4.7 Article

Particle arrangements in clay slurries: The case against the honeycomb structure

期刊

APPLIED CLAY SCIENCE
卷 152, 期 -, 页码 166-172

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.clay.2017.11.010

关键词

Clay colloids; High pressure freezing; Plunge freezing; Cryo SEM imaging; Honeycomb structure; Clay microstructure; Illite-Smectite

资金

  1. UT GeoFluids consortium at the University of Texas at Austin
  2. NSF [MRI-1229693]
  3. Northwestern University Materials Research Center [NSF DMR-1121262]
  4. International Institute for Nanotechnology (IIN)
  5. National Science Foundation [ECS-0335765]
  6. MRSEC Program at the Materials Research Center [NSF DMR-1121262]
  7. Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource [NSF NNCI-1542205]
  8. Northwestern University
  9. E.I. DuPont de Nemours Co.
  10. Dow Chemical Company
  11. [DE-AC02-06CH11357]

向作者/读者索取更多资源

The properties of clay slurries (porosity similar to 0.75) impact a wide range of materials such as commercial clay dispersions and sedimentary deposits. Their material behavior, and in particular the gelation of clay slurries, is thought to be governed by clay particle interactions. In the literature, such interactions are rarely directly probed, but rather inferred from structures observed by cryo-electron microscopy. For example, the honeycomb structure is a widely accepted textbook model that is used to rationalize the observed behavior of clay slurries. Using high-pressure freezing, cryo-electron microscopy, and cryo-synchrotron wide-angle X-ray scattering, this study shows that the honeycomb-structure is an artifact of sample preparation. When samples are high-pressure frozen, individual clay particles and aggregates of particles arrange in a random orientation rather than the closed-cell structure dominated by face-face and face-edge contacts observed in plunge frozen samples. These results substantially contribute to the understanding of the gelation mechanism and particle interactions in colloidal clay slurries, and provide valuable input parameters for meso-scale modeling efforts of clay dispersions and sedimentary deposits to upscale their mechanical properties to the macroscale.

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