Forecasting continuous carbon nanotube production in the floating catalyst environment
Autor: | Thurid Gspann, James Ryley, Wouter Sparreboom, Martin Sparkes, Adarsh Kaniyoor, Dion Oudejans, Troy Stehr, Gijs Ratering, Patrick J. Kiley, Gerhard Bauhuis, James A. Elliott, John S. Bulmer, Jenifer Mizen, Bill O’Neill |
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Přispěvatelé: | Kaniyoor, Adarsh [0000-0001-5851-1362], O'Neill, William [0000-0002-7910-0455], Elliott, James [0000-0002-4887-6250], Apollo - University of Cambridge Repository |
Rok vydání: | 2020 |
Předmět: |
Materials science
Hydrogen General Chemical Engineering chemistry.chemical_element 02 engineering and technology Chemical vapor deposition Carbon nanotube 010402 general chemistry 01 natural sciences Industrial and Manufacturing Engineering law.invention chemistry.chemical_compound symbols.namesake law Thiophene Environmental Chemistry Carbon nanotube fibers Argon Mass flow controller General Chemistry 021001 nanoscience & nanotechnology 0104 chemical sciences Volumetric flow rate chemistry Chemical engineering Floating catalyst symbols 0210 nano-technology Raman spectroscopy Design of experiments |
Popis: | 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. |
Databáze: | OpenAIRE |
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