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Title: The deformation and failure response of closed-cell PMDI foams subjected to dynamic impact loading

Journal Article · · Polymer Testing
 [1];  [1];  [1];  [2]
  1. Univ. of South Carolina, Columbia, SC (United States)
  2. Sandia National Lab. (SNL-CA), Livermore, CA (United States)

The present work aims to investigate the bulk deformation and failure response of closed-cell Polymeric Methylene Diphenyl Diisocyanate (PMDI) foams subjected to dynamic impact loading. First, foam specimens of different initial densities are examined and characterized in quasi-static loading conditions, where the deformation behavior of the samples is quantified in terms of the compressive elastic modulus and effective plastic Poisson's ratio. Then, the deformation response of the foam specimens subjected to direct impact loading is examined by taking into account the effects of material compressibility and inertia stresses developed during deformation, using high speed imaging in conjunction with 3D digital image correlation. The stress-strain response and the energy absorption as a function of strain rate and initial density are presented and the bulk failure mechanisms are discussed. As a result, it is observed that the initial density of the foam and the applied strain rates have a substantial influence on the strength, bulk failure mechanism and the energy dissipation characteristics of the foam specimens.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1235336
Alternate ID(s):
OSTI ID: 1476942
Report Number(s):
SAND-2015-0445J; 562342
Journal Information:
Polymer Testing, Vol. 44, Issue C; ISSN 0142-9418
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 23 works
Citation information provided by
Web of Science

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Cited By (1)

Full-field Ultrahigh-speed Quantification of Dynamic Shear Ruptures Using Digital Image Correlation journal April 2019