Forecasting continuous carbon nanotube production in the floating catalyst environment
Forecasting continuous carbon nanotube production in the floating catalyst environment
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DOI:
10.1016/j.cej.2020.124497
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发表时间:
2020-06
影响因子:
15.1
通讯作者:
J. Bulmer;Adarsh Kaniyoor;T. Gspann;Jenifer Mizen;J. Ryley;Patrick J. Kiley;Gijs H. J. M. Ratering-
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文献类型:
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作者:
J. Bulmer;Adarsh Kaniyoor;T. Gspann;Jenifer Mizen;J. Ryley;Patrick J. Kiley;Gijs H. J. M. Ratering-
We present validated statistical models and univariate correlations of carbon nanotube (CNT) textile properties (specific electrical conductivity, Raman G:D ratio and mass yield rate) extracted continuously from floating catalyst chemical vapour deposition (FC-CVD) reactors over a uniquely wide multivariate experimental space. This includes directly controlled reactor settings (e.g.precursor concentrations, gas flow rates, furnace temperatures and winding speeds), indirect parameters (e.g.ambient temperature and pressure), and time-dependent reactor influences such as reactor tube age. Two vertical FC-CVD reactors, with different precursor delivery architectures, were considered: 1) in which precursors were pre-mixed together as a liquid solution that was directly injected into reactor; 2) in which vaporised precursors were independently injected in the gas phase using Coriolis-based microfluidic mass flow controllers with concentrations monitored in-line using FTIR spectroscopy. Factors favouring highest electrical conductivity fibres include: lower hydrogen flows, lean fuel-to-gas mixtures, higher winding rates, higher argon flows, with many thiophene concentration interactions with other parameters; for highest Raman G:D ratios: leaner fuel-to-gas mixtures, lower thiophene concentrations, higher hydrogen flows, and greater external laboratory pressure; but for yield rate, systematic trends were harder to discern. This study demonstrates the degree of predictability in FC-CVD reactors, quantitatively ranks impact of FC-CVD parameters, and identifies regions of fibre “spinnability” which correspond well with a recent meta-analysis of experimental results in the literature.