Imperial College London
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Dr Andrew J Haslam

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5618a.haslam CV

 
 
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Location

 

408Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Campos-Villalobos:2019:10.1080/00268976.2019.1665724,
author = {Campos-Villalobos, G and Ravipati, S and Haslam, AJ and Jackson, G and Suaste, J and Gil-Villegas, A},
doi = {10.1080/00268976.2019.1665724},
journal = {Molecular Physics: An International Journal at the Interface Between Chemistry and Physics},
pages = {3770--3782},
title = {Modelling adsorption using an augmented two-dimensional statistical associating fluid theory: 2D-SAFT-VR Mie},
url = {http://dx.doi.org/10.1080/00268976.2019.1665724},
volume = {117},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We present an extension of the SAFT-VR Mie approach to model adsorption of molecular fluids based on a two-dimensional (2D) approximation to describe the adsorbed fluid. Analytical results are provided for the first- and second-order perturbation terms of the free energy for the 2D system. The adsorption model is based on the assumption that the particle pair interactions in the adsorbed and bulk phases are described with the same Mie potential exponents λa and λr, in contrast with the square-well version of the 2D-SAFT-VR approach in which it is considered necessary to modify the attractive ranges of the SW interactions. This important difference between the two approaches leads to a reduction in the number of molecular parameters to be determined. In order to demonstrate the performance of the 2D-SAFT-VR Mie approach, we present results for the the modelling of carbon dioxide (CO2) and methane (CH4) adsorbed onto dry coal.
AU  - Campos-Villalobos,G
AU  - Ravipati,S
AU  - Haslam,AJ
AU  - Jackson,G
AU  - Suaste,J
AU  - Gil-Villegas,A
DO  - 10.1080/00268976.2019.1665724
EP  - 3782
PY  - 2019///
SN  - 0026-8976
SP  - 3770
TI  - Modelling adsorption using an augmented two-dimensional statistical associating fluid theory: 2D-SAFT-VR Mie
T2  - Molecular Physics: An International Journal at the Interface Between Chemistry and Physics
UR  - http://dx.doi.org/10.1080/00268976.2019.1665724
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000487616200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.tandfonline.com/doi/full/10.1080/00268976.2019.1665724
UR  - http://hdl.handle.net/10044/1/73958
VL  - 117
ER  -
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