1970
DOI: 10.1007/bf01166517
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Design of cascades for separating isotope mixtures

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1986
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Cited by 21 publications
(5 citation statements)
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“…Considering the explicit form (1) for the values of u i as well as small Q i (Q i < < 1) and passing in (6) from finite difference equations to differential ones, one obtains Differentiation of Eqs (7). with respect to the l variable leads to a new set of equations:…”
Section: Q-cascade With Losses Of Working Substancementioning
confidence: 99%
See 1 more Smart Citation
“…Considering the explicit form (1) for the values of u i as well as small Q i (Q i < < 1) and passing in (6) from finite difference equations to differential ones, one obtains Differentiation of Eqs (7). with respect to the l variable leads to a new set of equations:…”
Section: Q-cascade With Losses Of Working Substancementioning
confidence: 99%
“…The model of the Q-cascade is widely used in modeling the separation process of multi-isotope mixture under the condition of ''the weak enrichment'' (7,8).…”
Section: Model Of Q-cascadementioning
confidence: 99%
“…Considering that the total flow of a working substance in the cross-section where a feed flow enters to the cascade is equal to (Kolokoltsov et al, 1970;Zeng et al, 2011Zeng et al, , 2012Tolstoy, 2010) …”
Section: Mathematical Modelmentioning
confidence: 99%
“…This concept was further developed by the Russian scientists in 1970s (Kolokoltsov et al, 1970(Kolokoltsov et al, , 1973Kolokoltsov and Sulaberidze, 1971). There exist two main types of model cascades, which are a "quasi-ideal" cascade with arbitrary enrichments (Yamamoto and Kanagawa, 1978;Sazykin, 2000) and a Q-cascade with "weak" enrichments (Kolokoltsov et al, 1970) at cascade stages. The special case for both types is a Matched Abundance Ratio Cascade (MARC) (De la Garza et al, 1961;De la Garza, 1963;Von Halle, 1987).…”
Section: Introductionmentioning
confidence: 95%
“…A Q-cascade (Kucherov and Minenko, 1965;Kolokol'tsov et al, 1970) is a type of model separation cascades with continuous profiles. It was derived in the case of small separation factors, but in fact it is applicable to the case of arbitrary separation factors.…”
Section: Introductionmentioning
confidence: 99%