Aggregation and breakup of colloidal particle aggregates in shear flow: A combined Monte Carlo - Stokesian dynamics approach

• Published in: Powder technology Vol. 388; pp. 357 - 370
• Main Authors: Frungieri, Graziano, Vanni, Marco
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.08.2021; Elsevier BV
• Subjects: Agglomeration; Aggregates; Aggregation; Algorithms; Breakup; Colloidal suspensions; Colloiding; Discrete element method; Monte Carlo; Monte Carlo simulation; Shear flow; Shear stress; Shearing; Solid suspensions; technology; Aggregation; Colloidal suspensions; Breakup; Discrete element method; Monte Carlo; Shear flow
• ISSN: 0032-5910; 1873-328X
• DOI: 10.1016/j.powtec.2021.04.076

A method for the simulation of aggregation and breakup processes in colloidal particle suspensions is presented. The method combines a Monte Carlo algorithm to determine, on the basis of probabilistic considerations, the sequence of aggregation and breakup events, and a Discrete Element Method, built in the framework of Stokesian dynamics and contact mechanics, to accurately reproduce them. Liquid-solid suspensions subject to a uniform shear stress are investigated. The model is seen to be able to reproduce the typical dynamic steady state which is observed in colloidal suspensions under severe shearing, in which the effects of aggregation and breakup balance each other. The structural properties of the aggregates and the dynamics of the aggregation and breakup phenomena are characterized in detail. Both fragmentation and erosion are seen to contribute to the breakup process, which is characterized by an exponent similar to the one reported in the literature for compact clusters. [Display omitted] •A method to study shear aggregation and breakup in colloidal suspensions is reported.•A Monte Carlo algorithm is used to sample an expected sequence of particle events.•A discrete element method reproduces in detail aggregation and breakup events.•An equilibrium between aggregation and breakup of colloidal clusters is reached.•Size and shape distribution of the aggregates are characterized in detail.