Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-20T07:18:36.495Z Has data issue: false hasContentIssue false
  • English
  • Français

Nanoindentation of particulate coatings

Published online by Cambridge University Press:  31 January 2011

M. J. Adams ,
A. Akram ,
B. J. Briscoe ,
C J. Lawrence  and
D. Parsonage
M. J. Adams
Affiliation:
Particle Technology Group, Department of Chemical Engineering and Chemical Technology, Imperial College of Science, Technology and Medicine, London SW7 2BY, United Kingdom
A. Akram
Affiliation:
Particle Technology Group, Department of Chemical Engineering and Chemical Technology, Imperial College of Science, Technology and Medicine, London SW7 2BY, United Kingdom
B. J. Briscoe*
Affiliation:
Particle Technology Group, Department of Chemical Engineering and Chemical Technology, Imperial College of Science, Technology and Medicine, London SW7 2BY, United Kingdom
C J. Lawrence
Affiliation:
Particle Technology Group, Department of Chemical Engineering and Chemical Technology, Imperial College of Science, Technology and Medicine, London SW7 2BY, United Kingdom
D. Parsonage
Affiliation:
Particle Technology Group, Department of Chemical Engineering and Chemical Technology, Imperial College of Science, Technology and Medicine, London SW7 2BY, United Kingdom
*
a)Address all correspondence to this author. e-mail: [email protected]
Get access

Abstract

A knowledge of the formation and rupture mechanisms for agglomerates is essential when seeking to model equipment designed to produce and process such materials. In the work described here, nanoindentation of “two-dimensional” agglomerate films, basically particulate coatings, was carried out to establish a means of identifying the generic breakage mechanisms for agglomerates. Selected applied load and penetration depth data in the range (0.02 mN and 700 nm, respectively) are provided as a function of the loading time during continuous loading for a model system composed rather of monodispersed colloidal silica particles (20–24 nm diameter) bound with a poly(methyl methacrylate) at 5 vol%. It is argued that these data enable the sequence of binder bridge failures to be observed, thus giving an indication of the breakage mechanism of the agglomerate and also the strength of the individual junctions. These data are also incorporated into a mechanical model that describes the rupture and deformation behavior of these planar agglomerate systems.

Type
Articles
Information
Journal of Materials Research , Volume 14 , Issue 6 , June 1999 , pp. 2344 - 2350
Copyright
Copyright © Materials Research Society 1999

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1.Pharr, G.M. and Oliver, W. C., MRS Bull., 28–33 (July 1992).Google Scholar
2.Pharr, G.M., Harding, D. S., and Oliver, W. C., Mechanical Properties and Deformation Behaviour of Materials Having Ultra Fine Microstructures, edited by Nastasi, M.et al. (Kluwer Academic Publishers, Dordrecht, The Netherlands, 1993), pp. 449–461.Google Scholar
3.Doerner, M.F. and Nix, W.D., J. Mater. Res. 1, 601–609 (1986).Google Scholar
4.Rumpf, H., The Strength of Granules and Agglomerates, edited by Knepper, W. A. (Interscience Publishers, New York, 1962), pp. 379–418.Google Scholar
5.Schubert, H., Herrmann, W., and Rumpf, H., Powder Technol. 11, 121–131 (1975).Google Scholar
6.Adams, M.J., Seville, J. P. K., and Mullier, M. A., Chem. Eng. Sci. 42 (4), 667–677 (1987).Google Scholar
7.Kendall, K., Powder Metall. 31 (1), 28–31 (1988).Google Scholar
8.Seville, J. P. K., Solid-Solid Interactions (Imperial College Press), pp. 225–237.Google Scholar
9.Oliver, W.C. and Pethica, J.B., “Method of continuous determination of the elastic stiffness of contact between two bodies,” U.S. Patent No. 4,848,141 (July 1989).Google Scholar
10.Chatfield, C., The Analysis of Time Series—An Introduction, 4th ed. (Chapman and Hall, London, 1989).Google Scholar
11.Chatfield, C., Statistics for Technology, a Course in Applied Statistics, 3rd ed. (Chapman and Hall, London, 1983).Google Scholar
12.Briscoe, B. J., Winkler, A., and Adams, M. J., J. Phys. D: Appl. Phys. 18, 2143–2167 (1985).Google Scholar
13.Benjamin, J. R. and Cornell, C. A., Probability, Statistics and Decisions for Civil Engineers (McGraw-Hill Book Company, New York, 1970).Google Scholar
14.Briscoe, B. J. and Sebastian, K. S., Proceedings of the Royal Society London 1996, A452, pp. 439–457.Google Scholar
15.Briscoe, B. J., Adams, M. J., and Sebastian, K.S., J. Phys. D: Appl. Phys. 27, 1156–1162 (1994).CrossRefGoogle Scholar
16.Briscoe, B. J. and Panesar, S. S., J. Adhes. Sci. Technol. 2 (4), 287–310 (1988).Google Scholar
17.Briscoe, B. J. and Panesar, S. S., J. Adhes. Sci. Technol. 8 (12), 1485–1504 (1994).Google Scholar
18.Briscoe, B. J. and Smith, A. C., J. Appl. Polym. Sci. 28, 3827–3848 (1983).Google Scholar
19.Pethica, J. B. and Asif, S.A. S., Philos. Mag. A 76 (6), 1105–1118 (1997).Google Scholar