کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1559915 1513898 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Molecular simulation of adsorption and separation of pure noble gases and noble gas mixtures on single wall carbon nanotubes
ترجمه فارسی عنوان
شبیه سازی مولکولی جذب و جداسازی گازهای خالص نجیب و مخلوط گاز نجیب در نانولوله های کربنی تک دیواره
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی


• Studied the whole group of noble gases adsorption on SWCNTs.
• Simulated the selective adsorption of binary and ternary noble gas mixtures.
• Investigated the loading proportion effect on selective adsorption of noble gases.

Grand Canonical Monte Carlo simulations were performed to systematically study the adsorption and separation of noble gases on single wall carbon nanotube (SWCNT) bundles. Pure noble gases, as well as binary and ternary mixtures, were simulated in carbon nanotube systems under various conditions. Adsorption data was collected at 100 K and 300 K over a wide range of pressures. Carbon nanotube bundles present distinct adsorption capacities towards different noble gases. In particular, larger and heavier noble gases are easier to be adsorbed at low pressure, while lighter atoms with smaller sizes can be better stored at high pressure. For noble gas mixtures with equal molar loadings, selective adsorption was observed and the selectivity inverted at different pressure ranges according to the choice of mixtures. Furthermore, the influence of loading proportion of the components on the adsorption behavior was investigated by varying the loading partial pressure in binary mixtures from 1% to 99%. The results suggest gas–CNT interactions dominate the adsorption selectivity at low loading conditions, whereas the entropic effect plays a more important role at high loadings.

Grand canonical Monte Carlo simulation of ternary noble gas mixture (Ne (blue), Kr (pink), Xe (green)) adsorption on single wall carbon nanotubes.Figure optionsDownload as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 114, March 2016, Pages 160–166
نویسندگان
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