Development of an empirical mathematical model for a pulse sieve-plate extraction column / R.F. Pilgrim and F.J. Kelly, Extraction Metallurgy Division. : M34-20/164E-PDF

“A satisfactory empirical mathematical model has been obtained to relate the extraction of uranium from an aqueous solution that pulsates through vertically-spaced horizontal sieve-plates in a short vertical column to the sieve-plate spacing, pulse frequency, pulse height, flow rate of aqueous solution, plate diameter, and to the position of the inlet for the organic extractant. This was done by multivariable regression analysis of 34 statistically designed tests. The final model is complex but it indicates, in general, that higher extractions are related to the result of the interaction between the pulse frequency and pulse height, to closer plates-pacing, to lower aqueous flow rates, to larger-diameter sieve-plates, and to the distance between the inlet for the organic extractant and the axis of the column. It was also shown that assessment of optimum operating conditions for the column by traditional visual observations was not satisfactory for the tests described herein"--Abstract, p. i.

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Renseignements sur la publication
Ministère/Organisme Canada. Natural Resources Canada.
Canada. Mines Branch.
Titre Development of an empirical mathematical model for a pulse sieve-plate extraction column / R.F. Pilgrim and F.J. Kelly, Extraction Metallurgy Division.
Titre de la série Technical bulletin ; TB 164
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Cover title.
"December 1972."
Digitized edition from print [produced by Natural Resources Canada].
Includes bibliographical references (p. 15).
Includes abstract in French.
Information sur la publication Ottawa : Information Canada, 1973.
Auteur / Contributeur Pilgrim, R. F.
Kelly, F. J.
Description iii, 27 p. : charts, ill.
Numéro de catalogue
  • M34-20/164E-PDF
Numéro de catalogue du ministère 300046
Descripteurs Minerals
Processing
Models
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