A method for calculating the surface area of numerically simulated aggregates

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dc.contributor.author Peng, Zhengbiao
dc.contributor.author Doroodchi, Elham
dc.contributor.author Sathe, Mayur J.
dc.contributor.author Joshi, Jyeshtharaj B.
dc.contributor.author Evans, Geoffrey M.
dc.contributor.author Moghtaderi, Behdad
dc.date.accessioned 2014-10-20T18:37:03Z
dc.date.accessioned 2014-10-20T18:39:11Z
dc.date.available 2014-10-20T18:37:03Z
dc.date.available 2014-10-20T18:39:11Z
dc.date.issued 2015-01
dc.identifier.citation Peng, Zhengbiao; Doroodchi, Elham; Sathe, Mayur; Joshi, Jyeshtharaj B.; Evans, Geoffrey M. and Moghtaderi, Behdad, "A method for calculating the surface area of numerically simulated aggregates", Advanced Powder Technology, DOI: 10.1016/j.apt.2014.08.005, vol. 26, no. 1, pp. 55-65, Jan. 2015.
dc.identifier.issn 0921-8831
dc.identifier.uri http://dx.doi.org/10.1016/j.apt.2014.08.005
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1437
dc.description.abstract The success of many industrial processes largely depends on the structural characteristics of aggregates. In intensive aerobic digestion process for wastewater treatment applications, the structural characteristics namely aggregate shape, size and therefore the aggregate surface area strongly influence the transfer of dissolved oxygen from the aeration process to aggregates of harmful contaminants/microorganisms. The aim of this study was to apply Discrete Element Modelling (DEM) techniques to the aggregation of suspended particles (microorganisms) to quantify the available surface area for convection and diffusion as a function of particles number concentration and surface charge. The simulation inputs included particle and fluid characteristics such as particle size and density, solid concentration, suspension pH and ionic strength. A post processing method based on the Go-chess concept was developed to quantify the surface area of aggregate structure. The simulation results showed that whilst an increase in connection points increases the total surface area of the aggregate, this does not necessarily translate into an increase in the surface area available for oxygen transfer as combinations of open and close pores are formed. Aggregate surface area was directly determined by aggregate structural characteristics, and increased rapidly when the coordination number was below 3.5 and the fractal dimension was less than 1.5. A correlation for prediction of aggregate external surface area was also proposed as a function of aggregate structural characteristics in terms of fractal dimension and coordination number. en_US
dc.description.statementofresponsibility by Zhengbiao Peng, Elham Doroodchi, Mayur Sathe, Jyeshtharaj B. Joshi, Geoffrey M. Evans and Behdad Moghtaderia
dc.format.extent vol. 26, no. 1, pp. 55-65
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Aggregate surface area en_US
dc.subject Fractal dimension en_US
dc.subject Coordination number en_US
dc.subject Numerical simulation en_US
dc.subject Structural characteristics en_US
dc.title A method for calculating the surface area of numerically simulated aggregates en_US
dc.type Article en_US
dc.relation.journal Advanced Powder Technology


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