Spettl, AaronAaronSpettlDosta, MaksymMaksymDostaKlingner, FrederikFrederikKlingnerHeinrich, StefanStefanHeinrichSchmidt, VolkerVolkerSchmidt2019-10-212019-10-212017Computers and Chemical Engineering (99):158-170 (2017)http://hdl.handle.net/11420/3595In process engineering, the breakage behavior of particles is needed for the modeling and optimization of comminution processes. A popular tool to describe (dynamic) processes is population balance modeling (PBM), which captures the statistical distribution of particle properties and their evolution over time. It has been suggested previously to split up the description of breakage into a machine function (modeling of loading conditions) and a material function (modeling of particle response to mechanical stress). Based on this idea, we present a mathematical formulation of machine and material functions and a general approach to compute them. Both functions are modeled using multivariate probability distributions, where in particular so-called copulas are helpful. These can be fitted to data obtained by the discrete element method (DEM). In this paper, we describe the proposed copula-based breakage model, and we construct such a model for an artificial dataset that allows to evaluate the prediction quality.en0098-13542017158170Breakage functionBreakage probabilityCopulaDiscrete element methodPopulation balance modelingJournal Article10.1016/j.compchemeng.2017.01.023Other