves for constitutive models of PSA joints under different tensile loading conditions.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Phys J E Soft Matter Asunto de la revista: BIOFISICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Phys J E Soft Matter Asunto de la revista: BIOFISICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos