Fully resolved numerical simulations of a micron-sized spherical particle residing on a surface with large-scale roughness are performed by using the Lattice-Boltzmann method.The aim is to investigate the influence of surface roughness on the detachment of fine drug particles from larger carrier particles for transporting fine drug particles in a DPI (dry powder inhaler).Often the carrier surface is modified by mechanical treatments for modifying the surface roughness in order to reduce the adhesion force of drug particles.Therefore,drug particle removal from the carrier surface is equivalent to the detachment of a sphere from a rough plane surface.Here a sphere with a diameter of 5 μm at a particle Reynolds number of 1.0,3.5 and 10 are considered.The surface roughness is described as regularly spaced semi-cylindrical asperities (with the axes oriented normal to the flow direction) on a smooth surface.The influence of asperity distance and size ratio (i.e.the radius of the semi-cylinder to the particle radius,Rc/Rd) on particle adhesion and detachment are studied.The asperity distance is varied in the range 1.2 ＜ L/Rd ＜ 2 and the semi-cylinder radius between 0.5 ＜ Rc/Rd ＜ 0.75.The required particle resolution and domain size are appropriately selected based on numerical studies,and a parametric analysis is performed to investigate the relationship between the contact distance (i.e.half the distance between the particle contact points on two neighbouring semi-cylinders),the asperity distance,the size ratio,and the height of the particle centroid from the plane wall.The drag,lift and torque acting on the spherical particle are measured for different particle Reynolds numbers,asperity distances and sizes or diameters.The detachment of particles from rough surfaces can occur through lift-off,sliding and rolling,and the corresponding detachment models are constructed for the case of rough surfaces.These studies will be the basis for developing Lagrangian detachment models that eventually should allow the optimisation of dry powder inhaler performance through computational fluid dynamics.