We utilize a Monte Carlo simulation scheme based on the bond fluctuation model to simulate settlement of 'soft' adhesive particle onto sinusoidally-corrugated surfaces. Particles are composed of a hard inner core with a 'soft' adhesive shell made of surface grafted polymer chains. These chains adhere to surface lattice sites via pair wise non-specific interactions. This simulation is aimed at single particle adsorption and multiple particle behavior to find the highest energy locations for given test surfaces and elucidate test surface that reduce adhesion energy. Parameters in this study are set by the particle, the surface and an interaction parameter between the two. Particle parameters include core diameter (D), grafting density of polymer (s) and length of grafted polymer (N). Surface parameters include wavelength (?) and amplitude (A). Our results show that the wavelength of surface features plays a significant role in the settlement of single particle systems and multiple particle systems. At ? = D/2 we observe a minimum in the adhesion energy and at ? = D we observe a uniform settlement location of the particles. Increasing N leads to a reduction in the effectiveness of surface topography to direct the settlement of individual particles into specific sites on the substrate. Figure 1.  Simulation setups and particle parameters including particle size (D), grafting density of hairs (s), length of hairs (N) and the hair/substrate interaction parameter (e)

Adsorption of �soft� spherical particles onto sinusoidally-corrugated surfaces

248th National Meeting (2014)

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