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Separation of nitrogen from oxygen using a titanosilicate membrane prepared on a porous α-alumina support tube

Authors: Katsuki Kusakabe; Guoqing Guan; Shigeharu Morooka;

Separation of nitrogen from oxygen using a titanosilicate membrane prepared on a porous α-alumina support tube

Abstract

A zeolite membrane was formed on a porous α-alumina support tube by hydrothermal reaction using a solution which was appropriate for the synthesis of ETS-4 zeolite. The morphology and x-ray diffraction pattern of the top surface of the support tube were consistent with those of the ETS-4 zeolite. The permeances to single-component H2, CO2, O2, N2, and CH4 were in the range (0.8–2.5)×10− 8 mol m− 2 sec− 1 Pa− 1, while those to n-C4H10 and iso-C4H10 were less than 10− 11 mol m− 2 sec− 1 Pa− 1. This suggests that the membrane functioned as a molecular sieve with pores smaller than 0.4 nm. At a permeation temperature of 310K, the ideal N2/O2 separation factor was 2.8, and the N2/O2 separation factor was 2.3 and 3.2 for a mixture of and 4, respectively. Thus, the membrane is nitrogen-selective and can be used to enrich the oxygen level in air, which is fed on the pressurized side, without much loss of compression energy.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Average
Top 10%
Top 10%
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