Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-29T07:27:33.575Z Has data issue: false hasContentIssue false

The Functional Dependence of Leaching on The Surface Area-To-Solution Volume Ratio

Published online by Cambridge University Press:  21 February 2011

Albert J. Machiels
Affiliation:
Nuclear Engineering Program, 103 S. Goodwin, University of Illinois, Urbana, Illinois, USA
Claudio Pescatore
Affiliation:
Nuclear Engineering Program, 103 S. Goodwin, University of Illinois, Urbana, Illinois, USA
Get access

Abstract

The effects of the surface area-to-solution volume ratio on waste glass leach rates are investigated from a theoretical point of view. Simple leach models are discussed first. Correlation variables to interpret the results of similar leaching experiments performed at different values of the surface area-to-solution volume ratio are obtained for static leach testing. For dynamic leaching conditions, the source term required for risk assessment is derived and its dependence on the leachant flow rate and leach specimen surface area is discussed. The findings are upheld by a more complex leach model, the mathematical formulation of which has been implemented in a computer code named LIX. When tested against actual PNL 76–68 glass leaching data, LIX shows excellent capabilities in reproducing the experimental evidence, in particular the effects of the surface area-to-solution volume ratio.

Type
Research Article
Copyright
Copyright © Materials Research Society 1983

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. Buckwalter, C. Q., Pederson, L. R., and McVay, G. L., J. Non-Crystalline Solids 49, 397 (1982).CrossRefGoogle Scholar
2. WRIT Program, Executive Summary Report of Technical Progress for July through September 1981 (Serne, R. J., Project Manager), Pacific Northwest Laboratory.Google Scholar
3. Pederson, L. R., Buckwalter, C. Q., and McVay, G. L., The Effects of Surface Area to Solution Volume on Waste Glass Leaching, PNL–SA–10306, Pacific Northwest Laboratory (1982).Google Scholar
4. Smith, P. K., and Baxter, C. A., Fracture During Cooling of Cast Borosilicate Glass Containing Nuclear Waste, DP–1602, Savannah River Laboratory (1981).Google Scholar
5. Pescatore, C., and Machiels, A. J., J. Non-Crystalline Solids 49, 379 (1982).Google Scholar
6. Pescatore, C., Simonson, S. A., and Machiels, A. J., Waste Management '82, (Roy G. Post, Editor) 3, 323 (1982).Google Scholar
7. Pescatore, C., and Machiels, A. J., 10th IMACS World Congress on Systems Simulation and Scientific Computation 2, 283 (1982).Google Scholar
8. Rimstidt, J. D., and Barnes, H. L., Geochim. Cosmochim. Acta 44, 1683 (1980).Google Scholar
9. Machiels, A. J., and Pescatore, C., Modeling of Waste Form Leaching - Part I: Status of Leach Modeling, UILU–ENG–82–5319, University of Illinois (1982).Google Scholar
10. Pescatore, C., Mechanistic Modeling of Nuclear Waste Form Leaching By Aqueous Solutions, Ph.D. Thesis, University of Illinois (1982).Google Scholar