https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34577 X, set at a specific level, to produce a set of seven or more fractions of varying mass and increasing average density. This study then describes a new algorithm that attempts to recover the partition curve of the original steady-state separator, using only the three sets of limited fractionation data and the assumption that the form of the partition curve equation is known. The algorithm first uses a simple interpolation rule to convert each set of fractionation data into a cumulative density distribution. Then the feed density distribution and the partition curve parameters are simultaneously adjusted until a consistent set of feed, product and reject density distributions is found with minimum variation from the raw fractionation data. The algorithm was applied to a simple rectangular feed distribution, and then a more realistic distribution. In both cases the algorithm accurately determined the density cut point (D₅₀) of the separator, even for poor quality fractionations. The accuracy of the determined separator Ep value depended on the fractionator Ep_X and the amount of near-density material. For the simple rectangular distribution, the algorithm under predicted the separator Ep, with the error being about 34% of the fractionator Ep_X. For the more realistic feed distribution, there was more scatter in the Ep values, but still the same general trend. The error increased when there was little near-density material. Increasing the number of flow fractions from 7 to 11 brought some improvement in accuracy. However, above 11 fractions there was no further significant improvement. Expressing the partition function in terms of D₇₅ and D₂₅ (instead of D₅₀ and Ep) reduced the sensitivity of the algorithm to the initial guess values.]]> Wed 24 Jun 2020 14:58:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34571 Wed 12 Aug 2020 13:20:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34575 Wed 12 Aug 2020 09:29:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37376 Wed 05 Jul 2023 11:30:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37284 Tue 27 Feb 2024 13:52:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34576 Tue 01 Sep 2020 13:32:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30861 Mon 15 Mar 2021 10:08:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51562 Mon 11 Sep 2023 10:02:52 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37614 Mon 01 Mar 2021 10:14:52 AEDT ]]>