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Introducing a reduced particle stiffness in discrete element method (DEM)allows for bigger time steps and therefore fewer total iterations in asimulation. Although this approach works well for dry non-adhesive particles,it has been shown that for fine particles with adhesion, system behaviors aredrastically sensitive to the particle stiffness. Besides, a simple andapplicable principle to set the parameters in adhesive DEM is also lacking. Tosolve these two problems, we first propose a fast DEM based on scaling laws toreduce particle Young's modulus, surface energy and to modify rolling andsliding resistances simultaneously in the framework of Johnson-Kendall-Roberts(JKR)-based contact theory. A novel inversion method is then presented to helpusers to quickly determine the damping coefficient, particle stiffness andsurface energy to reproduce a prescribed experimental result. After validatingthis inversion method, we apply the fast adhesive DEM to packing problems ofmicroparticles. Measures of packing fraction, averaged coordination number anddistributions of local packing fraction and contact number of each particle arein good agreement with results simulated using original value of particleproperties. The new method should be helpful to accelerate DEM simulations forsystems associated with aggregates or agglomerates.

A fast adhesive discrete element method for random packings of fine particles